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Survey on Pain Detection Using Machine Learning Models: Narrative Review
Hosseini et al [85] used a pretrained Res Net-18 model on the large emotion recognition dataset FER+ [86] and used transfer learning techniques to improve accuracy and performance. Huang et al [87] proposed a pain-awareness multistream CNN approach for feature extraction, focusing on specific regions most relevant to pain expression instead of entire face images.
JMIR AI 2025;4:e53026
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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach
JMIR Form Res 2025;9:e67969
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Early Warning Systems for Acute Respiratory Infections: Scoping Review of Global Evidence
JMIR Public Health Surveill 2024;10:e62641
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Exploring Machine Learning Applications in Pediatric Asthma Management: Scoping Review
JMIR AI 2024;3:e57983
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