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Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics - Chapman & Hall / CRC Healthcare Informatics Series
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Statistics and Machine Learning Methods for EHR Data: From Data Extraction to Data Analytics - Chapman & Hall / CRC Healthcare Informatics Series
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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 1. augusts |
| ISBN13 | 9780367638399 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 313 |
| Izmēri | 234 × 155 × 25 mm · 502 g |
| Valoda | Angļu |
| Redaktors | Maroufy, Vahed |
| Redaktors | Wu, Hulin |
| Redaktors | Yamal, Jose Miguel |
| Redaktors | Yaseen, Ashraf |
