| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| TEXT MINING FOR HEALTHCARE |
| Contents |
| IDENTIFYING DATA | 2023_24 |
| Subject | TEXT MINING FOR HEALTHCARE | Code | 17705118 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 3 | Compulsory | Second | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Topic | Sub-topic |
| Introduction to healthcare text mining | Overview |
| Preprocessing of healthcare text data | Tokenization, lemmatization, PoS-tagging, parsing |
| Named entity recognition and normalization | Types of medical entities, recognition/classification/identification, NERC methods. |
| Relation Extraction | Required information, ML approaches |
| Text Classification and Clustering | Text classification, clustering |
