Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45212, first published .
Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning–Based Analysis

Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning–Based Analysis

Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning–Based Analysis

Journals

  1. Wang Y, Tian L, Wang W, Pang W, Song Y, Xu X, Sun F, Nie W, Zhao X, Wang L. Development and validation of machine learning models for predicting cancer-related fatigue in lymphoma survivors. International Journal of Medical Informatics 2024;192:105630 View
  2. Makhnevych I, Smetanina D, Abdelgyoum M, Alblooshi J, Alhosani A, Musa I, Nimer A, Zaręba K, Younis T, Ljubisavljevic M, Statsenko Y. Dynamics in Quality of Life of Breast Cancer Patients Following Breast-Conserving Surgery Versus Mastectomy: Protocol for Systematic Review and Meta-Analysis. Healthcare 2024;12(22):2288 View
  3. Pesta M, Mrazova B, Kapalla M, Kulda V, Gkika E, Golubnitschaja O. Mitochondria-based holistic 3PM approach as the ‘game-changer’ for individualised rehabilitation—the proof-of-principle model by treated breast cancer survivors. EPMA Journal 2024;15(4):559 View