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Controlled Searching in Reversibly De-Identified Medical Imaging Archives
Publication date: Available online 7 December 2017 Source:Journal of Biomedical Informatics Author(s): Jorge Miguel Silva, Eduardo Pinho, Eriksson Monteiro, João Figueira Silva, Carlos Costa Nowadays, digital medical imaging in healthcare has become a fundamental tool for medical diagnosis. This growth has been accompanied by the development of technologies and standards, such as the DICOM standard and PACS. This environment led to the creation of collaborative projects where there is a need to share medical data between different institutions for research and educational purposes. In this context, it is necessary ...
Source: Journal of Biomedical Informatics - December 8, 2017 Category: Information Technology Source Type: research

Finding Representative Electrocardiogram Beat Morphologies with CUR
Publication date: Available online 7 December 2017 Source:Journal of Biomedical Informatics Author(s): Emily P. Hendryx, Béatrice M. Rivière, Danny C. Sorensen, Craig G. Rusin In this paper, we use the CUR matrix factorization as a means of dimension reduction to identify important subsequences in electrocardiogram (ECG) time series. As opposed to other factorizations typically used in dimension reduction that characterize data in terms of abstract representatives (for example, an orthogonal basis), the CUR factorization describes the data in terms of actual instances within the original data set. Therefore,...
Source: Journal of Biomedical Informatics - December 8, 2017 Category: Information Technology Source Type: research

Data Journeys: Identifying Social and Technical Barriers to Data Movement in Large, Complex Organisations
Publication date: Available online 6 December 2017 Source:Journal of Biomedical Informatics Author(s): Iliada Eleftheriou, Suzanne M. Embury, Rebecca Moden, Peter Dobinson, Andrew Brass Managers in complex organisations often have to make decisions on whether new software developments are worth undertaking or not. Such decisions are hard to make, especially at an enterprise level. Both costs and risks are regularly underestimated, despite the existence of a plethora of software and systems engineering methodologies aimed at predicting and controlling them. Our objective is to help managers and stakeholders of large, compl...
Source: Journal of Biomedical Informatics - December 7, 2017 Category: Information Technology Source Type: research

Definition of a SNOMED CT pathology subset and microglossary, based on 1.17 million biological samples from the Catalan Pathology Registry
This article explains the methodology used to: (a) identify the clinico-pathological entities and the molecular diagnostic procedures not included in SNOMED CT; (b) define the theoretical subset and microglossary of pathology; (c) describe the SNOMED CT concepts used by pathologists of 1.17 million samples of the Catalan Pathology Registry; and (d) adapt the theoretical subset and the microglossary according to the actual use of SNOMED CT. Of the 328,365 concepts available for coding the diagnoses (326,732 in SNOMED CT and 1576 in Catalan extension), only 2% have been used. Combining two axes of SNOMED CT, body structure a...
Source: Journal of Biomedical Informatics - December 6, 2017 Category: Information Technology Source Type: research

Flexible, Cluster-Based Analysis of the Electronic Medical Record of Sepsis with Composite Mixture Models
Publication date: Available online 2 December 2017 Source:Journal of Biomedical Informatics Author(s): Michael B. Mayhew, Brenden K. Petersen, Ana Paula Sales, John D. Greene, Vincent X. Liu, Todd S. Wasson The widespread adoption of electronic medical records (EMRs) in healthcare has provided vast new amounts of data for statistical machine learning researchers in their efforts to model and predict patient health status, potentially enabling novel advances in treatment. In the case of sepsis, a debilitating, dysregulated host response to infection, extracting subtle, uncataloged clinical phenotypes from the EMR with stat...
Source: Journal of Biomedical Informatics - December 6, 2017 Category: Information Technology Source Type: research

Heritable genotype contrast mining reveals novel gene associations specific to autism subgroups
This study analyzed 12 autism subgroups, but our informatics method can explore other meaningful divisions of autism patients, and can further be applied to reveal precise genetic associations within other phenotypically heterogeneous disorders, such as Alzheimer’s disease. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - December 6, 2017 Category: Information Technology Source Type: research

