Last Posted: Jan 15, 2020
- Deep learning for electronic health records: A comparative review of multiple deep neural architectures.
Ayala Solares Jose Roberto et al. Journal of biomedical informatics 2020 Jan 101103337 - Early diagnosis of bloodstream infections in the intensive care unit using machine-learning algorithms.
Roimi Michael et al. Intensive care medicine 2020 Jan - An exploratory phenome wide association study linking asthma and liver disease genetic variants to electronic health records from the Estonian Biobank.
James Glen et al. PloS one 2019 14(4) e0215026 - Identifying patients with familial hypercholesterolemia using data mining methods in the Northern Great Plain region of Hungary.
Paragh György et al. Atherosclerosis 2018 277262-266 - Stratifying risk for dementia onset using large-scale electronic health record data: a retrospective cohort study.
McCoy Thomas H et al. Alzheimer's & dementia : the journal of the Alzheimer's Association 2019 Dec - Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records.
Wang Yanshan et al. Journal of biomedical informatics 2019 Dec 103364 - Artificial intelligence approaches to improve kidney care
P Rashidi et al. Nature Rev Nephrology, December 2019 - Monitoring ICU Mortality Risk with A Long Short-Term Memory Recurrent Neural Network.
Yu Ke et al. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2020 25103-114 - Natural language processing for populating lung cancer clinical research data.
Wang Liwei et al. BMC medical informatics and decision making 2019 Dec 19(Suppl 5) 239 - Translational Bioinformatics: Biobanks in the Precision Medicine Era.
Ritchie Marylyn D et al. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2020 25743-747
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