Predicting postoperative epilepsy surgery satisfaction in adults using the 19‐item Epilepsy Surgery Satisfaction Questionnaire and machine learning — Colin B. Josephson (2021) | RDL Network
Predicting postoperative epilepsy surgery satisfaction in adults using the 19‐item Epilepsy Surgery Satisfaction Questionnaire and machine learning
Article 2021 en
Authors
CJ
Colin B. Josephson
JE
Jordan D. T. Engbers
TS
Tolulope T. Sajobi
Abstract
1 min read
Machine learning applied postoperatively to the ESSQ-19 can be used to predict surgical satisfaction. This algorithm, once externally validated, can be used in clinical settings by fixing immutable clinical characteristics and adjusting hypothesized postoperative variables, to counsel patients at an individual level on how satisfied they will be with differing surgical outcomes.
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