Predicting occurrence of spine surgery complications using big data modeling of an administrative claims database

Journal of Bone and Joint Surgery - American Volume

Volumn 98, Issue 10, 2016, Pages 824-834

  Ratliff, John K ^a   Balise, Ray ^b   Veeravagu, Anand ^a   Cole, Tyler S ^a   Cheng, Ivan ^a   Olshen, Richard A ^b   Tian, Lu ^b  

^a Department of Neurosurgery ^*  (United States)

^b STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BONE MORPHOGENETIC PROTEIN;

ARTICLE; CHARLSON COMORBIDITY INDEX; COMORBIDITY; CURRENT PROCEDURAL TERMINOLOGY; DATA BASE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FOLLOW UP; HOSPITAL ADMISSION; HUMAN; INCIDENCE; LONGITUDINAL STUDY; META ANALYSIS; POSTOPERATIVE COMPLICATION; PREDICTION; PRIORITY JOURNAL; PROSPECTIVE STUDY; SPINE SURGERY; SYSTEMATIC REVIEW; ADULT; DATA MINING; FACTUAL DATABASE; FEMALE; MALE; MIDDLE AGED; POSTOPERATIVE COMPLICATIONS; PROCEDURES; RISK ASSESSMENT; SPINE; STATISTICAL MODEL; SURGERY; UNITED STATES;

ADULT; DATA MINING; DATABASES, FACTUAL; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; POSTOPERATIVE COMPLICATIONS; RISK ASSESSMENT; SPINE; UNITED STATES;

EID: 84978785873     PISSN: 00219355     EISSN: 15351386     Source Type: Journal    
DOI: 10.2106/JBJS.15.00301     Document Type: Article

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