Machine Learning for Healthcare Technologies [electronic resource]

상세정보

자료유형	e-Book
서명/저자사항	Machine Learning for Healthcare Technologies. [electronic resource].
개인저자	Clifton, David A.
발행사항	The Institution of Engineering and Technology, 2016.
형태사항	1 online resource (296 pages).
총서사항	Healthcare technologies ;2
기타형태 저록	Print version: Clifton, David A. Machine Learning for Healthcare Technologies. The Institution of Engineering and Technology, 2016 9781849199780 1849199787
ISBN	1849199795 9781849199797
내용주기	1. Machine learning for healthcare technologies -- an introduction / David A. Clifton; 2. Detecting artifactual events in vital signs monitoring data / Partha Lal, Christopher K.I. Williams, Konstantinos Georgatzis, Christopher Hawthorne, Paul McMonagle, Ian Piper and Martin Shaw; 3. Signal processing and feature selection preprocessing for classification in noisy healthcare data / Qiao Li, Chengyu Liu, Julien Oster and Gari D. Clifford; 4. ECG model-based Bayesian filtering / Julien Oster. 5. The power of tensor decompositions in biomedical applications / Borba?la Hunyadi, Sabine Van Huffel and Maarten De Vos6. Patient physiological monitoring with machine learning / Marco A.F. Pimentel and David A. Clifton; 7. A Bayesian model for fusing biomedical labels / Tingting Zhu, Gari D. Clifford and David A. Clifton; 8. Incorporating end-user preferences in predictive models / Suchi Saria and Daniel P. Robinson; 9. Variational Bayesian non-parametric inference for infectious disease models / James Hensman and Theodore Kypraios. 10. Predicting antibiotic resistance from genomic data / Yang Yang, Katherine E. Niehaus and David A. Clifton11. Machine learning for chronic disease / Katherine E. Niehaus and David A. Clifton; 12. Big data and optimisation of treatment strategies / Shamim Nemati and Mohammad M. Ghassemi; 13. Decision support systems for home monitoring applications: Classification of activities of daily living and epileptic seizures / Stijn Luca, Lode Vuegen, Hugo Van hamme, Peter Karsmakers and Bart Vanrumste; Index.
요약	This book brings together chapters on the state-of-the-art in machine learning (ML) as it applies to the development of patient-centred technologies, with a special emphasis on 'big data' and mobile data.
일반주제명	Medical innovations. Medical informatics. Machine learning. Medicine --Data processing. Biomedical Technology. HEALTH & FITNESS --Holism. HEALTH & FITNESS --Reference. MEDICAL --Alternative Medicine. MEDICAL --Atlases. MEDICAL --Essays. MEDICAL --Family & General Practice. MEDICAL --Holistic Medicine. MEDICAL --Osteopathy. Machine learning. Medical informatics. Medical innovations. Medicine --Data processing. Bayes methods. health care. learning (artificial intelligence) patient monitoring. physiological models.
분류기호(NLMC)	W 82
분류기호(DDC)	610.3
언어	영어
바로가기