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