Generating artificial patient data
About Generating artificial patient data
- Contact person: has supervisor::Annette ten Teije
- Contact person: has supervisor::Zhisheng Huang
- This project has not yet been fulfilled.
- This project fits in the following Bachelor programs: {{#arraymap:Lifestyle Informatics|, |xXx|bachelorproject within::xXx|,}}
- This project fits in the following masterareas: {{#arraymap:Human Ambience, Technical Artificial Intelligence, Knowledge Technology and Intelligent Internet Applications|, |xXx|project within::xXx|,}}
Description
Access to large volumes of patient data is crucial for many research projects in medical applications of AI. However, it is often difficult to get access to such data, because of privacy restrictions and organisational barriers. In such cases, artificially generated patient data is a plausible replacement for real patient data, assuming that the artificial data is sufficiently similar to real data. We have built an artificial patient data generator, that uses knowledge about probability distributions of symptoms, diseases and patient characteristics to generate large cohorts of realistic patient data. In ths project, you will extend the functionality of the patient-data generator to cover wider application scenarios, and to generate realistic patient cohorts with psychiatric conditions (Smart Ward). Your work will contribute to ongoing research projects in Amsterdam and Beijing.
Supervisors: Zhisheng Huang and Annette ten Teije
