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March 18, 2021SHILAP Revista de lepidopterologíaOpen Access

Predicting Outcomes in Patients Undergoing Pancreatectomy Using Wearable Technology and Machine Learning: Prospective Cohort Study

Heidy Cos Dingwen Li Gregory A. Williams Jeffrey Chininis Ruixuan Dai Jingwen Zhang Rohit Srivastava Lacey Raper Dominic E. Sanford William G. Hawkins Chenyang Lu Chet W. Hammill

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Abstract

Machine learning models outperformed ACS-NSQIP SRC estimates in predicting textbook outcomes after pancreatectomy. The highest performance was observed when machine learning models incorporated patient clinical characteristics and activity metrics.

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Cite This Study

Cos et al. (2021) studied this question.

synapsesocial.com/papers/69da1fbb387cf7069868609a https://doi.org/10.2196/23595

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