Hyer, J Madison <br/><br/>
Novel Machine Learning Approach to Identify Preoperative Risk Factors Associated With Super-Utilization of Medicare Expenditure Following Surgery.  [electronic resource] 

 -  JAMA surgery  11 2019 
 - 1014-1021 p.  digital 
<br/><br/> Publication Type: Journal Article; Observational Study 
<br/><br/><label>ISSN: </label>2168-6262 
<br/><br/><label>Standard No.: </label>10.1001/jamasurg.2019.2979  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Aged<br/>Elective Surgical Procedures<br/>Female<br/>Health Expenditures--statistics & numerical data<br/>Humans<br/>Machine Learning<br/>Male<br/>Medicare--economics<br/>Patient Acceptance of Health Care--statistics & numerical data<br/>Postoperative Care--economics<br/>Preoperative Care--methods<br/>Retrospective Studies<br/>Risk Assessment--methods<br/>Risk Factors<br/>United States