Construct validity of six sentiment analysis methods in the text of encounter notes of patients with critical illness
Publication date: Available online 14 December 2018Source: Journal of Biomedical InformaticsAuthor(s): Gary E. Weissman, Lyle H. Ungar, Michael O. Harhay, Katherine R. Courtright, Scott D. HalpernAbstractSentiment analysis may offer insights into patient outcomes through the subjective expressions made by clinicians in the text of encounter notes. We analyzed the predictive, concurrent, convergent, and content validity of six sentiment methods in a sample of 793,725 multidisciplinary clinical notes among 41,283 hospitalizations associated with an intensive care unit stay. None of these approaches improved early prediction ...
Source: Journal of Biomedical Informatics - December 15, 2018 Category: Information Technology Source Type: research

Cover 1/Spine
Publication date: December 2018Source: Journal of Biomedical Informatics, Volume 88Author(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - December 14, 2018 Category: Information Technology Source Type: research

Cover 2: Editorial Board
Publication date: December 2018Source: Journal of Biomedical Informatics, Volume 88Author(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - December 14, 2018 Category: Information Technology Source Type: research

fmi-ii: Table of Contents
Publication date: December 2018Source: Journal of Biomedical Informatics, Volume 88Author(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - December 14, 2018 Category: Information Technology Source Type: research

Integrated Bioinformatics Analysis for Identificating the Therapeutic Targets of Aspirin in Small Cell Lung Cancer
ConclusionThe integrated bioinformatical analysis could improve our understanding of the underlying molecular mechanism about how aspirin working in SCLC. Integrated bioinformatical analysis may be considered as a new paradigm for guiding future studies about interaction in drugs and diseases.Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - December 13, 2018 Category: Information Technology Source Type: research

Disentangling the evolution of MEDLINE bibliographic database: A complex network perspective
This study clearly shows that the evolution of MEDLINE knowledge correlates with the network’s structural and temporal characteristics.Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - December 7, 2018 Category: Information Technology Source Type: research

An Interactive and Low-Cost Full Body Rehabilitation Framework Based on 3D Immersive Serious Games
Publication date: Available online 3 December 2018Source: Journal of Biomedical InformaticsAuthor(s): Danilo Avola, Luigi Cinque, Gian Luca Foresti, Marco Raoul MariniAbstractStrokes, surgeries, or degenerative diseases can impair motor abilities and balance. Long-term rehabilitation is often the only way to recover, as completely as possible, these lost skills. To be effective, this type of rehabilitation should follow three main rules. First, rehabilitation exercises should be able to keep patient's motivation high. Second, each exercise should be customizable depending on patient's needs. Third, patient's performance sh...
Source: Journal of Biomedical Informatics - December 4, 2018 Category: Information Technology Source Type: research

Neuroevolution as a Tool for Microarray Gene Expression Pattern Identification in Cancer Research
Publication date: Available online 3 December 2018Source: Journal of Biomedical InformaticsAuthor(s): Bruno Iochins Grisci, Bruno César Feltes, Marcio DornAbstractMicroarrays are still one of the major techniques employed to study cancer biology. However, the identification of expression patterns from microarray datasets is still a significant challenge to overcome. In this work, a new approach using Neuroevolution, a machine learning field that combines neural networks and evolutionary computation, provides aid in this challenge by simultaneously classifying microarray data and selecting the subset of more relevant...
Source: Journal of Biomedical Informatics - December 4, 2018 Category: Information Technology Source Type: research

Micro ad-hoc health social networks (uhsn). Design and evaluation of a social-based solution for patient support
We describe the proposed methods for evaluating the uHSN quantitatively and qualitatively, and how the scientific community can replicate and/or integrate this contribution in its research.ResultsThe uHSN overcomes the main limitations of traditional HSNs in the main areas recommended in the literature: privacy, security, transparency, system ecology, Quality of Service (QoS), and technology enhancement. The qualitative and quantitative research demonstrated its viability and replicability in four key points: user acceptance, productivity improvement, QoS enhancement, and fostering of social relations. It also meets the ex...
Source: Journal of Biomedical Informatics - November 30, 2018 Category: Information Technology Source Type: research

