Novel Machine Learning Approach to Identify Preoperative Risk Factors Associated With Super-Utilization of Medicare Expenditure Following Surgery

IMPORTANCE: Typically defined as the top 5% of health care users, super-utilizers are responsible for an estimated 40% to 55% of all health care costs. Little is known about which factors may be associated with increased risk of long-term postoperative super-utilization. OBJECTIVE: To identify clust...

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Detaylı Bibliyografya
Yayımlandı:JAMA Surg
Asıl Yazarlar: Hyer, J. Madison, Ejaz, Aslam, Tsilimigras, Diamantis I., Paredes, Anghela Z., Mehta, Rittal, Pawlik, Timothy M.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: American Medical Association 2019
Konular:
Original Investigation
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6694398/
https://ncbi.nlm.nih.gov/pubmed/31411664
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamasurg.2019.2979
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