Clinical information extraction applications: A literature review
Conclusions Clinical IE has been used for a wide range of applications, however, there is a considerable gap between clinical studies using EHR data and studies using clinical IE. This study enabled us to gain a more concrete understanding of the gap and to provide potential solutions to bridge this gap. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - December 6, 2017 Category: Information Technology Source Type: research

A cloud-based framework for large-scale traditional Chinese medical record retrieval
Conclusions: In conclusion, compared with the current medical record retrieval systems, our system provides some advantages that are useful in improving the secondary use of large-scale traditional Chinese medical records in cloud environment. The proposed system is more easily integrated with existing clinical systems and be used in various scenarios. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - December 6, 2017 Category: Information Technology Source Type: research

Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort
Publication date: January 2018 Source:Journal of Biomedical Informatics, Volume 77 Author(s): Imon Banerjee, Matthew C. Chen, Matthew P. Lungren, Daniel L. Rubin We proposed an unsupervised hybrid method – Intelligent Word Embedding (IWE) that combines neural embedding method with a semantic dictionary mapping technique for creating a dense vector representation of unstructured radiology reports. We applied IWE to generate embedding of chest CT radiology reports from two healthcare organizations and utilized the vector representations to semi-automate report categorization based on clinically relevant categorization...
Source: Journal of Biomedical Informatics - December 6, 2017 Category: Information Technology Source Type: research

Learning bundled care opportunities from electronic medical records
Conclusions The findings suggest that an automated EMR data-driven framework conducted can provide a basis for discovering bundled care opportunities. Still, translating such findings into actual care management will require further refinement, implementation, and evaluation. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - December 6, 2017 Category: Information Technology Source Type: research

IMA: Identifying disease-related genes using MeSH terms and association rules
In this study, we identified 20 genes for each disease. Among them, we presented 34 important candidate genes with evidence that supports the relationship of the candidate genes with diseases. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 16, 2017 Category: Information Technology Source Type: research

Logical Comparison over RDF Resources in Bio-Informatics
Publication date: Available online 7 November 2017 Source:Journal of Biomedical Informatics Author(s): S. Colucci, F.M. Donini, E. Di Sciascio Comparison of resources is a frequent task in different bio-informatics applications, including drug-target interaction, drug repositioning and mechanism of action understanding, among others. This paper proposes a general method for the logical comparison of resources modeled in Resource Description Framework and shows its distinguishing features with reference to the comparison of drugs. In particular, the method returns a description of the commonalities between resources, rathe...
Source: Journal of Biomedical Informatics - November 15, 2017 Category: Information Technology Source Type: research

Personalized Long-Term Prediction of Cognitive Function: Using Sequential Assessments to Improve Model Performance
Publication date: Available online 10 November 2017 Source:Journal of Biomedical Informatics Author(s): Chih-Lin Chi, Wenjun Zeng, Wonsuk Oh, Soo Borson, Tatiana Lenskaia, Xinpeng Shen, Peter J. Tonellato Prediction of onset and progression of cognitive decline and dementia is important both for understanding the underlying disease processes and for planning health care for populations at risk. Predictors identified in research studies are typically accessed at one point in time. In this manuscript, we argue that an accurate model for predicting cognitive status over relatively long periods requires inclusion of time-vary...
Source: Journal of Biomedical Informatics - November 15, 2017 Category: Information Technology Source Type: research

A Novel Bagging C4.5 Algorithm Based on Wrapper Feature Selection for Supporting Wise Clinical Decision Making
Publication date: Available online 11 November 2017 Source:Journal of Biomedical Informatics Author(s): Shin-Jye Lee, Zhaozhao Xu, Tong Li, Yun Yang From the perspective of clinical decision-making in a Medical IoT-based healthcare system, achieving effective and efficient analysis of long-term health data for supporting wise clinical decision-making is an extremely important objective, but determining how to effectively deal with the multi-dimensionality and high volume of generated data obtained from Medical IoT-based healthcare systems is an issue of increasing importance in IoT healthcare data exploration and manageme...
Source: Journal of Biomedical Informatics - November 15, 2017 Category: Information Technology Source Type: research

