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Total 695 results found since Jan 2013.
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events
CONCLUSION: The developed risk prediction models achieved an excellent performance in the test data. Future research is needed to determine the performance of these models and their clinical benefit in prospective settings.PMID:33965930 | DOI:10.3233/SHTI210100
Source: Studies in Health Technology and Informatics - May 9, 2021 Category: Information Technology Authors: Michael Schrempf Diether Kramer Stefanie Jauk Sai P K Veeranki Werner Leodolter Peter P Rainer Source Type: research
A Design Method of Tele-Rehabilitation Platforms for Post-Stroke Patients Based on Consumer Technology
CONCLUSION: the presented method allowed the development of a clinical knowledge-based web platform for post-stroke patients totally based on consumer technology.PMID:33965918 | DOI:10.3233/SHTI210088
Source: Studies in Health Technology and Informatics - May 9, 2021 Category: Information Technology Authors: Alberto Arrigoni Michele Cumetti Andrea Greco Luca Soliveri Andrea Vitali Source Type: research
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events
CONCLUSION: The developed risk prediction models achieved an excellent performance in the test data. Future research is needed to determine the performance of these models and their clinical benefit in prospective settings.PMID:33965930 | DOI:10.3233/SHTI210100
Source: Studies in Health Technology and Informatics - May 9, 2021 Category: Information Technology Authors: Michael Schrempf Diether Kramer Stefanie Jauk Sai P K Veeranki Werner Leodolter Peter P Rainer Source Type: research
A Design Method of Tele-Rehabilitation Platforms for Post-Stroke Patients Based on Consumer Technology
CONCLUSION: the presented method allowed the development of a clinical knowledge-based web platform for post-stroke patients totally based on consumer technology.PMID:33965918 | DOI:10.3233/SHTI210088
Source: Studies in Health Technology and Informatics - May 9, 2021 Category: Information Technology Authors: Alberto Arrigoni Michele Cumetti Andrea Greco Luca Soliveri Andrea Vitali Source Type: research
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events
CONCLUSION: The developed risk prediction models achieved an excellent performance in the test data. Future research is needed to determine the performance of these models and their clinical benefit in prospective settings.PMID:33965930 | DOI:10.3233/SHTI210100
Source: Studies in Health Technology and Informatics - May 9, 2021 Category: Information Technology Authors: Michael Schrempf Diether Kramer Stefanie Jauk Sai P K Veeranki Werner Leodolter Peter P Rainer Source Type: research
A Design Method of Tele-Rehabilitation Platforms for Post-Stroke Patients Based on Consumer Technology
CONCLUSION: the presented method allowed the development of a clinical knowledge-based web platform for post-stroke patients totally based on consumer technology.PMID:33965918 | DOI:10.3233/SHTI210088
Source: Studies in Health Technology and Informatics - May 9, 2021 Category: Information Technology Authors: Alberto Arrigoni Michele Cumetti Andrea Greco Luca Soliveri Andrea Vitali Source Type: research
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events
CONCLUSION: The developed risk prediction models achieved an excellent performance in the test data. Future research is needed to determine the performance of these models and their clinical benefit in prospective settings.PMID:33965930 | DOI:10.3233/SHTI210100
Source: Studies in Health Technology and Informatics - May 9, 2021 Category: Information Technology Authors: Michael Schrempf Diether Kramer Stefanie Jauk Sai P K Veeranki Werner Leodolter Peter P Rainer Source Type: research
A Design Method of Tele-Rehabilitation Platforms for Post-Stroke Patients Based on Consumer Technology
CONCLUSION: the presented method allowed the development of a clinical knowledge-based web platform for post-stroke patients totally based on consumer technology.PMID:33965918 | DOI:10.3233/SHTI210088
Source: Studies in Health Technology and Informatics - May 9, 2021 Category: Information Technology Authors: Alberto Arrigoni Michele Cumetti Andrea Greco Luca Soliveri Andrea Vitali Source Type: research
