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A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

A Machine Learning Approach to Differentiate Cold and Hot Syndrome in Viral Pneumonia Integrating Traditional Chinese Medicine and Modern Medicine: Machine Learning Model Development and Validation

Wang et al [13] differentiated heat and cold patterns in rheumatoid arthritis through cluster and factor analyses to guide clinical medication. Wu et al [48] investigated TCM cold and hot constitutions using pulse wave parameters such as augmentation index and heart rate variability. Although some individual studies have applied artificial intelligence to differentiate cold and hot properties, most efforts have been limited to identifying the properties of Chinese herbal medicines.

Xiaojie Jin, Yanru Wang, Jiarui Wang, Qian Gao, Yuhan Huang, Lingyu Shao, Jiali Zhao, Jintian Li, Ling Li, Zhiming Zhang, Shuyan Li, Yongqi Liu

JMIR Med Inform 2025;13:e64725

At-Home Evaluation of Both Wearable and Touchless Digital Health Technologies for Measuring Nocturnal Scratching in Atopic Dermatitis: Analytical Validation Study

At-Home Evaluation of Both Wearable and Touchless Digital Health Technologies for Measuring Nocturnal Scratching in Atopic Dermatitis: Analytical Validation Study

ICCs were estimated using outputs from linear mixed-effects models (function lmer from R package lmer Test (version 3.1-3 [25]) on log-transformed scratch outcomes (normalized scratch frequency and normalized scratch duration) as the response variables, scratch metric source (Philips, Emerald, Reference) as the fixed effect, a random intercept for study participant, and a random intercept for study day nested within participant.

Stefan Avey, Mark Morris, Davit Sargsyan, Molly V Lucas, Andrea O'Brisky, Kenneth Mosca, Andrew Elias, Nicholas Fountoulakis, Mehdi Boukhechba, Xuen Hoong Kok, Saiyam Jain, Mehrnoosh Oghbaie, Nikolay V Manyakov, Miao Wang, Zuleima Aguilar, Lynn Yieh

J Med Internet Res 2025;27:e72216

Effectiveness and Cost-Effectiveness of a Mobile Psychoeducation Program (OkeyMind) for Social Anxiety Symptoms Among Youths: Protocol for a Randomized Controlled Trial

Effectiveness and Cost-Effectiveness of a Mobile Psychoeducation Program (OkeyMind) for Social Anxiety Symptoms Among Youths: Protocol for a Randomized Controlled Trial

The Chinese version of the SPIN has been examined with good internal consistency (Cronbach α=0.85) and test-retest reliability (r=0.73). A cutoff value of 25 or higher has demonstrated strong reliability and validity and is commonly used to screen for social anxiety in the Chinese population [33]. Secondary outcomes include depressive symptoms measured using the PHQ-9 and quality of life measured using the EQ-5 D-5 L.

Yi-Zhou Wang, De-Hui Ruth Zhou, Siu-Man Ng, Bei-Bei Wang, Yu-Ya Feng, Xue Weng

JMIR Res Protoc 2025;14:e64518