Breast Ultrasound Region of Interest Detection and Lesion Localisation
Publication date: Available online 29 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Moi Hoon Yap, Manu Goyal, Fatima Osman, Robert Martí, Erika Denton, Arne Juette, Reyer Zwiggelaar (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 31, 2020 Category: Bioinformatics Source Type: research

Data Reduction and Data Visualization for Automatic Diagnosis using Gene Expression and Clinical Data
Publication date: Available online 28 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Pierangela Bruno, Francesco Calimeri, Alexandre Sébastien Kitanidis, Elena De Momi (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 29, 2020 Category: Bioinformatics Source Type: research

How to Identify and Treat Data Inconsistencies When Eliciting Health-State Utility Values for Patient-Centered Decision Making
Publication date: Available online 26 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Evangelos Triantaphyllou, Juri Yanase (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 27, 2020 Category: Bioinformatics Source Type: research

FDSR: A new fuzzy discriminative sparse representation method for medical image classification
Publication date: Available online 25 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Majid Ghasemi, Manoochehr Kelarestaghi, Farshad Eshghi, Arash Sharifi (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 26, 2020 Category: Bioinformatics Source Type: research

Missing data imputation and synthetic data simulation through Modeling Graphical Probabilistic Dependencies between Variables (ModGraProDep): an application to breast cancer survival
Publication date: Available online 24 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Mireia Vilardell, Maria Buxó, Ramon Clèries, José Miguel Martínez, Gemma Garcia, Alberto Ameijide, Rebeca Font, Sergi Civit, BreCanSurvCat working group (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 24, 2020 Category: Bioinformatics Source Type: research

Pulmonary Nodule Detection on Chest Radiographs Using Balanced Convolutional Neural Network and Classic Candidate Detection
Publication date: Available online 22 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Sheng Chen, Yaqi Han, Jinqiu Lin, Xiangyu Zhao, Ping Kong (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 24, 2020 Category: Bioinformatics Source Type: research

Graph Fourier Transform of fMRI temporal signals based on an averaged structural connectome for the classification of neuroimaging
Publication date: Available online 21 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Abdelbasset Brahim, Nicolas Farrugia (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 23, 2020 Category: Bioinformatics Source Type: research

A Novel Method for Predicting the Progression Rate of ALS Disease Based on Automatic Generation of Probabilistic Causal Chains
Publication date: Available online 22 May 2020Source: Artificial Intelligence in MedicineAuthor(s): M. Ahangaran, M.R. Jahed-Motlagh, B. Minaei-Bidgoli (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 23, 2020 Category: Bioinformatics Source Type: research

CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settings
Publication date: Available online 20 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Manohar Karki, Junghwan Cho, Eunmi Lee, Myong-Hun Hahm, Sang-Youl Yoon, Myungsoo Kim, Jae-Yun Ahn, Jeongwoo Son, Shin-Hyung Park, Ki-Hong Kim, Sinyoul Park (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 21, 2020 Category: Bioinformatics Source Type: research

Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks
Publication date: Available online 18 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 20, 2020 Category: Bioinformatics Source Type: research

Upper-limb Functional Assessment After Stroke Using Mirror Contraction: A Pilot Study
Publication date: Available online 19 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Yu Zhou, Jia Zeng, Hongze Jiang, Yang Li, Jie Jia, Honghai Liu (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 20, 2020 Category: Bioinformatics Source Type: research

A Trusted Medical Image Super-Resolution Method based on Feedback Adaptive Weighted Dense Network
Publication date: Available online 16 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Lihui Chen, Xiaomin Yang, Gwanggil Jeon, Marco Anisetti, Kai Liu (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 17, 2020 Category: Bioinformatics Source Type: research

Deep learning in generating radiology reports: A survey
Publication date: Available online 15 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Maram Mahmoud A. Monshi, Josiah Poon, Vera Chung (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 16, 2020 Category: Bioinformatics Source Type: research