Multi-method laboratory user evaluation of an actionable clinical performance information system: implications for usability and patient safety
Conclusions Comparing our results with the wider usability literature we refine a previously published set of interface design recommendations for e-A&F. The implications for patient safety are significant regarding: user engagement; actionability; and information prioritisation. Our results also support adopting multi-method approaches in usability studies to maximise: issue discovery; and the credibility of findings. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 15, 2017 Category: Information Technology Source Type: research

Recurrent neural networks with specialized word embeddings for health-domain named-entity recognition
Conclusions We present a state-of-the-art system for DNR and CCE. Automated word embeddings has allowed us to avoid costly feature engineering and achieve higher accuracy. Nevertheless, the embeddings need to be retrained over datasets that are adequate for the domain, in order to adequately cover the domain-specific vocabulary. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 15, 2017 Category: Information Technology Source Type: research

Behavioural Informatics for Improving Water Hygiene Practice based on IoT Environment
In this study, we presented a behavioural information system and water use behaviour model using IoT platform. Using Expanded Theory of Planned Behaviour (ETPB) and adopted structure equation model, this study offers a solution for understanding the behaviour intervention mechanism and methodology for developing empirical model. A case study of behaviour intervention model is presented by utilising residential water conservation behaviour data collected in China. Results suggested that cultural differences have significant influences on the understanding of intervention drivers, promoting projects and increasing awareness,...
Source: Journal of Biomedical Informatics - November 15, 2017 Category: Information Technology Source Type: research

Predicting Age by Mining Electronic Medical Records with Deep Learning Characterizes Differences between Chronological and Physiological Age
In conclusion, we demonstrate how EMR data can be used to assess overall health via a scale that is based on deviation from the patient’s predicted chronological age. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 5, 2017 Category: Information Technology Source Type: research

Validating EHR clinical models using ontology patterns
Publication date: Available online 4 November 2017 Source:Journal of Biomedical Informatics Author(s): Catalina Martínez-Costa, Stefan Schulz Clinical models are artefacts that specify how information is structured in electronic health records (EHRs). However, the makeup of clinical models is not guided by any formal constraint beyond a semantically vague information model. We address this gap by advocating ontology design patterns as a mechanism that makes the semantics of clinical models explicit. This paper demonstrates how ontology design patterns can validate existing clinical models using SHACL. Based on the ...
Source: Journal of Biomedical Informatics - November 5, 2017 Category: Information Technology Source Type: research

Toward multimodal signal detection of adverse drug reactions
Conclusions The results support the notion that utilizing and jointly analyzing multiple data sources may lead to improved signal detection. Given certain data and benchmark limitations, the early stage of development, and the complexity of ADRs, it is currently not possible to make definitive statements about the ultimate utility of the concept. Continued development of multimodal signal detection requires a deeper understanding the data sources used, additional benchmarks, and further research on methods to generate and synthesize signals. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 2, 2017 Category: Information Technology Source Type: research

HAMDA: Hybrid Approach for MiRNA-Disease Association prediction
In this study, we developed a computational model of Hybrid Approach for MiRNA-Disease Association prediction (HAMDA), which involved the hybrid graph-based recommendation algorithm, to reveal novel miRNA-disease associations by integrating experimentally verified miRNA-disease associations, disease semantic similarity, miRNA functional similarity, and Gaussian interaction profile kernel similarity into a recommendation algorithm. HAMDA took not only network structure and information propagation but also node attribution into consideration, resulting in a satisfactory prediction performance. Specifically, HAMDA obtained AU...
Source: Journal of Biomedical Informatics - November 1, 2017 Category: Information Technology Source Type: research

Semantic analysis of thyroid cancer cell proteins obtained from rare research opportunities
Publication date: Available online 18 October 2017 Source:Journal of Biomedical Informatics Author(s): Johann Bauer, Daniela Grimm, Erich Gombocz Research in natural sciences is mainly done by means of experiments. Some of those experiments such as spaceflight-dependent experiments are extremely laborious, complex and expensive. Hence, they often remain rare events with little chances of statistical tests and possibilities of repetition. In order to make each single event as valuable as possible, a sophisticated comparison of experimental data received with the hundreds of millions of computer-stored documents appears nec...
Source: Journal of Biomedical Informatics - October 27, 2017 Category: Information Technology Source Type: research

