Linda A. Winters-Miner PhDPat S. Bolding MDJoseph M. Hilbe JD, PhDMitchell Goldstein MDThomas Hill PhDRobert Nisbet PhDNephi Walton MS, MDGary D. Miner PhDPractical Predictive Analytics and Decisioning Systems for Medicine
While quantitative studies in medicine have begun, the classification phase continues in medicine and health care with the upgrading of the ICD-9 coding system to form the ICD-10 system of today. This chapter describes the development of this disease classification system, and explains how it ...
Automated data-adaptive analytics for electronic healthcare data to study causal treatment effects. Clin Epidemiol. 2018;10:771–788. doi:10.2147/CLEP.S166545 12. Rassen JA, Schneeweiss S. Using high-dimensional propensity scores to automate confounding control in a distributed medical product ...
On the heels of ICD-10 adoption and against the backdrop o... JT Barnes - 《Journal of Medical Practice Management Mpm》 被引量: 0发表: 2017年 Connecting Coded Data to Data Analytics WHAT DO POPULATION health, disease management, predictive modeling, and surgical case indices have in common...
Wasden EdD, in Practical Predictive Analytics and Decisioning Systems for Medicine, 2015 Healthcare Digital Complexity For every patient encounter a health provider will use several five-digit ICD-9 codes, of which there are presently over 15,000, to describe what was diagnosed; the USA will be...
Systematic review of validated case definitions for diabetes in ICD-9-coded and ICD-10-coded data in adult populations. BMJ Open. 2016;6(8):e009952.Khokhar B, Jette N, Metcalfe A, Cunningham CT, Quan H, Kaplan GG, et al. Systematic review of vali- dated case definitions for diabetes ...
standards had to be designed to handle these resources. This need resulted in the development of the ICD-10 standards, an upgrade to the previousICD-9standards followed previously.Chapter 8describes these new standards, and relates them to the specific information requirements of predictive analytics...