Speckle Reduction of OCT via Super Resolution Reconstruction and Its Application on Retinal Layer Segmentation
Publication date: Available online 15 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Qifeng Yan, Bang Chen, Yan Hu, Jun Cheng, Yan Gong, Jianlong Yang, Jiang Liu, Yitian Zhao (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 16, 2020 Category: Bioinformatics Source Type: research

A Framework to Shift Basins of Attraction of Gene Regulatory Networks through Batch Reinforcement Learning
Publication date: Available online 16 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Cyntia Eico Hayama Nishida, Reinaldo A.C. Bianchi, Anna Helena Reali Costa (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 16, 2020 Category: Bioinformatics Source Type: research

Automatic segmentation of knee menisci – A systematic review
Publication date: May 2020Source: Artificial Intelligence in Medicine, Volume 105Author(s): Muhammed Masudur Rahman, Lutz Dürselen, Andreas Martin Seitz (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 12, 2020 Category: Bioinformatics Source Type: research

Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks
Publication date: Available online 12 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Qinmu Peng, Minhui Ouyang, Jiaojian Wang, Qinlin Yu, Chenying Zhao, Michelle Slinger, Hongming Li, Yong Fan, Bo Hong, Hao Huang (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 12, 2020 Category: Bioinformatics Source Type: research

On the use of Pairwise Distance Learning for Brain Signal Classification with Limited Observations
Publication date: Available online 11 May 2020Source: Artificial Intelligence in MedicineAuthor(s): David Calhas, Enrique Romero, Rui Henriques (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 11, 2020 Category: Bioinformatics Source Type: research

ECG-based Multi-Class Arrhythmia Detection Using Spatio-Temporal Attention-based Convolutional Recurrent Neural Network
Publication date: Available online 11 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Jing Zhang, Xun Chen, Aiping Liu, Xiang Chen, Xu Zhang, Min Gao (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 11, 2020 Category: Bioinformatics Source Type: research

Fuzzy inference model based on triaxial signals for pronation and supination assessment in Parkinson’s disease patients
Publication date: Available online 6 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Alejandro Garza-Rodríguez, Luis Pastor Sánchez-Fernández, Luis Alejandro Sánchez-Pérez, José Juan Carbajal Hernández (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 7, 2020 Category: Bioinformatics Source Type: research

Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach
Publication date: Available online 6 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Michele Bernardini, Micaela Morettini, Luca Romeo, Emanuele Frontoni, Laura Burattini (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 7, 2020 Category: Bioinformatics Source Type: research

Automatic Segmentation of Knee Menisci - A Systematic Review
Publication date: Available online 6 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Muhammed Masudur Rahman, Lutz Dürselen, Andreas Martin Seitz (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 7, 2020 Category: Bioinformatics Source Type: research

A review on segmentation of knee articular cartilage: from conventional methods towards deep learning
Publication date: Available online 6 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Somayeh Ebrahimkhani, Mohamed Hisham Jaward, Flavia M. Cicuttini, Anuja Dharmaratne, Yuanyuan Wang, Alba G. Seco de Herrera (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 7, 2020 Category: Bioinformatics Source Type: research

Reconstructing the Patient’s Natural History from Electronic Health Records
Publication date: Available online 3 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Marjan Najafabadipour, Massimiliano Zanin, Alejandro Rodríguez-González, Maria Torrente, Beatriz Nuñez García, Juan Luis Cruz Bermudez, Mariano Provencio, Ernestina Menasalvas (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 4, 2020 Category: Bioinformatics Source Type: research

Mining incomplete clinical data for the early assessment of Kawasaki disease based on feature clustering and convolutional neural networks
Publication date: Available online 3 May 2020Source: Artificial Intelligence in MedicineAuthor(s): Haolin Wang, Xuhai Tan, Zhilin Huang, Bo Pan, Jie Tian (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - May 4, 2020 Category: Bioinformatics Source Type: research

Vessel Structure Extraction using Constrained Minimal Path Propagation
Publication date: Available online 25 April 2020Source: Artificial Intelligence in MedicineAuthor(s): Guanyu Yang, Tianling Lv, Yunpeng Shen, Shuo Li, Jian Yang, Yang Chen, Huazhong Shu, Limin Luo, Jean-Louis Coatrieux (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - April 26, 2020 Category: Bioinformatics Source Type: research