The Ranking of Scientists Based on Citations
Publication date: Available online 25 October 2017 Source:Journal of Biomedical Informatics Author(s): David W. Bates (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 26, 2017 Category: Information Technology Source Type: research

Beyond Discrimination: a Comparison of Calibration Methods and Clinical Usefulness of Predictive Models of Readmission Risk
Conclusions Choice of calibration method depends on availability of validation data and on performance. Improperly calibrated models may contribute to higher costs of intervention as measured via clinical usefulness. Decision-makers must understand underlying utilities or costs inherent in the use-case at hand to assess usefulness and will obtain the optimal risk threshold to trigger intervention and intervention cost limits as a result. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 25, 2017 Category: Information Technology Source Type: research

Qualitative review of usability problems in Health Information Systems for radiology
Conclusion These problems can make the interaction time consuming, causing delays in tasks, dissatisfaction, frustration, preventing users from enjoying all the benefits and functionalities of the system, as well as leading to more errors and difficulties in carrying out clinical analyses. Furthermore, the present paper showed a lack of studies performed on systems for radiology, especially usability evaluations using formal methods of evaluation involving the final users. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 22, 2017 Category: Information Technology Source Type: research

Semantic analysis of thyroid cancer cell proteins obtained from rare research opportunities.
Publication date: Available online 18 October 2017 Source:Journal of Biomedical Informatics Author(s): Johann Bauer, Daniela Grimm, Erich Gombocz Research in natural sciences is mainly done by means of experiments. Some of those experiments such as spaceflight-dependent experiments are extremely laborious, complex and expensive. Hence, they often remain rare events with little chances of statistical tests and possibilities of repetition. In order to make each single event as valuable as possible, a sophisticated comparison of experimental data received with the hundreds of millions of computer-stored documents appears nec...
Source: Journal of Biomedical Informatics - October 19, 2017 Category: Information Technology Source Type: research

Comparing the Historical Limits Method with Regression Models for Weekly Monitoring of National Notifiable Diseases Reports
Publication date: Available online 17 October 2017 Source:Journal of Biomedical Informatics Author(s): Hong Zhou, Howard Burkom, Tara W. Strine, Susan Katz, Ruth Jajosky, Willie Anderson, Umed Ajani To compare the performance of the standard Historical Limits Method (HLM), with a modified HLM (MHLM), the Farrington-like Method (FLM), and the Serfling-like Method (SLM) in detecting simulated outbreak signals. We used weekly time series data from 12 infectious diseases from the U.S. Centers for Disease Control and Prevention’s National Notifiable Diseases Surveillance System (NNDSS). Data from 2006-2010 were used as b...
Source: Journal of Biomedical Informatics - October 18, 2017 Category: Information Technology Source Type: research

A Natural Language Processing Challenge for Clinical Records: Research Domains Criteria (RDoC) for Psychiatry
Publication date: Available online 16 October 2017 Source:Journal of Biomedical Informatics Author(s): Ozlem Uzuner, Amber Stubbs, Michele Filannino (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 17, 2017 Category: Information Technology Source Type: research

Probabilistic Broken-Stick Model: A Regression Algorithm for Irregularly Sampled Data with Application to eGFR
Publication date: Available online 16 October 2017 Source:Journal of Biomedical Informatics Author(s): Norman Poh, Santosh Tirunagari, Nicholas Cole, Simon Lusignan In order for clinicians to manage disease progression and make effective decisions about drug dosage, treatment regimens or scheduling follow up appointments, it is necessary to be able to identify both short and long-term trends in repeated biomedical measurements. However, this is complicated by the fact that these measurements are irregularly sampled and influenced by both genuine physiological changes and external factors. In their current forms, existing ...
Source: Journal of Biomedical Informatics - October 17, 2017 Category: Information Technology Source Type: research

