| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| MACHINE LEARNING FOR PRECISION MEDICINE |
 
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| IDENTIFYING DATA | 2023_24 | |||||||||||||||||
| Subject (*) | MACHINE LEARNING FOR PRECISION MEDICINE | Code | 17705109 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 6 | Compulsory | First | 2Q |
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| Modality and teaching language | See working groups | |||||||||||||||||
| Prerequisites | ||||||||||||||||||
| Department | Electronic, Electric and Automatic Engineering Computer Engineering and Mathematics |
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| Coordinator |
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antoni.monleon@urv.cat debora.gil@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 fundamentals 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. This course is coordinated by the University of Barcelona (UB - Department of Mathematics and Computer Science) and the Autonomous University of Barcelona (UAB - Department of Computer Science) |
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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. | ||||||||||||||||||
