- Impact of the Choice of Cross-Validation Techniques on the Results of Machine Learning-Based Diagnostic Applications
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Tougui I, Jilbab A, Mhamdi JE
- KMID: 2519035
- Healthc Inform Res.
- 2021 Jul;27(3):189-199.
- doi: 10.4258/hir.2021.27.3.189
Objectives: With advances in data availability and computing capabilities, artificial intelligence and machine learning technologies have evolved rapidly in recent years. Researchers have taken advantage of these developments in healthcare... -
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- Machine Learning Smart System for Parkinson Disease Classification Using the Voice as a Biomarker
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Tougui I, Jilbab A, Mhamdi JE
- KMID: 2532448
- Healthc Inform Res.
- 2022 Jul;28(3):210-221.
- doi: 10.4258/hir.2022.28.3.210
Objectives: This study presents PD Predict, a machine learning system for Parkinson disease classification using voice as a biomarker. Methods: We first created an original set of recordings from the... -
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- Analysis of Smartphone Recordings in Time, Frequency, and Cepstral Domains to Classify Parkinson’s Disease
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Tougui I, Jilbab A, Mhamdi JE
- KMID: 2508619
- Healthc Inform Res.
- 2020 Oct;26(4):274-283.
- doi: 10.4258/hir.2020.26.4.274
Objectives: Parkinson’s disease (PD) is the second most common neurodegenerative disorder; it affects more than 10 million people worldwide. Detecting PD usually requires a professional assessment by an expert, and... -
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