Can big-data analysis of clinical audits help to find new risk factors and predict adverse
events associated with colorectal cancer surgery?
Lead by researcher at Amsterdam UMC, we participated in a cohort study that found that machine learning applied to a clinical audit containing 62,501 records and 103 preoperative variables of surgically treated patients with colorectal cancer outperformed conventional scores in predicting 30-day postoperative mortality but with similar performance as a preexisting case-mix model. New risk factors for several other adverse events may be identified.
This study was published recently in the leading medical scientific journal JAMA.
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