Explainable machine learning model for predicting skeletal muscle loss during surgery and adjuvant chemotherapy in ovarian cancer.
Wen-Han HsuAi-Tung KoChia-Sui WengChih-Long ChangYa-Ting JanJhen-Bin LinHung-Ju ChienWan-Chun LinFang-Ju SunKun-Pin WuJie LeePublished in: Journal of cachexia, sarcopenia and muscle (2023)
Explainable ML model was developed using clinical data to identify patients experiencing muscle loss after treatment and provide information of feature contribution. Using the SHAP method, clinicians may better understand the contributors to muscle loss and target interventions to counteract muscle loss.
Keyphrases
- skeletal muscle
- machine learning
- end stage renal disease
- ejection fraction
- insulin resistance
- minimally invasive
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- big data
- prognostic factors
- healthcare
- palliative care
- metabolic syndrome
- patient reported outcomes
- atrial fibrillation
- social media
- data analysis
- neural network