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Using Real-Time Coronial Data to Detect Spatiotemporal Suicide Clusters : A Feasibility Study

2024 . Roberts, Leo | Clapperton, Angela | Dwyer, Jeremy | Spittal, Matthew

Cluster analysis of long COVID symptoms for deciphering a syndrome and its long-term consequence

2024 . Niewolik, Jacqueline | Mikuteit, M. | Klawitter, S. | Schröder, D. | Stölting, A. | Vahldiek, K. | Heinemann, S. | Müller, F. | Behrens, GMN. | Klawonn, F. | Dopfer-Jablonka, A. | Steffens, S.

Clustering care pathways of people with alcohol dependence using a data linkage of routine data in Bremen, Germany

2024 . Möckl, Justin | Manthey, Jakob | Murawski, Monika | Lindemann, Christina | Schulte, Bernd | Reimer, Jens | Pogarell, Oliver | Kraus, Ludwig

Dealing with the challenges of the pandemic – results of a population-based survey during the second year of the COVID-19 pandemic contrasting benefits and burden

2024 . Geprägs, Alina | Bürgin, David | Fegert, Jörg M. | Brähler, Elmar | Clemens, Vera

Brain Evoked Response Qualification Using Multi-Set Consensus Clustering: Toward Single-Trial EEG Analysis

2024 . Mahini, Reza | Zhang, Guanghui | Parviainen, Tiina | Düsing, Rainer | Nandi, Asoke K. | Cong, Fengyu | Hämäläinen, Timo

Identification and validation of gestational diabetes subgroups by data-driven cluster analysis

2024 . Salvatori, Benedetta | Wegener, Silke | Kotzaeridi, Grammata | Herding, Annika | Eppel, Florian | Dressler-Steinbach, Iris | Henrich, Wolfgang | Piersanti, Agnese | Morettini, Micaela | Tura, Andrea | Göbl, Christian

Subtypes of cognitive impairment in cerebellar disease identified by cross-diagnostic cluster-analysis: results from a German multicenter study

Ecological momentary assessment (EMA) combined with unsupervised machine learning shows sensitivity to identify individuals in potential need for psychiatric assessment

2023 . Wenzel, Julian | Dreschke, Nils | Hanssen, Esther | Rosen, Marlene | Ilankovic, Andrej | Kambeitz, Joseph | Fett, Anne-Kathrin | Kambeitz-Ilankovic, Lana

Chronische Kreuzschmerzen – Nutzertypen ambulanter Versorgung

2021 . Daniel, T. | Koetsenruijter, J. | Wensing, M. | Wronski, P.

Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features

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