Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics
(Bog, Hardback, Engelsk)
Forlag:
Taylor & Francis Ltd
- Type: Bog
- Format: Hardback
-
Sprog:
Engelsk
- ISBN-13: 9780367442392
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Beskrivelse
The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data.
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Alle detaljer
| Forlag | Taylor & Francis Ltd |
| Forfattere | Jose-Miguel Yamal, Ashraf Yaseen, Vahed Maroufy |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 16-12-2020 |
| Første udgivelsesår | 2020 |
| Serie | Chapman & Hall/CRC Healthcare Informatics Series |
| Illustrationer | 29 Tables, black and white; 72 Line drawings, black and white; 1 Halftones, black and white; 73 Illustrations, black and white |
| Fagredaktør | Hulin Wu, Jose Miguel Yamal, Ashraf Yaseen, Vahed Maroufy |
| Originalsprog | United Kingdom |
| Sideantal | 328 |
| Indbinding | Hardback |
| Forlag | Taylor & Francis Ltd |
| Sideoplysninger | 328 pages, 29 Tables, black and white; 72 Line drawings, black and white; 1 Halftones, black and whi |
| Mål | 162 x 242 x 25 |
| ISBN-13 / EAN-13 | 9780367442392 |