HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management
Author:
Affiliation:
1. Rensselaer Polytechnic Institute,Department of Computer Science
2. Rensselaer Polytechnic Institute,Department of Mathematics
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10029378/10029381/10031170.pdf?arnumber=10031170
Reference22 articles.
1. Application of machine learning to epileptic seizure detection;shoeb;Proceedings of the 27th International Conference on Machine Learning (ICML-10),2010
2. Dynamic Prediction in Clinical Survival Analysis
3. Supervised Mixture Models for Population Health
4. A LSTM-RNN method for the lithuim-ion battery remaining useful life prediction
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