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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
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€ 81,99
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Paredzamā piegāde . gada 21. aug. - . gada 4. sept.
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Advances of Machine Learning for Knowledge Mining in Electronic Health Records
The book explores the application of cutting-edge machine learning and deep learning algorithms in mining Electronic Health Records (EHR). With the aim of improving patient health management, this book explains the structure of EHR, consisting of demographics, medical history, and diagnosis.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2026. gada 21. jūnijs |
| ISBN13 | 9781032527819 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 270 |
| Izmēri | 150 × 220 × 10 mm · 530 g |
| Redaktors | Fathimal, P. Mohamed (Government Polytechnic College, India) |
| Redaktors | Kumar, T. Ganesh (Galgotias Uni.) |
| Redaktors | Lakshmi, Venkataraman |
| Redaktors | Loret, J. B. Shajilin (FX Engineering College, India) |
| Redaktors | T. I., Manish (SCMS School and Engg and Tech, India) |