Breast cancer diagnosis from histopathological images using textural features and CBIR
Publication date: May 2020Source: Artificial Intelligence in Medicine, Volume 105Author(s): Edson D. Carvalho, Antônio O.C. Filho, Romuere R.V. Silva, Flávio H.D. Araújo, João O.B. Diniz, Aristófanes C. Silva, Anselmo C. Paiva, Marcelo Gattass (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - April 23, 2020 Category: Bioinformatics Source Type: research

Deep neural network for semi-automatic classification of term and preterm uterine recordings
Publication date: Available online 19 April 2020Source: Artificial Intelligence in MedicineAuthor(s): Lili Chen, Huoyao Xu (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - April 19, 2020 Category: Bioinformatics Source Type: research

Mining post-surgical care processes in breast cancer patients
Publication date: Available online 15 April 2020Source: Artificial Intelligence in MedicineAuthor(s): Lorenzo Chiudinelli, Arianna Dagliati, Valentina Tibollo, Sara Albasini, Nophar Geifman, Niels Peek, John H. Holmes, Fabio Corsi, Riccardo Bellazzi, Lucia Sacchi (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - April 16, 2020 Category: Bioinformatics Source Type: research

Personalized Risk Prediction for Breast Cancer Pre-screening using Artificial Intelligence and Thermal Radiomics
Publication date: Available online 7 April 2020Source: Artificial Intelligence in MedicineAuthor(s): Siva Teja Kakileti, Himanshu J. Madhu, Geetha Manjunath, Leonard Wee, Andre Dekker, Sudhakar Sampangi (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - April 8, 2020 Category: Bioinformatics Source Type: research

Fuzzy support vector machine-based personalizing method to address the inter-subject variance problem of physiological signals in a driver monitoring system
Publication date: Available online 21 March 2020Source: Artificial Intelligence in MedicineAuthor(s): Minho Choi, Minseok Seo, Jun Seong Lee, Sang Woo Kim (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - March 22, 2020 Category: Bioinformatics Source Type: research

Computerized decision support and machine learning applications for the prevention and treatment of childhood obesity: A systematic review of the literature
Publication date: April 2020Source: Artificial Intelligence in Medicine, Volume 104Author(s): Andreas Triantafyllidis, Eleftheria Polychronidou, Anastasios Alexiadis, Cleilton Lima Rocha, Douglas Nogueira Oliveira, Amanda S. da Silva, Ananda Lima Freire, Crislanio Macedo, Igor Farias Sousa, Eriko Werbet, Elena Arredondo Lillo, Henar González Luengo, Macarena Torrego Ellacuría, Konstantinos Votis, Dimitrios Tzovaras (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - March 20, 2020 Category: Bioinformatics Source Type: research

Modeling and Processing Up-To-Dateness of Patient Information in Probabilistic Therapy Decision Support
Publication date: Available online 9 March 2020Source: Artificial Intelligence in MedicineAuthor(s): Jan Gaebel, Hans-Georg Wu, Alexander Oeser, Mario A Cypko, Matthaeus Stoehr, Andreas Dietz, Thomas Neumuth, Stefan Franke, Steffen Oeltze-Jafra (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - March 10, 2020 Category: Bioinformatics Source Type: research

Explainable AI Meets Persuasiveness: Translating Reasoning Results Into Behavioral Change Advice
Publication date: Available online 5 March 2020Source: Artificial Intelligence in MedicineAuthor(s): Mauro Dragoni, Ivan Donadello, Claudio Eccher (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - March 6, 2020 Category: Bioinformatics Source Type: research

Editorial Board
Publication date: March 2020Source: Artificial Intelligence in Medicine, Volume 103Author(s): (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - March 3, 2020 Category: Bioinformatics Source Type: research

