Sample size determination for machine learning in medical research
Fuente:
arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866910864972447744 |
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| author | Arifin, Wan Nor Yaacob, Najib Majdi |
| author_facet | Arifin, Wan Nor Yaacob, Najib Majdi |
| contents | Machine learning (ML) methods are being increasingly used across various domains of medicine research. However, despite advancements in the use of ML in medicine, clear and definitive guidelines for determining sample sizes in medical ML research are lacking. This article proposes a method for determining sample sizes for medical research utilizing ML methods, beginning with the determination of the testing set sample size, followed with the determination of the training set and total sample sizes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_05809 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Sample size determination for machine learning in medical research Arifin, Wan Nor Yaacob, Najib Majdi Methodology Machine Learning Machine learning (ML) methods are being increasingly used across various domains of medicine research. However, despite advancements in the use of ML in medicine, clear and definitive guidelines for determining sample sizes in medical ML research are lacking. This article proposes a method for determining sample sizes for medical research utilizing ML methods, beginning with the determination of the testing set sample size, followed with the determination of the training set and total sample sizes. |
| title | Sample size determination for machine learning in medical research |
| topic | Methodology Machine Learning |
| url | https://arxiv.org/abs/2503.05809 |