Can Teamwork and Situational Awareness (SA) in ED Resuscitations be Improved with a Technological Cognitive Aid? Design and a Pilot Study of a Team Situation Display
Conclusions: Overall, this pilot study implies that a situation display could facilitate better teamwork and team communication in the resuscitation event. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 17, 2017 Category: Information Technology Source Type: research

De-identification of medical records using conditional random fields and long short-term memory networks
Publication date: Available online 13 October 2017 Source:Journal of Biomedical Informatics Author(s): Zhipeng Jiang, Chao Zhao, Bin He, Yi Guan, Jingchi Jiang The CEGS N-GRID 2016 Shared Task 1 in Clinical Natural Language Processing focuses on the de-identification of psychiatric evaluation records. This paper describes two participating systems of our team, based on conditional random fields (CRFs) and long short-term memory networks (LSTMs). A pre-processing module was introduced for sentence detection and tokenization before de-identification. For CRFs, manually extracted rich features were utilized to train the mode...
Source: Journal of Biomedical Informatics - October 14, 2017 Category: Information Technology Source Type: research

The ranking of scientists based on scientific publications assessment
Publication date: Available online 12 October 2017 Source:Journal of Biomedical Informatics Author(s): Enver Zerem It is generally accepted that the scientific impact factor (Web of Science) and the total number of citations of the articles published in a journal, are the most relevant parameters of the journal's significance. However, the significance of scientists is much more complicated to establish and the value of their scientific production can not be directly reflected by the importance of the journals in which their articles are published. Evaluating the significance of scientists' accomplishments involves more c...
Source: Journal of Biomedical Informatics - October 13, 2017 Category: Information Technology Source Type: research

Computational prediction of therapeutic peptides based on graph index
Publication date: November 2017 Source:Journal of Biomedical Informatics, Volume 75 Author(s): Chunrui Xu, Li Ge, Yusen Zhang, Matthias Dehmer, Ivan Gutman As therapeutic peptides have been taken into consideration in disease therapy in recent years, many biologists spent time and labor to verify various functional peptides from a large number of peptide sequences. In order to reduce the workload and increase the efficiency of identification of functional proteins, we propose a sequence-based model, q-FP (functional peptide prediction based on the q-Wiener Index), capable of recognizing potentially functional proteins. We...
Source: Journal of Biomedical Informatics - October 10, 2017 Category: Information Technology Source Type: research

Consistent Discovery of Frequent Interval-Based Temporal Patterns in Chronic Patients ’ Data
Publication date: Available online 4 October 2017 Source:Journal of Biomedical Informatics Author(s): Alexander Shknevsky, Yuval Shahar, Robert Moskovitch Increasingly, frequent temporal patterns discovered in longitudinal patient records are proposed as features for classification and prediction, and as means to cluster patient clinical trajectories. However, to justify that, we must demonstrate that most frequent temporal patterns are indeed consistently discoverable within the records of different patient subsets within similar patient populations. We have developed several measures for the consistency of the discovery...
Source: Journal of Biomedical Informatics - October 5, 2017 Category: Information Technology Source Type: research

Detecting clinically related content in online patient posts
We present our results on testing text classification models that efficiently and accurately identify community posts containing clinical topics. We annotated 1,817 posts comprised of 4,966 sentences of an existing online diabetes community. We found that our classifier performed the best (F-measure: 0.83, Precision: 0.79, Recall:0.86) when using Naïve Bayes algorithm, unigrams, bigrams, trigrams, and MetaMap Symantic Types. Training took 5 seconds. The classification process took a fraction of 1 second. We applied our classifier to another online diabetes community, and the results were: F-measure: 0.63, Precision: 0...
Source: Journal of Biomedical Informatics - October 4, 2017 Category: Information Technology Source Type: research

Bridging the gap: incorporating a semantic similarity measure for effectively mapping PubMed queries to documents
Publication date: Available online 3 October 2017 Source:Journal of Biomedical Informatics Author(s): Sun Kim, Nicolas Fiorini, W. John Wilbur, Zhiyong Lu The main approach of traditional information retrieval (IR) is to examine how many words from a query appear in a document. A drawback of this approach, however, is that it may fail to detect relevant documents where no or only few words from a query are found. The semantic analysis methods such as LSA (latent semantic analysis) and LDA (latent Dirichlet allocation) have been proposed to address the issue, but their performance is not superior compared to common IR appr...
Source: Journal of Biomedical Informatics - October 4, 2017 Category: Information Technology Source Type: research

