• Data Science and Machine Learning in Public Health: Promises and Challenges
  C Patel et al, CDC Blog Post, September 20, 2019
• Machine learning based prediction of antibiotic sensitivity in patients with critical illness
  D Ghosh et al, MedRXIV, September 20, 2019
• Real-time flu tracking- By monitoring social media, scientists can monitor outbreaks as they happen.
  C Schmidt, Nature Outlook, September 18, 2019
• A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.
  Li Yin et al. BMC cancer 2019 Sep 19(1) 886
• Artificial Intelligence Confronts a 'Reproducibility' Crisis
  Machine-learning systems are black boxes even to the researchers that build them. That makes it hard for others to assess the results, WIRED, September 16, 2019
• A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis.
  Harris Miriam et al. PloS one 2019 14(9) e0221339
• An Adversorial Approach to Enable Re-Use of Machine Learning Models and Collaborative Research Efforts Using Synthetic Unstructured Free-Text Medical Data.
  Kasthurirathne Suranga N et al. Studies in health technology and informatics 2019 Aug 2641510-1511
• Automatic classification of free-text medical causes from death certificates for reactive mortality surveillance in France.
  Baghdadi Yasmine et al. International journal of medical informatics 2019 Jul 131103915
• Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images.
  Christe Andreas et al. Investigative radiology 2019 Oct 54(10) 627-632
• 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

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