Automatic Identification of Recent High Impact Clinical Articles in PubMed to Support Clinical Decision Making Using Time-agnostic Features
ConclusionHI-TA had equivalent performance to state-of-the-art approaches that depend on time-sensitive features. With the advantage of relying only on time-agnostic features, the proposed approach can be used as an adjunct to help clinicians identify recent high impact clinical studies to support clinical decision-making. However, low recall limits the use of HI-TA for literature surveillance.Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 23, 2018 Category: Information Technology Source Type: research

A Combined Modelling of Fuzzy Logic and Time-Driven Activity-based Costing (TDABC) for Hospital Services Costing under Uncertainty
In this study, the fuzzy logic in the TDABC model is used to resolve the inherent ambiguity and uncertainty and determine the best possible values for cost, capacity, and time parameters to provide accurate information on the costs of the healthcare services. This approach has not yet been tested and used in determining the costs of services of a healthcare setting. Therefore, the aim of this study is to present a new Fuzzy Logic-TDABC (FL-TDABC) model for estimating healthcare service costs based on uncertainty conditions in hospitals. The proposed model is implemented in a sample of the hospital laboratory section and th...
Source: Journal of Biomedical Informatics - November 23, 2018 Category: Information Technology Source Type: research

50th Anniversary Retrospective: Computers and Biomedical Research and Journal of Biomedical Informatics
Publication date: Available online 16 November 2018Source: Journal of Biomedical InformaticsAuthor(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 16, 2018 Category: Information Technology Source Type: research

Cover 1/Spine
Publication date: November 2018Source: Journal of Biomedical Informatics, Volume 87Author(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 14, 2018 Category: Information Technology Source Type: research

Cover 2: Editorial Board
Publication date: November 2018Source: Journal of Biomedical Informatics, Volume 87Author(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 14, 2018 Category: Information Technology Source Type: research

fmi-ii: Table of Contents
Publication date: November 2018Source: Journal of Biomedical Informatics, Volume 87Author(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 14, 2018 Category: Information Technology Source Type: research

Manifold regularized matrix factorization for drug-drug interaction prediction
Publication date: Available online 13 November 2018Source: Journal of Biomedical InformaticsAuthor(s): Wen Zhang, Yanlin Chen, Dingfang Li, Xiang YueAbstractDrug-drug interaction (DDI) prediction is one of the most important tasks in drug discovery. Prediction of potential DDIs helps to reduce unexpected side effects in the lifecycle of drugs, and is important for the drug safety surveillance. Here, we formulate the drug-drug interaction prediction as a matrix completion task, and project drugs in the interaction space into a low-dimensional space. We consider drug features, i.e., substructures, targets, enzymes, transport...
Source: Journal of Biomedical Informatics - November 14, 2018 Category: Information Technology Source Type: research

CIBS: A biomedical text summarizer using topic-based sentence clustering
Publication date: Available online 13 November 2018Source: Journal of Biomedical InformaticsAuthor(s): Milad MoradiAbstractAutomatic text summarizers can reduce the time required to read lengthy text documents by extracting the most important parts. Multi-document summarizers should produce a summary that covers the main topics of multiple related input texts to diminish the extent of redundant information. In this paper, we propose a novel summarization method named Clustering and Itemset mining based Biomedical Summarizer (CIBS). The summarizer extracts biomedical concepts from the input documents and employs an itemset ...
Source: Journal of Biomedical Informatics - November 14, 2018 Category: Information Technology Source Type: research

An unsupervised and customizable misspelling generator for mining noisy health-related text sources
ConclusionThe performance and relative simplicity of our proposed approach make it a much-needed spelling variant generation resource for health-related text mining from noisy sources. The source code for the system has been made publicly available for research.Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 14, 2018 Category: Information Technology Source Type: research

A Framework for Data-Driven Adaptive GUI Generation Based on DICOM
Publication date: Available online 9 November 2018Source: Journal of Biomedical InformaticsAuthor(s): Orazio Gambino, Leonardo Rundo, Vincenzo Cannella, Salvatore Vitabile, Roberto PirroneAbstractComputer applications for diagnostic medical imaging provide generally a wide range of tools to support physicians in their daily diagnosis activities. Unfortunately, some functionalities are specialized for specific diseases or imaging modalities, while other ones are useless for the images under investigation. Nevertheless, the corresponding Graphical User Interface (GUI) widgets are still present on the screen reducing the imag...
Source: Journal of Biomedical Informatics - November 11, 2018 Category: Information Technology Source Type: research