Evaluating the Granularity Balance of Hierarchical Relationships within Large Biomedical Terminologies towards Quality Improvement
In conclusion, the granularity balance of hierarchical semantic relationship is a valuable property to check for ontology quality assurance, and the scalable evaluation models proposed in this study are effective in fulfilling this task, especially in auditing relationships with sub-hierarchies, such as the seldom evaluated Part-Of relationship. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 4, 2017 Category: Information Technology Source Type: research

Personal Discovery in Diabetes Self-Management: Discovering Cause and Effect Using Self-Monitoring Data
Conclusions Enabling personal discovery is a promising new approach to enhancing chronic disease self-management with informatics interventions. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 1, 2017 Category: Information Technology Source Type: research

Identifying Prescription Patterns with a Topic Model of Diseases and Medications
Publication date: Available online 27 September 2017 Source:Journal of Biomedical Informatics Author(s): Sungrae Park, Doosup Choi, Minki Kim, Wonchul Cha, Chuhyun Kim, Il-Chul Moon Wide variance exists among individuals and institutions for treating patients with medicine. This paper analyzes prescription patterns using a topic model with more than four million prescriptions. Specifically, we propose the disease-medicine pattern model (DMPM) to extract patterns from a large collection of insurance data by considering disease codes joined with prescribed medicines. We analyzed insurance prescription data from 2011 with DM...
Source: Journal of Biomedical Informatics - September 28, 2017 Category: Information Technology Source Type: research

Prediction of therapeutic peptides by incorporating q-Wiener index into Chou ’s general PseAAC
Publication date: Available online 27 September 2017 Source:Journal of Biomedical Informatics Author(s): Chunrui Xu, Li Ge, Yusen Zhang, Matthias Dehmer, Ivan Gutman As therapeutic peptides have been taken into consideration in disease therapy in recent years, many biologists spent time and labor to verify various functional peptides from a large number of peptide sequences. In order to reduce the workload and increase the efficiency of identification of functional proteins, we propose a sequence-based model, q-FP (functional peptide prediction based on the q-Wiener Index), capable of recognizing potentially functional pr...
Source: Journal of Biomedical Informatics - September 28, 2017 Category: Information Technology Source Type: research

Simplifying the Use of Pharmacogenomics in Clinical Practice: Building the Genomic Prescribing System
Conclusions Successful deployment of GPS by combining complex data and recognizable iconography led to a tool that enabled point-of-care genomic delivery with high usability. Continued scalability and incorporation of additional clinical elements to be considered alongside PGx information could expand future impact. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - September 28, 2017 Category: Information Technology Source Type: research

Virtual Interactive Suturing for the Fundamentals of Laparoscopic Surgery (FLS)
Conclusions VBLaST-SS© is a computer-based interactive virtual simulation system for FLS intracorporeal knot-tying suturing task that can provide real-time objective assessment for the user’s performance. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - September 23, 2017 Category: Information Technology Source Type: research

Evaluating Performance of Early Warning Indices to Predict Physiological Instabilities
Publication date: Available online 20 September 2017 Source:Journal of Biomedical Informatics Author(s): Christopher G. Scully, Chathuri Daluwatte Patient monitoring algorithms that analyze multiple features from physiological signals can produce an index that serves as a predictive or prognostic measure for a specific critical health event or physiological instability. Classical detection metrics such as sensitivity and positive predictive value are often used to evaluate new patient monitoring indices for such purposes, but since these metrics do not take into account the continuous nature of monitoring, the assessment ...
Source: Journal of Biomedical Informatics - September 22, 2017 Category: Information Technology Source Type: research

