Last Posted: Aug 30, 2019
- Opinion: Big data scientists must be ethicists too
J Vitti, Broad Institute Blog, August 29, 2019 - m-Health 2.0: New perspectives on mobile health, machine learning and big data analytics.
Istepanian Robert S H et al. Methods (San Diego, Calif.) 2018 15134-40 - Realities of conducting digital health research: Challenges to consider.
de Redon Emily et al. Digital health 52055207619869466 - Artificial intelligence for medicine needs a Turing test. Obesity would be a good one
M Joyner, StatNews, August 28, 2019 - Developing a Model for Using Clinical Routine Data to Analyze Nursing Sensitive Patient Outcome Indicators.
Nantschev Renate et al. Studies in health technology and informatics 2019 Aug 2641863-1864 - Development and implementation of a dynamically updated big data intelligence platform from electronic health records for nasopharyngeal cancer research.
Lin Li et al. The British journal of radiology 2019 Aug 20190255 - 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 - Using Big Data Techniques to Improve Prostate Cancer Reporting in the Gauteng Province, South Africa.
Cassim N et al. Studies in health technology and informatics 2019 Aug 2641437-1438 - Big data analysis of all bacterial genomes establishes a triple whammy of carbapenemases, ICEs and multiple clinically-relevant bacteria
Botelho J, et al. bioRxiv, Aug 17, 2019. - Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.
Makino Masaki et al. Scientific reports 2019 Aug 9(1) 11862
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