Lifetime trajectory simulation of chronic disease progression and comorbidity development
This study aims to gain insights of comorbidity development by simulating the lifetime trajectory of disease progression from single chronic disease to comorbidity.MethodsEight health states spanning from no chronic condition to comorbidity are considered in this study. Disease progression network is constructed based on the seven-year retrospective data of around 700,000 residents living in Singapore central region. Microsimulation is applied to simulate the process of aging and disease progression of a synthetic new-born cohort for the entire lifetime.ResultsAmong the 40 unique trajectories observed from the simulation, ...
Source: Journal of Biomedical Informatics - November 8, 2018 Category: Information Technology Source Type: research

A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring
Publication date: Available online 7 November 2018Source: Journal of Biomedical InformaticsAuthor(s): Matin Kheirkhahan, Sanjay Nair, Anis Davoudi, Parisa Rashidi, Amal A. Wanigatunga, Duane B. Corbett, Tonatiuh Mendoza, Todd M. Manini, Sanjay RankaAbstractSmartphone and smartwatch technology is changing the transmission and monitoring landscape for patients and research participants to communicate their healthcare information in real time. Flexible, bidirectional and real-time control of communication allows development of a rich set of healthcare applications that can provide interactivity with the participant and adapt ...
Source: Journal of Biomedical Informatics - November 8, 2018 Category: Information Technology Source Type: research

A Method for Harmonization of Clinical Abbreviation and Acronym Sense Inventories
ConclusionsGiven the high coverage, harmonizing acronym sense inventories is a promising methodology to improve their comprehensiveness. Our method is automated, leverages the extensive resources already devoted to developing institution-specific inventories in the United States, and may help generalize sense inventories to institutions who lack the resources to develop them. Future work should address quality issues in source inventories and explore additional approaches to establishing synonymy.Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 8, 2018 Category: Information Technology Source Type: research

Integrated Bioinformatical Analysis for Identificating the Therapeutic Targets of Aspirin in Small Cell Lung Cancer
ConclusionThe integrated bioinformatical analysis could improve our understanding of the underlying molecular mechanism about how aspirin working in SCLC. Integrated bioinformatical analysis may be considered as a new paradigm for guiding future studies about interaction in drugs and diseases.Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - November 8, 2018 Category: Information Technology Source Type: research

CBN: Constructing a Clinical Bayesian Network based on Data from the Electronic Medical Record
Publication date: Available online 3 November 2018Source: Journal of Biomedical InformaticsAuthor(s): Ying Shen, Lizhu Zhang, Jin Zhang, Min Yang, Buzhou Tang, Yaliang Li, Kai LeiAbstractThe process of learning candidate causal relationships involving diseases and symptoms from electronic medical records (EMRs) is the first step towards learning models that perform diagnostic inference directly from real healthcare data. However, the existing diagnostic inference systems rely on knowledge bases such as ontology that are manually compiled through a labour-intensive process or automatically derived using simple pairwise stat...
Source: Journal of Biomedical Informatics - November 4, 2018 Category: Information Technology Source Type: research

Toward analyzing and synthesizing previous research in early prediction of cardiac arrest using machine learning based on a multi-layered integrative framework
ConclusionAccording to the results, machine learning techniques can improve the outcome of cardiac arrest prediction. However, future research should be carried out to evaluate the efficiency of rarely-used algorithms and to address the challenges of external validation, implementation and adoption of machine learning models in real clinical environments.Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 30, 2018 Category: Information Technology Source Type: research

Using Clinical Natural Language Processing for Health Outcomes Research: Overview and Actionable Suggestions for Future Advances
Publication date: Available online 24 October 2018Source: Journal of Biomedical InformaticsAuthor(s): Sumithra Velupillai, Hanna Suominen, Maria Liakata, Angus Roberts, Anoop D. Shah, Katherine Morley, David Osborn, Joseph Hayes, Robert Stewart, Johnny Downs, Wendy Chapman, Rina DuttaAbstractThe importance of incorporating Natural Language Processing(NLP) methods in clinical informatics research has been increasingly recognized over the past years, and has led to transformative advances.Typically, clinical NLP systems are developed and evaluated on word, sentence, or document level annotations that model specific attribute...
Source: Journal of Biomedical Informatics - October 25, 2018 Category: Information Technology Source Type: research

