가야대학교 분성도서관
주메뉴
자료검색
- Home
- 상세정보
상세정보
부가기능
Machine Learning for Healthcare Technologies
상세 프로파일
| 자료유형 | E-Book |
|---|---|
| 개인저자 | Clifton, David A. |
| 서명/저자사항 | Machine Learning for Healthcare Technologies. |
| 발행사항 | The Institution of Engineering and Technology, 2016. |
| 형태사항 | 1 online resource (296 pages). |
| 총서사항 | Healthcare technologies ;2 |
| 소장본 주기 | eBooks on EBSCOhostAll EBSCO eBooks |
| 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. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Clifton, David A.Machine Learning for Healthcare Technologies.The Institution of Engineering and Technology, 201697818491997801849199787 |
| 대출바로가기 | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1413233 |
소장정보
- 소장정보
인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00011162 | 610.3 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
|
카피라이터
