AIMC Journal:
Journal of biomedical informatics

Showing 341 to 350 of 650 articles

Harmonized representation learning on dynamic EHR graphs.

Journal of biomedical informatics Apr 25, 2020
With the rise of deep learning, several recent studies on deep learning-based methods for electronic health records (EHR) successfully address real-world clinical challenges by utilizing effective representations of medical entities. However, existin...
Humans Machine Learning Electronic Health Records
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Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling.

Journal of biomedical informatics Apr 23, 2020
The development of machine learning solutions in medicine is often hindered by difficulties associated with sharing patient data. Distributed learning aims to train machine learning models locally without requiring data sharing. However, the utility ...
Humans Neural Networks, Computer Machine Learning Computer Simulation Support Vector Machine
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Drug-drug interaction extraction via hybrid neural networks on biomedical literature.

Journal of biomedical informatics Apr 23, 2020
Adverse events caused by drug-drug interaction (DDI) not only pose a serious threat to health, but also increase additional medical care expenditure. However, despite the emergence of many excellent text mining-based DDI classification methods, achie...
Neural Networks, Computer Algorithms Pharmaceutical Preparations Drug Interactions Data Mining
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Neural negated entity recognition in Spanish electronic health records.

Journal of biomedical informatics Apr 13, 2020
This work deals with negation detection in the context of clinical texts. Negation detection is a key for decision support systems since negated events (detection of absence of some events) help ascertain current medical conditions. For artificial in...
Neural Networks, Computer Artificial Intelligence Electronic Health Records Deep Learning Natural Language Processing
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A study of entity-linking methods for normalizing Chinese diagnosis and procedure terms to ICD codes.

Journal of biomedical informatics Apr 13, 2020
OBJECTIVE: This study aims to develop and evaluate effective methods that can normalize diagnosis and procedure terms written by physicians to standard concepts in International Classification of Diseases(ICD) in Chinese, with the goal to facilitate ...
Neural Networks, Computer China Support Vector Machine International Classification of Diseases Clinical Coding
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Matching patients to clinical trials using semantically enriched document representation.

Journal of biomedical informatics Mar 10, 2020
Recruiting eligible patients for clinical trials is crucial for reliably answering specific questions about medical interventions and evaluation. However, clinical trial recruitment is a bottleneck in clinical research and drug development. Our goal ...
Humans Neural Networks, Computer Machine Learning Language Natural Language Processing Semantics
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Explainable decision support through the learning and visualization of preferences from a formal ontology of antibiotic treatments.

Journal of biomedical informatics Mar 8, 2020
The aim of eXplainable Artificial Intelligence (XAI) is to design intelligent systems that can explain their predictions or recommendations to humans. Such systems are particularly desirable for therapeutic decision support, because physicians need t...
Humans Artificial Intelligence Anti-Bacterial Agents Learning Decision Support Systems, Clinical
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Evaluating sentence representations for biomedical text: Methods and experimental results.

Journal of biomedical informatics Mar 6, 2020
Text representations ar one of the main inputs to various Natural Language Processing (NLP) methods. Given the fast developmental pace of new sentence embedding methods, we argue that there is a need for a unified methodology to assess these differen...
Software Language Natural Language Processing Semantics
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Research on Chinese medical named entity recognition based on collaborative cooperation of multiple neural network models.

Journal of biomedical informatics Feb 25, 2020
Medical named entity recognition (NER) in Chinese electronic medical records (CEMRs) has drawn much research attention, and plays a vital prerequisite role for extracting high-value medical information. In 2018, China Health Information Processing Co...
Neural Networks, Computer Electronic Health Records Language China Natural Language Processing
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Use of Stratified Cascade Learning to predict hospitalization risk with only socioeconomic factors.

Journal of biomedical informatics Feb 20, 2020
BACKGROUND AND OBJECTIVE: Published models predicting health related outcomes rely on clinical, claims and social determinants of health (SDH) data. Addressing the challenge of predicting with only SDH we developed a novel framework termed Stratified...
Humans Machine Learning Hospitalization Cohort Studies Socioeconomic Factors
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