AIMC Journal:
Journal of biomedical informatics

Showing 331 to 340 of 650 articles

A novel approach to modeling multifactorial diseases using Ensemble Bayesian Rule classifiers.

Journal of biomedical informatics Jun 1, 2020
Modeling factors influencing disease phenotypes, from biomarker profiling study datasets, is a critical task in biomedicine. Such datasets are typically generated from high-throughput 'omic' technologies, which help examine disease mechanisms at an u...
Machine Learning Bayes Theorem
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Prediction of mortality in Intensive Care Units: a multivariate feature selection.

Journal of biomedical informatics May 23, 2020
CONTEXT: The critical nature of patients in Intensive Care Units (ICUs) demands intensive monitoring of their vital signs as well as highly qualified professional assistance. The combination of these needs makes ICUs very expensive, which requires in...
Humans Machine Learning Intensive Care Units Hospital Mortality APACHE Vital Signs
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Extracting drug-drug interactions from texts with BioBERT and multiple entity-aware attentions.

Journal of biomedical informatics May 23, 2020
Drug-drug interactions (DDIs) extraction is one of the important tasks in the field of biomedical relation extraction, which plays an important role in the field of pharmacovigilance. Previous neural network based models have achieved good performanc...
Neural Networks, Computer Pharmaceutical Preparations Drug Interactions Attention Semantics
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Response score of deep learning for out-of-distribution sample detection of medical images.

Journal of biomedical informatics May 22, 2020
Deep learning Convolutional Neural Networks have achieved remarkable performance in a variety of classification tasks. The data-driven nature of deep learning indicates that a model behaves in response to the data used to train the model, and the qua...
Neural Networks, Computer Deep Learning
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Summarization of biomedical articles using domain-specific word embeddings and graph ranking.

Journal of biomedical informatics May 19, 2020
Text summarization tools can help biomedical researchers and clinicians reduce the time and effort needed for acquiring important information from numerous documents. It has been shown that the input text can be modeled as a graph, and important sent...
Language Natural Language Processing Semantics Unified Medical Language System
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Active deep learning to detect demographic traits in free-form clinical notes.

Journal of biomedical informatics May 16, 2020
The free-form portions of clinical notes are a significant source of information for research, but before they can be used, they must be de-identified to protect patients' privacy. De-identification efforts have focused on known identifier types (nam...
Humans Phenotype Deep Learning Confidentiality Problem-Based Learning Demography
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Cohort selection for clinical trials using multiple instance learning.

Journal of biomedical informatics May 1, 2020
Identifying patients eligible for clinical trials using electronic health records (EHRs) is a challenging task usually requiring a comprehensive analysis of information stored in multiple EHRs of a patient. The goal of this study is to investigate di...
Humans Machine Learning Electronic Health Records Cohort Studies Patient Selection Motivation
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SPST-CNN: Spatial pyramid based searching and tagging of liver's intraoperative live views via CNN for minimal invasive surgery.

Journal of biomedical informatics May 1, 2020
Laparoscopic liver surgery is challenging to perform because of compromised ability of the surgeon to localize subsurface anatomy due to minimal invasive visibility. While image guidance has the potential to address this barrier, intraoperative facto...
Neural Networks, Computer Image Processing, Computer-Assisted Liver
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Chinese clinical named entity recognition with variant neural structures based on BERT methods.

Journal of biomedical informatics Apr 28, 2020
Clinical Named Entity Recognition (CNER) is a critical task which aims to identify and classify clinical terms in electronic medical records. In recent years, deep neural networks have achieved significant success in CNER. However, these methods requ...
Neural Networks, Computer Electronic Health Records China Text Messaging
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Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision.

Journal of biomedical informatics Apr 26, 2020
Medical error is a leading cause of patient death in the United States. Among the different types of medical errors, harm to patients caused by doctors missing early signs of deterioration is especially challenging to address due to the heterogeneity...
Humans Machine Learning Acute Kidney Injury Intensive Care Units Hospitalization
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