| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| COMPUTER-AIDED DIAGNOSIS AND DECISION MAKING |
 
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| IDENTIFYING DATA | 2023_24 | |||||||||||||||||
| Subject (*) | COMPUTER-AIDED DIAGNOSIS AND DECISION MAKING | Code | 17705116 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 4.5 | Compulsory | Second | 1Q |
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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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beatrizmaria.lopez@urv.cat rui.alves@urv.cat |
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| Lecturers |
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| Web | ||||||||||||||||||
| General description and relevant information |
Diagnostic techniques and computer-aided decision-making in medical applications. Approaches and techniques based on machine learning and artificial intelligence for decision making. Case studies at different levels: primary care, hospitals, geriatric care, and health resource management. This course is coordinated by Universitat de Girona (Department of Electrical, Electronics and Automation Engineering), in collaboration with Universitat de Lleida (Department of Basic Medical Sciences). |
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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. | ||||||||||||||||||
