Applying machine learning to continuously monitored physiological data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Anesthesiology and Pain Medicine,Critical Care and Intensive Care Medicine,Health Informatics
Link
http://link.springer.com/content/pdf/10.1007/s10877-018-0219-z.pdf
Reference30 articles.
1. Obermeyer Z, Emanuel EJ. Predicting the future—big data, machine learning, and clinical medicine. N Engl J Med. 2016;375:1216–9.
2. Obermeyer Z, Lee TH. Lost in thought—the limits of the human mind and the future of medicine. N Engl J Med. 2017;377:1209–11.
3. Chen JH, Asch SM. Machine learning and prediction in medicine - beyond the peak of inflated expectations. N Engl J Med. 2017;376:2507–9.
4. Wang S-L, Wu F, Wang B-H. Prediction of severe sepsis using SVM model. Adv Exp Med Biol. 2010;680:75–81.
5. Desautels T, Calvert J, Hoffman J, Jay M, Kerem Y, Shieh L, et al. Prediction of sepsis in the intensive care unit with minimal electronic health record data: a machine learning approach. JMIR Med Informatics. 2016;4:e28.
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