Last Posted: Sep 25, 2019
- A quantitative approach for the analysis of clinician recognition of acute respiratory distress syndrome using electronic health record data.
Bechel Meagan A et al. PloS one 2019 14(9) e0222826 - Data Science and Machine Learning in Public Health: Promises and Challenges
C Patel et al, CDC Blog Post, September 20, 2019 - A Business Case for Artificial Intelligence Tools: The Currency of Improved Quality and Reduced Cost.
Golding Lauren Parks et al. Journal of the American College of Radiology : JACR 2019 Sep 16(9 Pt B) 1357-1361 - Innovative Data Science to Transform Health Care: All the Pieces Matter.
Masica Andrew L et al. EGEMS (Washington, DC) 2019 Aug 7(1) 47 - Towards Automating Location-Specific Opioid Toxicosurveillance from Twitter via Data Science Methods.
Sarker Abeed et al. Studies in health technology and informatics 2019 Aug 264333-337 - Informatics and Data Science for the Precision in Symptom Self-Management Center.
Bakken Suzanne et al. Studies in health technology and informatics 2019 Aug 2641827-1828 - Harnessing digital data and data science to achieve 90-90-90 goals to end the HIV epidemic.
Strathdee Steffanie A et al. Current opinion in HIV and AIDS 2019 Aug - Digital Phenotyping With Mobile and Wearable Devices: Advanced Symptom Measurement in Child and Adolescent Depression.
Sequeira Lydia et al. Journal of the American Academy of Child and Adolescent Psychiatry 2019 Sep 58(9) 841-845 - In Pursuit of Evidence in Air Pollution Epidemiology: The Role of Causally Driven Data Science.
Carone Marco et al. Epidemiology (Cambridge, Mass.) 2019 Aug - How Big Data Science Can Improve Linkage and Retention in Care.
Rana Aadia I et al. Infectious disease clinics of North America 2019 Sep 33(3) 807-815
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