Characterizing the critical features when personalizing antihypertensive drugs using spectrum analysis and machine learning methods
Publication date: Available online 29 February 2020Source: Artificial Intelligence in MedicineAuthor(s): Liu Chunyu, Liu Ran, Zhou Junteng, Wang Miye, Xu Jing, Su Lan, Zuo Yixuan, Zhang Rui, Feng Yizhou, Wang Chen, Yan Hongmei, Zhang Qing (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - March 1, 2020 Category: Bioinformatics Source Type: research

Detecting Potential Signals of Adverse Drug Events from Prescription Data
Publication date: Available online 27 February 2020Source: Artificial Intelligence in MedicineAuthor(s): Chen Zhan, Elizabeth Roughead, Lin Liu, Nicole Pratt, Jiuyong Li (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - February 28, 2020 Category: Bioinformatics Source Type: research

Offline identification of surgical deviations in laparoscopic rectopexy
Publication date: Available online 27 February 2020Source: Artificial Intelligence in MedicineAuthor(s): Arnaud Huaulmé, Sandrine Voros, Fabian Reche, Jean-Luc Faucheron, Alexandre Moreau-Gaudry, Pierre Jannin (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - February 28, 2020 Category: Bioinformatics Source Type: research

A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson's disease
Publication date: Available online 28 February 2020Source: Artificial Intelligence in MedicineAuthor(s): Pritpal Singh (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - February 28, 2020 Category: Bioinformatics Source Type: research

A Novel Deep Mining Model for Effective Knowledge Discovery from Omics Data
Publication date: Available online 24 February 2020Source: Artificial Intelligence in MedicineAuthor(s): Abeer Alzubaidi, Jonathan Tepper, Ahmad lotfi (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - February 25, 2020 Category: Bioinformatics Source Type: research

Toward Development of PreVoid Alerting System for Nocturnal Enuresis Patients: A Fuzzy-Based Approach for Determining the Level of Liquid Encased in Urinary Bladder
This study aims to develop a machine-learning empowered technique to quantify to what extent an individual's bladder is filled by observing the filling-voiding pattern of a patient over a training period. In this experiment, a pulse-echo sonar element is used to generate ultrasound pulses while the probe surface is positioned perpendicular to the bladder's position. From the reflected echoes, four features which show sufficient sensitiveness and therefore could be modulated noticeably by different levels of liquid encased in the bladder, are extracted. The extracted features are then fed into a novel intelligent decision s...
Source: Artificial Intelligence in Medicine - February 23, 2020 Category: Bioinformatics Source Type: research

Automated Machine Learning: Review of the State-of-the-Art and Opportunities for Healthcare
ConclusionWhile there have already been some use cases of AutoML in the healthcare field, more work needs to be done in order for there to be widespread adoption of AutoML in healthcare. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - February 22, 2020 Category: Bioinformatics Source Type: research

Reinforcement Learning Application in Diabetes Blood Glucose Control: A Systematic Review
ConclusionsThe advances in health technologies and mobile devices have facilitated the implementation of RL algorithms for optimal glycemic regulation in diabetes. However, there exists few articles in the literature focused on the application of these algorithms to the BG regulation problem. Moreover, such algorithms are designed for control tasks as BG adjustment and their use have increased recently in the diabetes research area, therefore we foresee RL algorithms will be used more frequently for BG control in the coming years. Furthermore, in the literature there is a lack of focus on aspects that influence BG level su...
Source: Artificial Intelligence in Medicine - February 22, 2020 Category: Bioinformatics Source Type: research

Wearable sensor-based evaluation of psychosocial stress in patients with Metabolic Syndrome
This study presents a multivariate methodology for the modeling of stress on metabolic syndrome (MES) patients. We have developed a supporting system to cope with MES patients’ anxiety and stress by means of several biosignals such as ECG, GSR, body temperature, SPO2, glucose level, and blood pressure that are measured by a wearable device. We employed a neural network model to classify emotions with HRV analysis in the detection of stressor moments. We have accurately recognized the stressful situations using physiological responses to stimuli by utilizing our proposed affective state detection algorithm. We evaluat...
Source: Artificial Intelligence in Medicine - February 22, 2020 Category: Bioinformatics Source Type: research

