AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 741 to 750 of 1118 articles

TAPER: Time-Aware Patient EHR Representation.

IEEE journal of biomedical and health informatics Nov 4, 2020
Effective representation learning of electronic health records is a challenging task and is becoming more important as the availability of such data is becoming pervasive. The data contained in these records are irregular and contain multiple modalit...
Humans Natural Language Processing Machine Learning Electronic Health Records
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A Multi-View Deep Neural Network Model for Chemical-Disease Relation Extraction From Imbalanced Datasets.

IEEE journal of biomedical and health informatics Nov 4, 2020
Understanding the chemical-disease relations (CDR) is a crucial task in various biomedical domains. Manual mining of these information from biomedical literature is costly and time-consuming. To address these issues, various researches have been carr...
Humans Neural Networks, Computer
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Deep Neural Networks for Survival Analysis Using Pseudo Values.

IEEE journal of biomedical and health informatics Nov 4, 2020
There has been increasing interest in modelling survival data using deep learning methods in medical research. Current approaches have focused on designing special cost functions to handle censored survival data. We propose a very different method wi...
Humans Neural Networks, Computer Software Algorithms Survival Analysis
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A DNA-Based Intelligent Expert System for Personalised Skin-Health Recommendations.

IEEE journal of biomedical and health informatics Nov 4, 2020
Intensive attention on personalised skin-health solutions is on account of incomparable love of skin and an urgent need for effective treatment. In the meanwhile, people have great expectations on how to utilise genetic knowledge of our body to provi...
DNA Skin Expert Systems Humans
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Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification.

IEEE journal of biomedical and health informatics Sep 10, 2020
The pandemic of coronavirus disease 2019 (COVID-19) has lead to a global public health crisis spreading hundreds of countries. With the continuous growth of new infections, developing automated tools for COVID-19 identification with CT image is highl...
Humans Databases, Factual Tomography, X-Ray Computed SARS-CoV-2 Machine Learning Pandemics COVID-19 Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections COVID-19 Testing Deep Learning Computer Systems Computational Biology
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Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

IEEE journal of biomedical and health informatics Aug 20, 2020
Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide since first reported. Timely diagnosis of COVID-19 is crucial both for disease control and patient care. Non-contrast thoracic computed tomography (CT) has been identified as an effecti...
Betacoronavirus Pneumonia, Viral Coronavirus Infections COVID-19 Testing Clinical Laboratory Techniques Diagnostic Errors Deep Learning Cohort Studies Computational Biology Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Retrospective Studies Tomography, X-Ray Computed SARS-CoV-2 COVID-19 Algorithms Humans Neural Networks, Computer Pandemics
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α-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.

IEEE journal of biomedical and health informatics Jul 15, 2020
The fast evolving and deadly outbreak of coronavirus disease (COVID-19) has posed grand challenges to human society. To slow the spread of virus infections and better respond for community mitigation, by advancing capabilities of artificial intellige...
Artificial Intelligence Pandemics COVID-19 Databases, Factual SARS-CoV-2 Risk Assessment Coronavirus Infections Humans United States Betacoronavirus Geographic Information Systems Social Media Pneumonia, Viral Computer Systems Computational Biology Benchmarking
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Automatic Medical Code Assignment via Deep Learning Approach for Intelligent Healthcare.

IEEE journal of biomedical and health informatics May 25, 2020
With the development of healthcare 4.0, there has been an explosion in the amount of data such as image, medical text, physiological signals, lab tests, etc. Among them, medical records provide a complete picture of the associated clinical events. Ho...
International Classification of Diseases Delivery of Health Care Humans Electronic Health Records Deep Learning Artificial Intelligence
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PopPhy-CNN: A Phylogenetic Tree Embedded Architecture for Convolutional Neural Networks to Predict Host Phenotype From Metagenomic Data.

IEEE journal of biomedical and health informatics May 11, 2020
Accurate prediction of the host phenotype from a metagenomic sample and identification of the associated microbial markers are important in understanding potential host-microbiome interactions related to disease initiation and progression. We introdu...
Metagenomics Neural Networks, Computer Algorithms Phenotype Genetic Predisposition to Disease Phylogeny Gastrointestinal Microbiome Deep Learning Databases, Genetic
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Knowledge Graph-Enabled Cancer Data Analytics.

IEEE journal of biomedical and health informatics May 4, 2020
Cancer registries collect unstructured and structured cancer data for surveillance purposes which provide important insights regarding cancer characteristics, treatments, and outcomes. Cancer registry data typically (1) categorize each reportable can...
Registries Humans Knowledge Bases Algorithms Middle Aged Aged, 80 and over Neoplasms Adult Incidence Databases, Factual Male Female Aged
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