Machine learning in medicine

• Verfasst von: Pfob, André [VerfasserIn]
• Verfasst von: Lu, Sheng-Chieh [VerfasserIn]
• Verfasst von: Sidey-Gibbons, Chris [VerfasserIn]
• Titel: Machine learning in medicine
• Titelzusatz: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison
• Verf.angabe: André Pfob, Sheng-Chieh Lu and Chris Sidey-Gibbons
• E-Jahr: 2022
• Jahr: 01 November 2022
• Umfang: 15 S.
• Fussnoten: Gesehen am 15.02.2023
• Titel Quelle: Enthalten in: BMC medical research methodology
• Ort Quelle: London : BioMed Central, 2001
• Jahr Quelle: 2022
• Band/Heft Quelle: 22(2022), Artikel-ID 282, Seite 1-15
• ISSN Quelle: 1471-2288
• DOI: doi:10.1186/s12874-022-01758-8
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Artificial intelligence
• Sach-SW: Guideline
• Sach-SW: Machine learning
• Sach-SW: Medicine
• K10plus-PPN: 1835715508

Abstract

There is growing enthusiasm for the application of machine learning (ML) and artificial intelligence (AI) techniques to clinical research and practice. However, instructions on how to develop robust high-quality ML and AI in medicine are scarce. In this paper, we provide a practical example of techniques that facilitate the development of high-quality ML systems including data pre-processing, hyperparameter tuning, and model comparison using open-source software and data.