Analysis of healthcare data using machine learning
Dnr:
sens2020598
Type:
SNIC SENS
Principal Investigator:
Johan Sundström
Affiliation:
Uppsala universitet
Start Date:
2020-12-08
End Date:
2025-01-01
Primary Classification:
30303: Occupational Health and Environmental Health
Webpage:
Allocation
- Cygnus /proj/nobackup at UPPMAX: 3450 GiB
- Cygnus /proj at UPPMAX: 550 GiB
- Bianca at UPPMAX: 2 x 1000 core-h/month
Abstract
At the Anders Wiklöf Institute for Heart Research, located in the AI4Research lab, we are exploring the potential to use raw data from 800,000 ECGs obtained at emergency departments at multiple hospitals around Sweden for diagnosing life-threatening diseases that the human eye cannot currently use ECGs for.