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Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics - Chapman & Hall / CRC Healthcare Informatics Series Jose-Miguel Yamal 1. izdevums
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Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics - Chapman & Hall / CRC Healthcare Informatics Series
Jose-Miguel Yamal
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.
313 pages, 72 Line drawings, black and white; 1 Halftones, black and white; 29 Tables, black and whi
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2020. gada 16. decembris |
| ISBN13 | 9780367442392 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 328 |
| Izmēri | 242 × 162 × 25 mm · 638 g |
| Valoda | Angļu |
| Redaktors | Maroufy, Vahed |
| Redaktors | Wu, Hulin |
| Redaktors | Yamal, Jose Miguel |
| Redaktors | Yaseen, Ashraf |
