Hypertension prediction in adolescents using anthropometric measurements: Do machine learning models perform equally well?
The use of anthropometric measurements in machine learning algorithms for hypertension prediction enables the development of simple, non-invasive prediction models. However, different machine learning algorithms were utilized in conjunction with various anthropometric data, either alone or in combin...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
MDPI AG, Basel, Switzerland
2022
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/32758/1/Hypertension%20prediction%20in%20adolescents%20using%20anthropometric%20measurements%2C%20Do%20machine%20learning%20models%20perform%20equally%20well.ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32758/2/Hypertension%20Prediction%20in%20Adolescents%20Using%20Anthropometric%20Measurements%2C%20Do%20Machine%20Learning%20Models%20Perform%20Equally%20Well.pdf |