The Internet of Things (IoT): Informatics Methods for IoT-enabled Health Care
Publication date: Available online 17 October 2018Source: Journal of Biomedical InformaticsAuthor(s): Po Yang, Lida Xu (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 18, 2018 Category: Information Technology Source Type: research

An evaluation method of risk grades for prostate cancer using similarity measure of cubic hesitant fuzzy sets
Publication date: Available online 16 October 2018Source: Journal of Biomedical InformaticsAuthor(s): Jing Fu, Jun Ye, Wenhua CuiAbstractProstate cancer (PC) is more common cancer in older men. Then, the existing evaluation method of PC risk grades is based on the AJCC (American Joint Committee on Cancer) staging/scoring system. It utilizes the comprehensive risk data of the prostate-specific antigen (PSA) test, Gleason score, and T2 staging score as the evaluation criteria of PC patients. However, these risk data of PC patients not only may belong to different risk grades simultaneously to result in the unreasonable and u...
Source: Journal of Biomedical Informatics - October 17, 2018 Category: Information Technology Source Type: research

Causal Discovery from Sequential Data in ALS Disease based on Entropy Criteria
Publication date: Available online 16 October 2018Source: Journal of Biomedical InformaticsAuthor(s): M. Ahangaran, M.R. Jahed-Motlagh, B. Minaei-BidgoliAbstractOne of the most important issues in predictive modeling is to determine major cause factors of a phenomenon and causal relationships between them. Extracting causal relationships between parameters in a natural phenomenon can be accomplished through checking the parameters’ changes in consecutive events. In addition, using information and probabilistic theory help better conception of causal relationships of a phenomenon. Therefore, probabilistic causal disco...
Source: Journal of Biomedical Informatics - October 17, 2018 Category: Information Technology Source Type: research

Using neural attention networks to detect adverse medical events from electronic health records
In this study, we are concerned with the problem of AME detection by utilizing a large volume of unstructured EHR data. To address this challenge, we propose a neural attention network-based model to incorporate the contextual information of words into AME detection. Specifically, we develop a context-aware attention mechanism to locate salient words with respect to the target AMEs in patient medical records. And then we combine the proposed context attention mechanism with the deep learning tactic to boost the performance of AME detection. We validate our proposed model on a real clinical dataset that consists of 8845 med...
Source: Journal of Biomedical Informatics - October 15, 2018 Category: Information Technology Source Type: research

relSCAN – A system for extracting chemical-induced disease relation from biomedical literature
We describe the case of chemical and disease mentions that occur in the same sentence as ‘Co-occurrence’, or as ‘Non-Co-occurrence’ otherwise. In the first phase, the relation instances are constructed on both mention levels. In the second phase, we employ a hybrid feature set to classify the relation instances at both of these mention levels using the combination of two Machine Learning (ML) classifiers (Support Vector Machine (SVM) and J48 Decision tree). This system is entirely corpus dependent and does not rely on information from external resources in order to boost its performance. We achieved...
Source: Journal of Biomedical Informatics - October 12, 2018 Category: Information Technology Source Type: research

Association Networks in a Matched Case-Control Design – Co-occurrence Patterns of Preexisting Chronic Medical Conditions in Patients with Major Depression versus their Matched Controls
ConclusionAssociation networks in a matched case-control design can provide a high-level comparison of comorbid features after adjusting for confounding factors, thereby supplementing traditional clinical study approaches. We demonstrate the differential co-occurrence pattern of chronic medical conditions in patients with MDD and prioritize the chronic conditions that have statistically significant interactions in regression models for depression.Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 7, 2018 Category: Information Technology Source Type: research

relSCAN - a system for extracting chemical-induced disease relation from biomedical literature
We describe the case of chemical and disease mentions that occur in the same sentence as ‘Co-occurrence’, or as ‘Non-Co-occurrence’ otherwise. In the first phase, the relation instances are constructed on both mention levels. In the second phase, we employ a hybrid feature set to classify the relation instances at both of these mention levels using the combination of two Machine Learning (ML) classifiers (Support Vector Machine (SVM) and J48 Decision tree). This system is entirely corpus dependent and does not rely on information from external resources in order to boost its performance. We achieved...
Source: Journal of Biomedical Informatics - October 6, 2018 Category: Information Technology Source Type: research

