Machine learning for healthcare technologies /
Saved in:
| Imprint: | London : The Institution of Engineering and Technology, 2016. ©2017 |
|---|---|
| Description: | 1 online resource (296 pages) |
| Language: | English |
| Series: | Healthcare technologies ; 2 Healthcare technologies series ; 2. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11408178 |
MARC
| LEADER | 00000cam a2200000Ii 4500 | ||
|---|---|---|---|
| 001 | 11408178 | ||
| 005 | 20210426223153.4 | ||
| 006 | m o d | ||
| 007 | cr cn||||||||| | ||
| 008 | 161111t20162017enka ob 000 0 eng d | ||
| 019 | |a 962325041 |a 970389366 |a 970613635 |a 992566698 | ||
| 020 | |a 9781849199797 |q (electronic bk.) | ||
| 020 | |a 1849199795 |q (electronic bk.) | ||
| 020 | |z 9781849199780 | ||
| 020 | |z 1849199787 | ||
| 035 | |a (OCoLC)962412218 |z (OCoLC)962325041 |z (OCoLC)970389366 |z (OCoLC)970613635 |z (OCoLC)992566698 | ||
| 035 | 9 | |a (OCLCCM-CC)962412218 | |
| 037 | |a 968915 |b MIL | ||
| 040 | |a IDEBK |b eng |e rda |e pn |c IDEBK |d YDX |d EBLCP |d OCLCQ |d IDEBK |d OCLCO |d MERUC |d STF |d UIU |d OCLCF |d N$T |d OCLCQ |d OTZ |d CHVBK |d OCLCO |d OCLCQ |d OCLCO |d OCLCQ |d AGLDB |d BUF |d SNK |d DKU |d AUW |d IGB |d D6H |d VTS |d INT |d OCLCQ |d WYU |d OCLCQ |d G3B |d S8J |d S9I |d OCLCQ |d CUV |d OCLCO |d UKAHL |d OCLCQ |d OCLCA |d OCLCQ | ||
| 049 | |a MAIN | ||
| 050 | 4 | |a RA418.5.M4 | |
| 060 | 4 | |a W 26.55.A7 | |
| 072 | 7 | |a HEA |x 012000 |2 bisacsh | |
| 072 | 7 | |a HEA |x 020000 |2 bisacsh | |
| 072 | 7 | |a MED |x 004000 |2 bisacsh | |
| 072 | 7 | |a MED |x 101000 |2 bisacsh | |
| 072 | 7 | |a MED |x 109000 |2 bisacsh | |
| 072 | 7 | |a MED |x 029000 |2 bisacsh | |
| 072 | 7 | |a MED |x 040000 |2 bisacsh | |
| 072 | 7 | |a MED |x 092000 |2 bisacsh | |
| 245 | 0 | 0 | |a Machine learning for healthcare technologies / |c edited by David A. Clifton. |
| 264 | 1 | |a London : |b The Institution of Engineering and Technology, |c 2016. | |
| 264 | 4 | |c ©2017 | |
| 300 | |a 1 online resource (296 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Healthcare technologies ; |v 2 | |
| 588 | 0 | |a Print version record. | |
| 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 / 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. | |
| 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. | ||
| 650 | 0 | |a Medical innovations. |0 http://id.loc.gov/authorities/subjects/sh85082946 | |
| 650 | 0 | |a Medical informatics. |0 http://id.loc.gov/authorities/subjects/sh89005069 | |
| 650 | 0 | |a Machine learning. |0 http://id.loc.gov/authorities/subjects/sh85079324 | |
| 650 | 0 | |a Medicine |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85083074 | |
| 650 | 1 | 2 | |a Machine Learning. |
| 650 | 1 | 2 | |a Biomedical Technology. |
| 650 | 2 | 2 | |a Models, Theoretical. |
| 650 | 7 | |a HEALTH & FITNESS |x Holism. |2 bisacsh | |
| 650 | 7 | |a HEALTH & FITNESS |x Reference. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Alternative Medicine. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Atlases. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Essays. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Family & General Practice. |2 bisacsh | |
| 650 | 7 | |a MEDICAL |x Holistic Medicine. |2 bisacsh | |
| 650 | 7 | |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 | |
| 650 | 7 | |a Medicine |x Data processing. |2 fast |0 (OCoLC)fst01014924 | |
| 650 | 7 | |a Bayes methods. |2 inspect | |
| 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 | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Clifton, David A., |e editor. | |
| 776 | 0 | 8 | |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. |0 http://id.loc.gov/authorities/names/n2016190255 | |
| 903 | |a HeVa | ||
| 929 | |a oclccm | ||
| 999 | f | f | |i 0dfe1f47-1d92-5822-81d0-e743b87d5c84 |s e869043b-a269-5988-844f-3e4162da6717 |
| 928 | |t Library of Congress classification |a RA418.5.M4 |l Online |c UC-FullText |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=e000xna&AN=1413233 |z eBooks on EBSCOhost |g ebooks |i 12445720 | ||