Computer technologies to integrate medical treatments to manage multimorbidity
Publication date: Available online 21 September 2017 Source:Journal of Biomedical Informatics Author(s): David Riaño, Wilfrido Ortega The high prevalence of multimorbid cases is a challenge for Health-Care Systems today. Clinical practice guidelines are the means to register and transmit the available evidence-based medical knowledge concerning concrete diseases. Several computer languages have been defined to represent this knowledge in a way that computers could use to help physicians in the daily practice of medicine. The generation of guidelines for all possible multimorbidities entails several issues that are ...
Source: Journal of Biomedical Informatics - September 22, 2017 Category: Information Technology Source Type: research

Next Generation Terminology Infrastructure to Support Interprofessional Care Planning
Conclusions Defining and linking subsets of care planning concepts appears to be feasible, but also essential to model interprofessional care planning for common co-occurring conditions and chronic diseases. We recommend the creation of goal dynamics and decision concepts in SNOMED CT to further enable the necessary models. Systems with flexible terminology management infrastructure may enable intelligent decision support to identify conflicting and aligned concerns, goals, decisions, and interventions in shared care plans, ultimately decreasing documentation effort and cognitive burden for clinicians and patients. Graphic...
Source: Journal of Biomedical Informatics - September 20, 2017 Category: Information Technology Source Type: research

Identification of susceptible genes for complex chronic diseases based on disease risk functional SNPs and interaction networks
Publication date: Available online 18 September 2017 Source:Journal of Biomedical Informatics Author(s): Wan Li, Lina Zhu, Hao Huang, Yuehan He, Junjie Lv, Weimin Li, Lina Chen, Weiming He Complex chronic diseases are caused by the effects of genetic and environmental factors. Single nucleotide polymorphisms (SNPs), one common type of genetic variations, played vital roles in diseases. We hypothesized that disease risk functional SNPs in coding regions and protein interaction network modules were more likely to contribute to the identification of disease susceptible genes for complex chronic diseases. This could help to f...
Source: Journal of Biomedical Informatics - September 19, 2017 Category: Information Technology Source Type: research

Development of Fine-grained Pill Identification Algorithm using Deep Convolutional Network
Conclusion The superior performance of DCN underscores the potential of Deep Learning model in the application of pill identification and verification. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - September 15, 2017 Category: Information Technology Source Type: research

Selecting Relevant Features from the Electronic Health Record for Clinical Code Prediction
Publication date: Available online 14 September 2017 Source:Journal of Biomedical Informatics Author(s): Elyne Scheurwegs, Boris Cule, Kim Luyckx, Léon Luyten, Walter Daelemans A multitude of information sources is present in the electronic health record (EHR), each of which can contain clues to automatically assign diagnosis and procedure codes. These sources however show information overlap and quality differences, which complicates the retrieval of these clues. Through feature selection, a denser representation with a consistent quality and less information overlap can be obtained. We introduce and compare cover...
Source: Journal of Biomedical Informatics - September 14, 2017 Category: Information Technology Source Type: research

Combining Multivariate Statistics and the Think-Aloud Protocol to Assess Human-Computer Interaction Barriers in Symptom Checkers
Publication date: Available online 9 September 2017 Source:Journal of Biomedical Informatics Author(s): Luis Marco-Ruiz, Erlend Bønes, Estela de la Asunción, Elia Gabarrón, Juan Carlos Aviles-Solis, Eunji Lee, Vicente Traver, Keiichi Sato, Johan G. Bellika Symptom checkers are software tools that allow users to submit a set of symptoms and receive advice related to them in the form of a diagnosis list, health information or triage. The heterogeneity of their potential users and the number of different components in their user interfaces can make testing with end-users unaffordable. We designed and exe...
Source: Journal of Biomedical Informatics - September 11, 2017 Category: Information Technology Source Type: research

Reconciling Disparate Information in Continuity of Care Documents: Piloting a System to Consolidate Structured Clinical Documents
Conclusion This study represents a novel, tested tool for de-duplication and consolidation of CDA documents, which is a major step toward improving information access and the interoperability among information systems. While more work is necessary, automated systems like the one evaluated in this study will be necessary to meet the informatics needs of providers and health systems in the future. Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - September 11, 2017 Category: Information Technology Source Type: research