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Survey on Pain Detection Using Machine Learning Models: Narrative Review

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.

Ruijie Fang, Elahe Hosseini, Ruoyu Zhang, Chongzhou Fang, Setareh Rafatirad, Houman Homayoun

JMIR AI 2025;4:e53026

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Neural Network–Based Clinical Prediction System for Identifying the Clinical Effects of Saffron (Crocus sativus L) Supplement Therapy on Allergic Asthma: Model Evaluation Study

Neural Network–Based Clinical Prediction System for Identifying the Clinical Effects of Saffron (Crocus sativus L) Supplement Therapy on Allergic Asthma: Model Evaluation Study

Hosseini et al [9] showed that C sativus L significantly affected anti-HSP and hs-CRP factor serum levels . Moreover, they showed that it increased the pulmonary volumes FEV1, FVC, FEV1/FVC, and FEF25%-75% [9]. They also showed that there was no significant effect on the eosinophil count [18].

Seyed Ahmad Hosseini, Amir Jamshidnezhad, Marzie Zilaee, Behzad Fouladi Dehaghi, Abbas Mohammadi, Seyed Mohsen Hosseini

JMIR Med Inform 2020;8(7):e17580

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