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Machine Learning for Healthcare Technologies
- Material Type
- 전자책
- n962412218
- Date and Time of Latest Transaction
- 20180104061802.2
- ISBN
- 1849199795 (electronic bk.)
- ISBN
- 9781849199797 (electronic bk.)
- ISBN
- 1849199787
- ISBN
- 9781849199780
- LC Callnumber
- RA418.5.M4
- DDC
- 610.3-23
- 소장사항
-
MAIN
- Author
- Clifton, David A.
- Title/Author
- Machine Learning for Healthcare Technologies
- Publish Info
- : The Institution of Engineering and Technology, 2016
- Material Info
- 1 online resource (296 pages).
- 총서명
- Healthcare technologies ; 2
- Formatted Contents Note
- 완전내용1. 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.
- Formatted Contents Note
- 완전내용5. The power of tensor decompositions in biomedical applications / Borbála 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.
- Formatted Contents Note
- 완전내용10. 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.
- Abstracts/Etc
- 요약This 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.
- Subject Added Entry-Topical Term
- Medical innovations
- Subject Added Entry-Topical Term
- Medical informatics
- Subject Added Entry-Topical Term
- Machine learning
- Subject Added Entry-Topical Term
- Medicine Data processing
- Subject Added Entry-Topical Term
- Biomedical Technology
- Subject Added Entry-Topical Term
- HEALTH & FITNESS Holism.
- Subject Added Entry-Topical Term
- HEALTH & FITNESS Reference.
- Subject Added Entry-Topical Term
- MEDICAL Alternative Medicine.
- Subject Added Entry-Topical Term
- MEDICAL Family & General Practice.
- Subject Added Entry-Topical Term
- MEDICAL Holistic Medicine.
- Subject Added Entry-Topical Term
- MEDICAL Osteopathy.
- Subject Added Entry-Topical Term
- Machine learning.
- Subject Added Entry-Topical Term
- Medical informatics.
- Subject Added Entry-Topical Term
- Medical innovations.
- Subject Added Entry-Topical Term
- Medicine Data processing.
- Subject Added Entry-Topical Term
- Bayes methods.
- Subject Added Entry-Topical Term
- health care.
- Subject Added Entry-Topical Term
- learning (artificial intelligence)
- Subject Added Entry-Topical Term
- patient monitoring.
- Subject Added Entry-Topical Term
- physiological models.
- Additional Physical Form Entry
- Print versionClifton, David A. Machine Learning for Healthcare Technologies. The Institution of Engineering and Technology, 2016 9781849199780 1849199787 (OCoLC)950950855
- Series Added Entry-Uniform Title
- Healthcare technologies series ; 2.
- Electronic Location and Access
- 링크정보보기
- Control Number
- yscl:139714
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