Computer-based Clustering of Chronic Fatigue Syndrome Patients (CCCFS)

About

Status:

Completed

Principal investigator:

Eva Untersmayr-Elsenhuber

Country:

Austria

Study start:

2021-03

Completion (planned):

2022-03

Last update:

2023-12-01

Research types:

Epidemiological research

Research areas:

General

Interventions:

Not applicable

Priv. Sector Partner:

Not available

Sponsors:

LBG Open Innovation in Science Center (LBG OIS Center)

Links

Project website

Other website

Project description

In this project, the investigators conduct research together with ME/CFS patients for ME/CFS patients. Due to the long path to a ME/CFS diagnosis, those affected are often true experts on their illness. Together with ME/CFS patients, scientists and doctors from various disciplines, the investigators aim to gather information about the disease using a detailed questionnaire.

The questionnaire is structured in such a way that it can be evaluated quantitatively, i.e. numerically. This enables the project team to have the evaluation carried out objectively by a computer. The collected data is subjected to a so-called cluster analysis in order to find groups among ME/CFS patients who have a similar course of the disease, received similar diagnoses and who respond to certain therapies. By doing so, the investigators want to connect lifestyle, symptoms, diagnostic markers and therapies in order to be able to support ME/CFS patients in obtaining their diagnosis and appropriate treatment more quickly in the future.

(Description adapted from project website: see link above)