Published on in Vol 9, No 8 (2021): August
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/29807, first published
.
Journals
- Kennion O, Maitland S, Brady R. Machine learning as a new horizon for colorectal cancer risk prediction? A systematic review. Health Sciences Review 2022;4:100041 View
- Gopukumar D, Ghoshal A, Zhao H. Predicting Readmission Charges Billed by Hospitals: Machine Learning Approach. JMIR Medical Informatics 2022;10(8):e37578 View
- Loh H, Ooi C, Seoni S, Barua P, Molinari F, Acharya U. Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022). Computer Methods and Programs in Biomedicine 2022;226:107161 View
- Afrash M, Shanbehzadeh M, Kazemi-Arpanahi H. Design and Development of an Intelligent System for Predicting 5-Year Survival in Gastric Cancer. Clinical Medicine Insights: Oncology 2022;16 View
- Afrash M, Mirbagheri E, Mashoufi M, Kazemi-Arpanahi H. Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study. BMC Medical Informatics and Decision Making 2023;23(1) View
- Isakov O, Riesel D, Leshchinsky M, Shaham G, Reis B, Keret D, Levi Z, Brener B, Balicer R, Dagan N, Hayek S. Development and Validation of a Colorectal Cancer Prediction Model: A Nationwide Cohort-Based Study. Digestive Diseases and Sciences 2024;69(7):2611 View
- Peduzzi G, Felici A, Pellungrini R, Campa D. Explainable machine learning identifies a polygenic risk score as a key predictor of pancreatic cancer risk in the UK Biobank. Digestive and Liver Disease 2024 View
Books/Policy Documents
- Sarac F. Explainable Machine Learning for Multimedia Based Healthcare Applications. View