PLA-44006 Health Analytics, 5 cr
Lisätiedot
The course is implemented in Pori but interested students from other study programs are also welcome. Lecture videos / course material will be available in electronic format and it is possible to do the exercises and workshops independently of time and place. Remote connection will also be offered for workshops and course project presentations.
Vastuuhenkilö
Pekka Ruusuvuori, Tarmo Lipping
Opetus
| Toteutuskerta | Periodi | Vastuuhenkilö | Suoritusvaatimukset |
| PLA-44006 2019-01 | 3 - 4 |
Tarmo Lipping Pekka Ruusuvuori |
Successful accomplishment of workshops, cours project and either learning diaries or exam |
Osaamistavoitteet
After passing the course, the student is familiar with the concept of clinical decision support systems and can apply this knowledge to specific health care environment. The student is familiar with the main types of health data, both structured and unstructured, as well as various health data exchange formats and principles. The student can assess knowledge bases of health data and has the skills to create new knowledge. The student can apply decision support technologies and machine learning algorithms to health data and evaluate produced results.
Sisältö
| Sisältö | Ydinsisältö | Täydentävä tietämys | Erityistietämys |
| 1. | Overview on decision support systems and technologies in healthcare; evaluation of decision support systems | ||
| 2. | Data sources, data management and data exchange in digital health systems | ||
| 3. | Knowledge bases in clinical decision support: expert knowledge and big data sources | ||
| 4. | Decision support technologies and machine learning in healthcare | ||
| 5. | Future trends in health analytics |
Oppimateriaali
| Tyyppi | Nimi | Tekijä | ISBN | URL | Lisätiedot | Tenttimateriaali |
| Lecture slides | No |
Vastaavuudet
Opintojakso ei vastaan mitään toista opintojaksoa