Cover 1/Spine
Publication date: October 2018Source: Journal of Biomedical Informatics, Volume 86Author(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 5, 2018 Category: Information Technology Source Type: research

Cover 2: Editorial Board
Publication date: October 2018Source: Journal of Biomedical Informatics, Volume 86Author(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 5, 2018 Category: Information Technology Source Type: research

fmi-ii: Table of Contents
Publication date: October 2018Source: Journal of Biomedical Informatics, Volume 86Author(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 5, 2018 Category: Information Technology Source Type: research

Utilizing Soft Constraints to Enhance Medical Relation Extraction from the History of Present Illness in Electronic Medical Records
Publication date: Available online 4 October 2018Source: Journal of Biomedical InformaticsAuthor(s): Li Chen, Yuanju Li, Weipeng Chen, Xinglong Liu, Zhonghua Yu, Siyuan ZhangAbstractRelation extraction between medical concepts from electronic medical records has pervasive applications as well as significance. However, previous researches utilizing machine learning algorithms judge the semantic types of medical concept pair mentions independently. In fact, different concept pair mentions in the same context are of dependencies which can provide beneficial evidences for identifying their relation types. To the best of our kn...
Source: Journal of Biomedical Informatics - October 5, 2018 Category: Information Technology Source Type: research

Social Media Mining for Birth Defects Research: A Rule-Based, Bootstrapping Approach to Collecting Data for Rare Health-Related Events on Twitter
ConclusionsOur contributions include (i) evidence that rare health-related events are indeed reported on Twitter, (ii) a generalizable, systematic NLP approach for collecting sparse tweets, (iii) a semi-automatic method to identify undetected tweets (false negatives), and (iv) a collection of publicly available tweets by pregnant users with birth defect outcomes, which could be used for future epidemiological analysis. In future work, the annotated tweets could be used to train machine learning algorithms to automatically identify users reporting birth defect outcomes, enabling the large-scale use of social media mining as...
Source: Journal of Biomedical Informatics - October 5, 2018 Category: Information Technology Source Type: research

Examining Sensor-based Physical Activity Recognition and Monitoring for Healthcare Using Internet of Things: A Systematic Review
Publication date: Available online 26 September 2018Source: Journal of Biomedical InformaticsAuthor(s): Jun Qi, Po Yang, Atif Waraich, Zhikun Deng, Youbing Zhao, Yun YangAbstractDue to importantly beneficial effects on physical and mental health and strong association with many rehabilitation programs, Physical Activity Recognition and Monitoring (PARM) have been considered as a key paradigm for smart healthcare. Traditional methods for PARM focus on controlled environments with the aim of increasing the types of identifiable activity subjects complete and improving recognition accuracy and system robustness by means of no...
Source: Journal of Biomedical Informatics - October 5, 2018 Category: Information Technology Source Type: research

A Novel Depth Estimation Algorithm of Chest Compression for Feedback of High-Quality Cardiopulmonary Resuscitation Based on a Smartwatch
ConclusionOur study indicates that the algorithm developed for estimating CCD based on a smartwatch with a built-in accelerometer is promising. Further studies will be conducted to evaluate its application for CPR training and clinical practice.Graphical abstract (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 5, 2018 Category: Information Technology Source Type: research

PISTON: Predicting drug indications and side effects using topic modeling and natural language processing
In this study, we propose an algorithm for predicting novel drug-phenotype associations and drug-side effect associations using topic modeling and natural language processing (NLP). We extract sentences in which drugs and genes co-occur from the abstracts of the literature and identify words that describe the relationship between them using NLP. Considering the characteristics of the identified words, we determine if the drug has an up-regulation effect or a down-regulation effect on the gene. Based on genes that affect drugs and their regulatory relationships, we group the frequently occurring genes and regulatory relatio...
Source: Journal of Biomedical Informatics - October 5, 2018 Category: Information Technology Source Type: research

Call for Papers: Deep Phenotyping for Precision Medicine
Publication date: Available online 29 September 2018Source: Journal of Biomedical InformaticsAuthor(s): Chunhua Weng, Nigam Shah, George Hripcsak (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - October 5, 2018 Category: Information Technology Source Type: research

