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Machine Learning for Healthcare Technologies
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | Machine Learning for Healthcare Technologies. |
| 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 / Borb?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. 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. Biomedical Technology. |
| 언어 | 영어 |
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