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

Geroinformatics and Electronic Clinical Information/Decision Making in Geriatrics (109) Clinical Information and Decision Making (3540) Surgery, Trauma and Surgical Sciences (284) Clinical Cancer Research (236) Machine Learning (3053) Outcomes Research in Perioperative Medicine (73)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65898, first published .
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Machine Learning for Predicting Postoperative Functional Disability and Mortality Among Older Patients With Cancer: Retrospective Cohort Study

Machine Learning for Predicting Postoperative Functional Disability and Mortality Among Older Patients With Cancer: Retrospective Cohort Study

Authors of this article:

Yuki Hashimoto1 Author Orcid Image ;   Norihiko Inoue1 Author Orcid Image ;   Takuaki Tani2 Author Orcid Image ;   Shinobu Imai2 Author Orcid Image
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  3. Hashimoto Y, Inoue N, Imai S. Clinical Outcomes and Healthcare Costs of CART Versus Paracentesis for Malignant Ascites: A Nationwide Retrospective Cohort Study in Japan. Cancer Medicine 2026;15(1) View
  4. Eaglehouse Y, Dide-Agossou C, Darmon S, Kern S, Oroho M, Almeida A, Shriver C, Zhu K. Comorbidity Level and Risk of 90-day and 18-month Complications Among Patients Undergoing Radical Prostatectomy for Prostate Cancer in the Military Health System. Cancer Control 2026;33 View
  5. Nishi H, Shigeishi H, Horikoshi S, Naganuma K, Ohta K, Yoshioka Y, Konishi M, Takesue S, Nakasato M, Tari M, Maruyama M, Yamasaki S, Ito N, Yano K, Nakaoka M, Mizuno N, Tanimoto K, Kakimoto N, Ohge H, Kawaguchi H. Timing of perioperative oral care and postoperative pneumonia: a propensity score–matched cohort study. BMC Oral Health 2026;26(1) View