Maryam Khodaei Dolouei
LHA ID: 8X22H8WRQV-9
Location:
Germany
ORCID:
https://orcid.org/0009-0002-3367-4979
Joined: 25th Sep 2025
Expertise: Data Science, Python, machine learning, r, medical informatics
Tools: Not specified
Their tagsRelated items
Rare diseases (RD) occur with a prevalence of less than 1:2,000 persons (EU definition). More than 8,000 RD are known, often genetically determined. Due to their rare occurrence, the RD are often not diagnosed at all, incorrectly or with a long delay diagnosed. Medical experts are mainly involved in selected Centers for Rare Diseases available.The goal of the LEUKO-Expert project is to establish an expert system for the diagnostic support of RD Leukodystrophy and to evaluate it within the scope ...
Programme: Medical Data Science
Public web page: https://leukoexpert.hs-mittweida.de/de/home-deutsch/
Start date: 1st Oct 2020
End date: 10th Feb 2024
​Welcome to the Department for Medical Data Sciences at the University Medical Center in Leipzig. We are an interdisciplinary team focusing on medical data sciences in order to increase the value for the patients. In this way, we are mainly working with medical data. Our focus is twofold. On the one hand, we are working on different facets of computing infrastructures allowing us to prepare and analyze medical data, such as for distributed computing. Secondly, we focus on the analysis of medical ...
Projects: DiaClusT, Synthetica: generation and evaluation of synthetic data, Prediction model of Length of Stay and probability of rehospitalization, LEUKO-EXPERT
Web page: https://www.uniklinikum-leipzig.de/einrichtungen/medical-data-science/en/team