Multimodal Data Analysis of Epileptic EEG and rs-fMRI via Deep Learning and Edge Computing
ConclusionsThe combination of rs-fMRI and EEG/iEEG can reveal more information about dynamic functional connectivity. However, simultaneous fMRI and EEG data acquisition present challenges. We have proposed system models for leveraging and processing independently acquired fMRI and EEG data. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - February 20, 2020 Category: Bioinformatics Source Type: research

Feature Selection based Multivariate Time Series Forecasting: An Application to Antibiotic Resistance Outbreaks Prediction
Publication date: Available online 19 February 2020Source: Artificial Intelligence in MedicineAuthor(s): Fernando Jiménez, José Palma, Gracia Sánchez, David Marín, Francisco Palacios, M.D, Lucía López, M.DAbstractAntimicrobial resistance has become one of the most important health problems and global action plans have been proposed globally. Prevention plays a key role in these actions plan and, in this context, we propose the use of Artificial Intelligence, specifically Time Series Forecasting techniques, for predicting future outbreaks of Methicilin-resistant Staphylococcus aereu...
Source: Artificial Intelligence in Medicine - February 19, 2020 Category: Bioinformatics Source Type: research

Early detection of sepsis utilizing deep learning on electronic health record event sequences
Conclusion: We present a deep learning system for early detection of sepsis that can learn characteristics of the key factors and interactions from the raw event sequence data itself, without relying on a labor-intensive feature extraction work. Our system outperforms baseline models, such as gradient boosting, which rely on specific data elements and therefore suffer from many missing values in our dataset. (Source: Artificial Intelligence in Medicine)
Source: Artificial Intelligence in Medicine - February 19, 2020 Category: Bioinformatics Source Type: research

A recurrent neural network approach to predicting hemoglobin trajectories in patients with End-Stage Renal Disease
Publication date: Available online 19 February 2020Source: Artificial Intelligence in MedicineAuthor(s): Benjamin Lobo, Emaad Abdel-Rahman, Donald Brown, Lori Dunn, Brendan BowmanAbstractThe most severe form of kidney disease, End-Stage Renal Disease (ESRD) is treated with various forms of dialysis – artificial blood cleansing. Dialysis patients suffer many health burdens including high mortality and hospitalization rates, and symptomatic anemia: a low red blood cell count as indicated by a low hemoglobin (Hgb) level. ESRD-induced anemia is treated, with variable patient response, by erythropoiesis stimulating agents...
Source: Artificial Intelligence in Medicine - February 19, 2020 Category: Bioinformatics Source Type: research

Efficient Treatment of Outliers and Class Imbalance for Diabetes Prediction
Publication date: Available online 10 February 2020Source: Artificial Intelligence in MedicineAuthor(s): Nonso Nnamoko, Ioannis KorkontzelosAbstractLearning from outliers and imbalanced data remains one of the major difficulties for machine learning classifiers. Among the numerous techniques dedicated to tackle this problem, data preprocessing solutions are known to be efficient and easy to implement. In this paper, we propose a selective data preprocessing approach that embeds knowledge of the outlier instances into artificially generated subset to achieve an even distribution. The synthetic minority oversampling techniqu...
Source: Artificial Intelligence in Medicine - February 11, 2020 Category: Bioinformatics Source Type: research

Real-world data medical knowledge graph: construction and applications
ConclusionThe established systematic procedure can efficiently construct a high-quality medical KG from large-scale EMRs. The proposed ranking function PSR achieves the best performance under all relations, and the disease clustering result validates the efficacy of the learned embedding vector as entity’s semantic representation. Moreover, the obtained KG finds many successful applications due to its statistics-based quadruplet.where Ncomin is a minimum co-occurrence number and R is the basic reliability value. The reliability value can measure how reliable is the relationship between Si and Oij. The reason for the ...
Source: Artificial Intelligence in Medicine - February 7, 2020 Category: Bioinformatics Source Type: research