Section outline
-
- Jenna Wiens, John Guttag, Eric Horvitz, Patient Risk Stratification with Time-Varying Parameters: A Multitask Learning Approach, JMLR 2016, PDF
- Tim Smolem et atl, A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy, Computers in Biology and Medicine, 2021, PDF
- Ping Wang, Yan Li, and Chandan K. Reddy. 2019. Machine Learning for Survival Analysis: A Survey. ACM Comput. Surv. 51, 6, Article 110, 2019, Arxiv
- David G. Kleinbaum , Mitchel Klein, Survival Analysis, A Self-Learning Text, 2005, Online
- Dimitris Bertsimas, Jack Dunn, Emma Gibson, Agni Orfanoudak, Machine learning, 2022, PDF
- S. Chen, W. Guo, Auto-Encoders in Deep Learning—A Review with New Perspectives, Mathematics, 2023, Online
- D. Pratella et al, A Survey of Autoencoder Algorithms to Pave the Diagnosis of Rare Diseases, Int. J. Mol. Sci.. 2021, Online
- Jan Ehrhardt, Matthias Wilms, Autoencoders and variational autoencoders in medical image analysis, MICCAI Society book Series, Online
- Manuel Cossio, Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis, 2023, Arxiv
- Pooya Mobadersany et al, Predicting cancer outcomes from histology and genomics using convolutional networks, PNAS 2017, Online
- Jun ma et al, Segment anything in medical images, Nature 2024, Online