HIGHLIGHTS
- who: Bioinformatics and colleagues from the Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Applications, Ludwig-Maximilian University, Munich, Germany and Epigeny, St Ouen, France have published the research: dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning, in the Journal: (JOURNAL)
- what: The authors implement dsMTL as a library for R programming language building on DataSHIELD platform that supports federated analysis of sensitive individual-level data. Third the authors demonstrate applicability of dsMTL for comorbidity modeling in distributed data. The authors show that comorbidity . . .
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