A Bayesian machine learning approach for drug target identification using diverse data types. Madhukar Neel S et al. Nature communications 2019 Nov 10(1) 5221

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Last Posted: Nov 30, 2019

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• Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients
  A Deauvin et al, NPJ Digital Medicine, November 29, 2019
• A Bayesian machine learning approach for drug target identification using diverse data types.
  Madhukar Neel S et al. Nature communications 2019 Nov 10(1) 5221
• Accuracy of real-time multi-model ensemble forecasts for seasonal influenza in the U.S.
  Reich Nicholas G et al. PLoS computational biology 2019 Nov 15(11) e1007486
• Achieving Rapid Blood Pressure Control With Digital Therapeutics: Retrospective Cohort and Machine Learning Study.
  Guthrie Nicole L et al. JMIR cardio 2019 Mar 3(1) e13030
• An overview of deep learning algorithms and water exchange in colonoscopy in improving adenoma detection.
  Hsieh Yu-Hsi et al. Expert review of gastroenterology & hepatology 2019 Nov
• High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP).
  Zhang Yichi et al. Nature protocols 2019 Nov
• Identifying predictors of probable posttraumatic stress disorder in children and adolescents with earthquake exposure: A longitudinal study using a machine learning approach.
  Ge Fenfen et al. Journal of affective disorders 2019 Nov
• Implementing machine learning in bipolar diagnosis in China.
  Ma Yantao et al. Translational psychiatry 2019 Nov 9(1) 305
• Machine Learning, Predictive Analytics, and Clinical Practice: Can the Past Inform the Present?
  Peterson Eric D et al. JAMA 2019 Nov
• Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy.
  Weiss Rebecca J et al. Journal of translational medicine 2019 Nov 17(1) 385

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