Published on in Vol 5, No 2 (2019): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12163, first published .
Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study

Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study

Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study

Journals

  1. Shah N, Konchak C, Chertok D, Au L, Kozlov A, Ravichandran U, McNulty P, Liao L, Steele K, Kharasch M, Boyle C, Hensing T, Lovinger D, Birnberg J, Solomonides A, Halasyamani L, Dou D. Clinical Analytics Prediction Engine (CAPE): Development, electronic health record integration and prospective validation of hospital mortality, 180-day mortality and 30-day readmission risk prediction models. PLOS ONE 2020;15(8):e0238065 View
  2. Tarekegn A, Ricceri F, Costa G, Ferracin E, Giacobini M. Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches. JMIR Medical Informatics 2020;8(6):e16678 View
  3. Oytun M, Tinazci C, Sekeroglu B, Acikada C, Yavuz H. Performance Prediction and Evaluation in Female Handball Players Using Machine Learning Models. IEEE Access 2020;8:116321 View
  4. Li J, Tian Y, Zhu Y, Zhou T, Li J, Ding K, Li J. A multicenter random forest model for effective prognosis prediction in collaborative clinical research network. Artificial Intelligence in Medicine 2020;103:101814 View
  5. do Nascimento C, dos Santos H, de Moraes Batista A, Roman Lay A, Duarte Y, Chiavegatto Filho A. Cause-specific mortality prediction in older residents of São Paulo, Brazil: a machine learning approach. Age and Ageing 2021;50(5):1692 View
  6. Kent E, Park E, Wood W, Bryant A, Mollica M. Survivorship Care of Older Adults With Cancer: Priority Areas for Clinical Practice, Training, Research, and Policy. Journal of Clinical Oncology 2021;39(19):2175 View
  7. Parimbelli E, Wilk S, Cornet R, Sniatala P, Sniatala K, Glaser S, Fraterman I, Boekhout A, Ottaviano M, Peleg M. A review of AI and Data Science support for cancer management. Artificial Intelligence in Medicine 2021;117:102111 View
  8. Lu S, Xu C, Nguyen C, Geng Y, Pfob A, Sidey-Gibbons C. Machine Learning–Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical Appraisal. JMIR Medical Informatics 2022;10(3):e33182 View
  9. Chu W, Tsan Y, Chen P, Chen C, Hao M, Chan W, Chen H, Hsu P, Lin S, Yang C. A model for predicting physical function upon discharge of hospitalized older adults in Taiwan—a machine learning approach based on both electronic health records and comprehensive geriatric assessment. Frontiers in Medicine 2023;10 View
  10. Kim M, Cha H, You S, Kim S. Thirty‐day mortality after palliative radiotherapy in advanced cancer patients: Optimizing end‐of‐life care in Asia. Journal of Medical Imaging and Radiation Oncology 2024;68(3):307 View