Thesis icon

Thesis

Individualized data generation for electronic health records

Abstract:

Personalized medicine is emerging as a new direction of research, in which patients are holistically examined as “individuals” rather than using symptoms or diagnoses based on the general population to determine the optimal treatment Electronic health records (EHRs) have opened the door to longitudinal data from real-world patients for a wide range of research, such as the creation of clinical decision support systems for different medical applications. Furthermore, the wealth of data collect...

Expand abstract

Actions

Access Document

Files:

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author

Contributors

Role:
Supervisor
ORCID:
0000-0002-1552-5630


DOI:
Type of award:
DPhil
Awarding institution:
University of Oxford


Language:
English
Keywords:
Pubs id:
2301537
Local pid:
pubs:2301537
Deposit date:
2025-10-03
ARK identifier:

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP