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Data Driven Science for Clinically Actionable Knowledge in Diseases - Analytics and AI for Healthcare
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Data Driven Science for Clinically Actionable Knowledge in Diseases - Analytics and AI for Healthcare
Computational and visual analytics enables effective exploration and sense making of large and complex data through the deployment of appropriate data science methods, meaningful visualization and human-information interaction.
282 pages, 25 Tables, black and white; 38 Line drawings, black and white; 21 Halftones, black and wh
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2023. gada 6. decembris |
| ISBN13 | 9781032273518 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 236 |
| Izmēri | 234 × 156 × 18 mm · 392 g |
| Valoda | Angļu |
| Redaktors | Catchpoole, Daniel (The Children's Hospital at West Mead) |
| Redaktors | Kennedy, Paul (University of Technology, Sydney) |
| Redaktors | Nguyen, Quang Vinh (Western Sydney University) |
| Redaktors | Simoff, Simeon (Western Sydney University) |
