Last Posted: Sep 27, 2019
- The future of electronic health records
J Hecht, Nature Outlook, September 25, 2019 - Medical device surveillance with electronic health records
A Callahan et al, NPJ Digital Medicine, September 25, 2019 - Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health records.
Wu Chi-Shin et al. Journal of affective disorders 2019 Sep 260617-623 - What health records data are required for accurate prediction of suicidal behavior?
Simon Gregory E et al. Journal of the American Medical Informatics Association : JAMIA 2019 Sep - Clinical Molecular Marker Testing Data Capture to Promote Precision Medicine Research Within the Cancer Research Network
AN Burnett-Hartmann et al, JCO Clin Cancer Informatics, September 2019 - Real-time flu tracking- By monitoring social media, scientists can monitor outbreaks as they happen.
C Schmidt, Nature Outlook, September 18, 2019 - Predictive value of genomic screening: cross-sectional study of cystic fibrosis in 50,788 electronic health records.
Sugunaraj J P et al. NPJ genomic medicine 2019 421 - Deep Learning Approaches Outperform Conventional Strategies in De-Identification of German Medical Reports.
Richter-Pechanski Phillip et al. Studies in health technology and informatics 2019 Sep 267101-109 - Development and Preliminary Evaluation of a Visual Annotation Tool to Rapidly Collect Expert-Annotated Weight Errors in Pediatric Growth Charts.
Van Camp P J et al. Studies in health technology and informatics 2019 Aug 264853-857 - Machine Learning to Identify Dialysis Patients at High Death Risk.
Akbilgic Oguz et al. Kidney international reports 2019 Sep 4(9) 1219-1229
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