Big Data to Knowledge (BD2K)
"Is Big Data Bigger than Its Own Hype?" Yale Insights, July 03, 2017
"Delayed Response to Antihypertension Medication: A Harbinger of Stroke, Heart Failure, and Vascular Disease" Hypertension Editorial Commentary, May 30, 2017
"Analyzing Patient Heterogeneity Upon Antihypertensive Therapy Initiation to Personalize Prognosis" Cardiology Advisor, March 22, 2017
"Can Big Data Cure Cancer?" U.S. News & World Report, October 15, 2014
"Big Data Destined for the Bedside Within 5 Years" Cardiology News, August 7, 2014
"Why Can't We Do Better Than This" The Health Care Blog, September 22, 2013
"Can Big Data Make Healthcare More Effective?" Yale School of Medicine, Yale Insights (video), February 21, 2013
"Forbes Healthcare Summit: Using Big Data to Make Patients Better" Forbes, February 5, 2013
Ross JS, Bates J, Parzynski CS, Akar JG, Curtis JP, Desai NR, Freeman JV, Gamble GM, Kuntz R, Li SX, Marinac-Dabic D, Masoudi FA, Normand SLT, Ranasinghe I, Shaw RE, Krumholz HM. Can machine learning complement traditional medical device surveillance? A case-study of dual-chamber implantable cardioverter–defibrillators. Medical Devices: Evidence and Resarch. 2017 August (10):165-188. DOI: 10.2147/MDER.S138158
Dhurva SS, Huang C, Spatz ES, Coppi A, Warner F, Li S-X, Lin H, Xu X, Furberg CD, Davis BR, Pressel SL, Coifman RR, Krumholz HK. Heterogeneity in early responses in ALLHAT (Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial). Hypertension. 2017 Jul;70(1):94-102.
Mortazavi BJ, Desai N, Zhang J, Coppi A, Warner F, Krumholz HM, Negahban S. Prediction of adverse events in patients undergoing major cardiovascular procedures. IEEE Journal of Biomedical and Health Informatics. 2017; DOI: 10.1109/JBHI.2017.2675340
Haimovich JS, Venkatesh AK, Shojaee A, Coppi A, Warner F, Li SX, Krumholz HM. Discovery of temporal and disease association patterns in condition-specific hospital utilization rates. PLOS ONE. 2017; 12(3):e0172049. doi: 10.1371/journal.pone.0172049.
Mortazavi BJ, Downing NS, Bucholz EM, Dharmarajan K, Manhapra A, Li SX, Negahban SN, Krumholz HM. Analysis of machine learning techniques for heart failure readmissions. Circ Cardiovasc Qual Outcomes. 2016;9:DOI: 10.1161/CIRCOUTCOMES.116.003039.
Krumholz HM. The promise of big data: opportunities and challenges. Circ Cardiovasc Qual Outcomes. 2016;9:DOI: 10.1161/CIRCOUTCOMES.116.003366.
Krumholz HM. Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system. Health Affairs. 2014;33:1163-70.