Predicting of anaphylaxis in big data EMR by exploring machine learning approaches
Publication date: November 2018Source: Journal of Biomedical Informatics, Volume 87Author(s): Isabel Segura-Bedmar, Cristobal Colón-Ruíz, Miguél Ángel Tejedor-Alonso, Mar Moro-MoroAbstractAnaphylaxis is a life-threatening allergic reaction that occurs suddenly after contact with an allergen. Epidemiological studies about anaphylaxis are very important in planning and evaluating new strategies that prevent this reaction, but also in providing a guide to the treatment of patients who have just suffered an anaphylactic reaction. Electronic Medical Records (EMR) are one of the most effective and ric...
Source: Journal of Biomedical Informatics - October 5, 2018 Category: Information Technology Source Type: research

Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power
Publication date: Available online 20 September 2018Source: Journal of Biomedical InformaticsAuthor(s): Alex Graudenzi, Davide Maspero, Marzia Di Filippo, Marco Gnugnolo, Claudio Isella, Giancarlo Mauri, Enzo Medico, Marco Antoniotti, Chiara DamaniAbstractEffective stratification of cancer patients on the basis of their molecular make-up is a key open challenge. Given the altered and heterogenous nature of cancer metabolism, we here propose to use the overall expression of central carbon metabolism as biomarker to characterize groups of patients with important characteristics, such as response to ad-hoc therapeutic strateg...
Source: Journal of Biomedical Informatics - September 21, 2018 Category: Information Technology Source Type: research

Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services
Publication date: Available online 18 September 2018Source: Journal of Biomedical InformaticsAuthor(s): Zhan Zhang, Ze Hu, Haiqin Yang, Rong Zhu, Decheng ZuoAbstractIn online health expert question-answering (HQA) services, it is significant to automatically determine the quality of the answers. There are two prominent challenges in this task. First, the answers are usually written in short text, which makes it difficult to absorb the text semantic information. Second, it usually lacks sufficient labeled data but contains a huge amount of unlabeled data. To tackle these challenges, we propose a novel deep co-training frame...
Source: Journal of Biomedical Informatics - September 19, 2018 Category: Information Technology Source Type: research

Predicting the risk of acute care readmissions among rehabilitation inpatients: A machine learning approach
This study aims to develop a predictive model based on machine learning algorithms to identify patients at high risk of readmission.MethodsA retrospective dataset (2001–2017) including 16,902 patients admitted into a large inpatient rehabilitation facility in North Carolina was collected in 2017. Three types of machine learning models with different predictors were compared in 2018. The model with the highest c-statistic was selected as the best model and further tested by using five sets of training and validation data with different split time. The optimum threshold for classification was identified.ResultsThe logi...
Source: Journal of Biomedical Informatics - September 18, 2018 Category: Information Technology Source Type: research

A Comparison of Word Embeddings for the Biomedical Natural Language Processing
Conclusion Based on the evaluation results, we can draw the following conclusions. First, the word embeddings trained on EHR and MedLit can capture the semantics of medical terms better and find semantically relevant medical terms closer to human experts’ judgments than those trained on GloVe and Google News. Second, there does not exist a consistent global ranking of word embeddings for all downstream biomedical NLP applications. However, adding word embeddings as extra features will improve results on most downstream tasks. Finally, the word embeddings trained on biomedical domain corpora do not necessarily have be...
Source: Journal of Biomedical Informatics - September 12, 2018 Category: Information Technology Source Type: research

Corrigendum to “Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2” [J Biomed Inform. 2017 Nov;75S:S62–S70]
Publication date: September 2018Source: Journal of Biomedical Informatics, Volume 85Author(s): Michele Filannino, Amber Stubbs, Özlem Uzuner (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - September 11, 2018 Category: Information Technology Source Type: research

Cover 1/Spine
Publication date: September 2018Source: Journal of Biomedical Informatics, Volume 85Author(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - September 11, 2018 Category: Information Technology Source Type: research

Cover 2: Editorial Board
Publication date: September 2018Source: Journal of Biomedical Informatics, Volume 85Author(s): (Source: Journal of Biomedical Informatics)
Source: Journal of Biomedical Informatics - September 11, 2018 Category: Information Technology Source Type: research