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Preliminary Materials

Autor: Schrempf, M., author

Publikováno v: Soundings in Tibetan Medicine: Anthropological and Historical Perspectives. 10/10:i-vi

Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretability.

Autor: Shimizu GY; Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil., Schrempf M; Predicting Health GmbH, Graz, Austria.; Division of Cardiology, Medical University of Graz, Graz, Austria., Romão EA; Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil., Jauk S; Steiermärkische Krankenanstaltengesellschaft m. b. H., Graz, Austria.; Predicting Health GmbH, Graz, Austria., Kramer D; Steiermärkische Krankenanstaltengesellschaft m. b. H., Graz, Austria.; Predicting Health GmbH, Graz, Austria., Rainer PP; Medical University of Graz, Graz, Austria., Cardeal da Costa JA; Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil., de Azevedo-Marques JM; Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil., Scarpelini S; Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil., Suzuki KMF; Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil., César HV; Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil., de Azevedo-Marques PM; Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.

Publikováno v: PloS one [PLoS One] 2024 Oct 11; Vol. 19 (10), pp. e0311719. Date of Electronic Publication: 2024 Oct 11 (Print Publication: 2024).

Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study.

Autor: Kramer D; Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.; PH Predicting Health GmbH, Graz, Austria., Jauk S; Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.; PH Predicting Health GmbH, Graz, Austria., Veeranki S; Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.; PH Predicting Health GmbH, Graz, Austria., Schrempf M; PH Predicting Health GmbH, Graz, Austria.; Medical University of Graz, Graz, Austria., Traub J; Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria., Kugel E; Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria., Prisching A; Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria., Domnanich S; Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria., Leopold M; Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria., Krisper P; Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.; Medical University of Graz, Graz, Austria., Sendlhofer G; Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.; Medical University of Graz, Graz, Austria.

Publikováno v: Studies in health technology and informatics [Stud Health Technol Inform] 2024 Apr 26; Vol. 313, pp. 156-157.

Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory Data.

Autor: Gutheil J; Joanneum Research Forschungsgesellschaft mbH, Graz, Austria., Stampfer P; Joanneum Research Forschungsgesellschaft mbH, Graz, Austria., Kramer D; PH Predicting Health GmbH, Graz, Austria.; Steiermärkische Krankenanstaltengesellschaft mbH, Graz, Austria., Wechselberger M; Joanneum Research Forschungsgesellschaft mbH, Graz, Austria., Veeranki SPK; PH Predicting Health GmbH, Graz, Austria.; Steiermärkische Krankenanstaltengesellschaft mbH, Graz, Austria., Schrempf M; PH Predicting Health GmbH, Graz, Austria.; Steiermärkische Krankenanstaltengesellschaft mbH, Graz, Austria., Mrak P; Steiermärkische Krankenanstaltengesellschaft mbH, Graz, Austria., Aubel M; Joanneum Research Forschungsgesellschaft mbH, Graz, Austria., Feichtner F; Joanneum Research Forschungsgesellschaft mbH, Graz, Austria.

Publikováno v: Studies in health technology and informatics [Stud Health Technol Inform] 2023 May 02; Vol. 301, pp. 212-219.