| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| COMPUTER-AIDED DIAGNOSIS AND DECISION MAKING |
| Contents |
| IDENTIFYING DATA | 2023_24 |
| Subject | COMPUTER-AIDED DIAGNOSIS AND DECISION MAKING | Code | 17705116 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Compulsory | Second | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Topic | Sub-topic |
| Introduction | Overview of techniques, application fields in medical areas. Diagnosis and Healthcare models history. |
| Computer assisted diagnosis. | Computer assisted diagnosis under traditional Healthcare and Medicine. Computer assisted diagnosis for 4P Medicine Computer assisted diagnosis under new Healthcare, decentralized models. Digital twins |
| Decision support systems | Intelligent decision making for supporting diagnosis: optimizing resources and services Recommender systems: supporting clinical decision making for managing medical evidence in diagnosis Empowering patients for better medicine outcomes Machine learning to close the loop between medical evidence and diagnosis |
| Study cases | Monitoring systems: monitoring babies at home. Falling detection systems. EEG and mental health. Managing diseases: multi-comorbidity patients, tobacco quitting patients, patients with high blood pressure Medical evidence: Use of literature to best ADHD treatment Resource management: prioritize patient attendance in ICUs Others: Decision systems for initial diagnosis of rare diseases. |
