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Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus.

, , , , , и . DSAA, стр. 1-10. IEEE, (2021)

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Ismael Puga

Mario Clara

Irina Pugach

Stanislav Pugach

Anton Pugatschow

 

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A cost-based multi-layer network approach for the discovery of patient phenotypes, , , и . International Journal of Data Science and Analytics, (июля 2023)The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT), , , , , , , , , и 31 other автор(ы). Trials, 24 (1): 472 (2023)Towards a unification of treatments and interventions for tinnitus patients: The EU research and innovation action UNITI, , , , , , , , , и 70 other автор(ы). 260, стр. 441-451. Elsevier, (2021)Juxtaposing Medical Centers Using Different Questionnaires Through Score Predictors, , , , , , , , , и 1 other автор(ы). Frontiers in Neuroscience, (марта 2022)Using Big Data to Develop a Clinical Decision Support System for Tinnitus Treatment, , , , , , , , , и 9 other автор(ы). стр. 175-189. Springer International Publishing, Cham, (2021)Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus., , , , , и . DSAA, стр. 1-10. IEEE, (2021)A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data., , , , , , и . IDA, том 13876 из Lecture Notes in Computer Science, стр. 459-471. Springer, (2023)Training and Validating a Treatment Recommender with Partial Verification Evidence., , , , , , , , , и 4 other автор(ы). CoRR, (2024)Leveraging the potential of multi-layer networks for subgroup discovery.. Otto-von-Guericke University Magdeburg, Germany, (2024)A cost-based multi-layer network approach for the discovery of patient phenotypes., , , и . CoRR, (2022)