Evaluation of the accuracy of an artificial intelligence in identifying contraindications to exercise therapy - Comparison with and interrater reliability of physical therapists judgments (English)
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- New search for: Annika, Griefahn
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In:
Health and Technology
: jointly published by Springer and the IUPESM in cooperation with the World Health Organization
;
14
, 3
;
513-522
;
2024
- Article (Journal) / Electronic Resource
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Title:Evaluation of the accuracy of an artificial intelligence in identifying contraindications to exercise therapy - Comparison with and interrater reliability of physical therapists judgments
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Additional title:Health Technol.
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Contributors:
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Published in:Health and Technology : jointly published by Springer and the IUPESM in cooperation with the World Health Organization ; 14, 3 ; 513-522
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Publisher:
- New search for: Springer Berlin Heidelberg
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Place of publication:Berlin/Heidelberg
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Publication date:2024-05-01
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Size:10 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 14, Issue 3
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 417
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Artificial intelligence in the treatment of cancer: Changing patterns, constraints, and prospectsAli, Mohammad / Wani, Shahid Ud Din / Dey, Tathagata / Mehdi, Seema et al. | 2024
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Identifying future high healthcare utilization in patients with multimorbidity – development and internal validation of machine learning prediction models using electronic health record dataWeil, Liann I. / Zwerwer, Leslie R. / Chu, Hung / Verhoeff, Marlies / Jeurissen, Patrick P.T. / van Munster, Barbara C. et al. | 2024
- 451
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Architectural solutions for improving transparency, data quality, and security in eHealth systems by designing and adding blockchain modules, while maintaining interoperability: the eHDSI network caseTerzi, Sofia / Stamelos, Ioannis et al. | 2024
- 463
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Dr. GPT will see you now: the ability of large language model-linked chatbots to provide colorectal cancer screening recommendationsHuo, Bright / McKechnie, Tyler / Ortenzi, Monica / Lee, Yung / Antoniou, Stavros / Mayol, Julio / Ahmed, Hassaan / Boudreau, Vanessa / Ramji, Karim / Eskicioglu, Cagla et al. | 2024
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An improved machine learning-based prediction framework for early detection of events in heart failure patients using mHealthKumar, Deepak / Balraj, Keerthiveena / Seth, Sandeep / Vashista, Shivani / Ramteke, Manojkumar / Rathore, Anurag S. et al. | 2024
- 513
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Evaluation of the accuracy of an artificial intelligence in identifying contraindications to exercise therapy - Comparison with and interrater reliability of physical therapists judgmentsAnnika, Griefahn / Christoff, Zalpour / Kerstin, Luedtke et al. | 2024
- 523
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Impact of national recognition on medical physicist job positions in Indonesia: survey study from 2015–2021Pawiro, Supriyanto Ardjo / Lubis, Lukmanda Evan / Hariyati, Ika / Lestarinigsih, Indah / Soejoko, Djarwani Soeharso et al. | 2024
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Utility of GAN generated synthetic data for cardiovascular diseases mortality prediction: an experimental studyKhan, Shahzad Ahmed / Murtaza, Hajra / Ahmed, Musharif et al. | 2024
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