| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| MACHINE LEARNING FOR PRECISION MEDICINE |
 
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| IDENTIFYING DATA | 2022_23 | |||||||||||||||||
| Subject (*) | MACHINE LEARNING FOR PRECISION MEDICINE | Code | 17705109 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | ||||||||||||||
| 6 | Compulsory | First | 2Q |
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| Teaching | Modality by working group | Teaching language, timetables and exam dates | ||||||||||||||||
| Prerequisites | ||||||||||||||||||
| Department | Electronic, Electric and Automatic Engineering Computer Engineering and Mathematics |
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| Coordinator |
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aura.hernandez@urv.cat antoni.monleon@urv.cat debora.gil@urv.cat karim.lekadir@urv.cat polyxeni.gkontra@urv.cat pau.cano@urv.cat guillermoeduard.torres@urv.cat |
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| Lecturers |
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| Web | ||||||||||||||||||
| General description and relevant information |
- Learn about the fondamentals of machine learning and precision medicine - Learn a range of algorithms to build machine learning models from biomedical data - Learn about big data in biomedicine and healthcare - Apply machine learning techniques to address concrete tasks in medicine and healthcare, such as diagnosis, risk estimation, treatment planning and clinical decision support. |
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| (*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. | ||||||||||||||||||
