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▼a 962325041
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▼z 9781849199780 |
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▼a 610.3
▼2 23 |
| 100 | 1 |
▼a Clifton, David A. |
| 245 | 10 |
▼a Machine Learning for Healthcare Technologies. |
| 260 | |
▼b The Institution of Engineering and Technology,
▼c 2016. |
| 300 | |
▼a 1 online resource (296 pages). |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
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| 338 | |
▼a online resource
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▼a Healthcare technologies;
▼v 2 |
| 505 | 0 |
▼a 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. |
| 505 | 8 |
▼a 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. |
| 505 | 8 |
▼a 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. |
| 520 | |
▼a 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. |
| 588 | 0 |
▼a Print version record. |
| 590 | |
▼a eBooks on EBSCOhost
▼b All EBSCO eBooks |
| 650 | 0 |
▼a Medical innovations. |
| 650 | 0 |
▼a Medical informatics. |
| 650 | 0 |
▼a Machine learning. |
| 650 | 0 |
▼a Medicine
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| 650 | 7 |
▼a HEALTH & FITNESS
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▼a HEALTH & FITNESS
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▼a MEDICAL
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| 650 | 7 |
▼a MEDICAL
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▼2 bisacsh |
| 650 | 7 |
▼a MEDICAL
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▼2 bisacsh |
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▼a MEDICAL
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▼a MEDICAL
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▼2 bisacsh |
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▼a MEDICAL
▼x Osteopathy.
▼2 bisacsh |
| 650 | 7 |
▼a Machine learning.
▼2 fast
▼0 (OCoLC)fst01004795 |
| 650 | 7 |
▼a Medical informatics.
▼2 fast
▼0 (OCoLC)fst01014175 |
| 650 | 7 |
▼a Medical innovations.
▼2 fast
▼0 (OCoLC)fst01014181 |
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▼a Medicine
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▼0 (OCoLC)fst01014924 |
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▼a Bayes methods.
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| 650 | 7 |
▼a health care.
▼2 inspect |
| 650 | 7 |
▼a learning (artificial intelligence)
▼2 inspect |
| 650 | 7 |
▼a patient monitoring.
▼2 inspect |
| 650 | 7 |
▼a physiological models.
▼2 inspect |
| 650 | 2 |
▼a Biomedical Technology. |
| 655 | 4 |
▼a Electronic books. |
| 776 | 08 |
▼i Print version:
▼a Clifton, David A.
▼t Machine Learning for Healthcare Technologies.
▼d The Institution of Engineering and Technology, 2016
▼z 9781849199780
▼z 1849199787
▼w (OCoLC)950950855 |
| 830 | 0 |
▼a Healthcare technologies series ;
▼v 2. |
| 856 | 40 |
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1413233 |
| 938 | |
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▼a ProQuest MyiLibrary Digital eBook Collection
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