This paper is in the following e-collection/theme issue:

Public Health Informatics (93) Breast Cancer (206) Cancer Survivorship (258) Machine Learning (1465) Innovations and Technology in Cancer Care (423)
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

Authors of this article:

Danbee Kang1, 2 Author Orcid Image ;   Hyunsoo Kim1, 2 Author Orcid Image ;   Juhee Cho1, 2 Author Orcid Image ;   Zero Kim3 Author Orcid Image ;   Myungjin Chung3 Author Orcid Image ;   Jeong Eon Lee4 Author Orcid Image ;   Seok Jin Nam4 Author Orcid Image ;   Seok Won Kim4 Author Orcid Image ;   Jonghan Yu4 Author Orcid Image ;   Byung Joo Chae4 Author Orcid Image ;   Jai Min Ryu4 Author Orcid Image ;   Se Kyung Lee4 Author Orcid Image
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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