Urban–rural disparities in fall risk among older Chinese adults: insights from machine learning-based predictive models by LiHan Lin, LiHan Lin, XiaoYang Liu, CaiHua Cai, YiKun Zheng, Delong Li, GuoPeng Hu

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Evaluation of cotton planting suitability in Xinjiang based on climate change and soil fertility factors simulated by coupled machine learning model by Yonglin Jia, Yi Li, Asim Biswas, Jiayin Pang, Xiaoyan Song, Guang Yang, Zhen’an Hou, Honghai Luo, Xiangwen Xie, Javlonbek Ishchanov, Ji Chen, Juanli Ju, Kadambot H.M. Siddique

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A machine learning-driven semi-mechanistic model for estimating actual evapotranspiration: Integrating photosynthetic indicators with vapor pressure deficit by Yao Li, Xiongbiao Peng, Zhunqiao Liu, Xiaoliang Lu, Xiaobo Gu, Lianyu Yu, Jiatun Xu, Huanjie Cai

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Optimizing tomato yield prediction using phenologically timed UAV-based spectral data and machine learning by Carolina Trentin, Yiannis Ampatzidis, Sotirios Tasioulas, Pavlos Tsouvaltzis

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A Survey on Privacy-Preserving Machine Learning Inference by Stanisław Barański

“… This paper examines methods to secure machine learning inference (ML inference) so that sensitive data remains private and proprietary models are protected during remote processing. …”
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Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence by Yasin Görmez, Fatma Hilal Yagin, Burak Yagin, Yalin Aygun, Hulusi Boke, Georgian Badicu, Matheus Santos De Sousa Fernandes, Abedalrhman Alkhateeb, Mahmood Basil A. Al-Rawi, Mohammadreza Aghaei, Mohammadreza Aghaei

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Cost-effectiveness of the 3E model in diabetes management: a machine learning approach to assess long-term economic impact by Supriya Raghav, Santosh Kumar, Hamid Ashraf, Poonam Khanna

“…BackgroundThis study investigated the cost-effectiveness and clinical impact of the 3E model (education, empowerment, and economy) in diabetes management using advanced machine learning techniques.MethodsWe conducted an observational longitudinal descriptive analysis involving 320 patients, who were grouped into intervention and control groups over a 24-month period.ResultsThe 3E model demonstrated significant cost reductions, with the intervention group achieving a 74.3% decrease in total costs compared to 41.8% in the control group while maintaining the same level of glycemic control. …”
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Prediction of suicidal attempts among Chinese adolescents with mood disorders: a clinical study using a machine learning approach by Jianbing Li, Yinqiu Zhao, Chi Yang, Wenqing Li, Zhihao Huang, Changhe Fan

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Development of a prognostic model for breast cancer patients based on intratumoral tumor-infiltrating lymphocytes using machine learning algorithms by Xinyi Wu, Chun Li

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Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set by Weijun Gong, You Pu, Tiao Ning, Yan Zhu, Gui Mu, Jing Li

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Air temperature estimation and modeling using data driven techniques based on best subset regression model in Egypt by Ahmed Elbeltagi, Dinesh Kumar Vishwakarma, Okan Mert Katipoğlu, Kallem Sushanth, Salim Heddam, Bhaskar Pratap Singh, Abhishek Shukla, Vinay Kumar Gautam, Chaitanya Baliram Pande, Saddam Hussain, Subhankar Ghosh, Hossein Dehghanisanij, Ali Salem

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The joint policy of production, maintenance, and product quality in a multi-machine production system by reinforcement learning and agent-based modeling by Mohammad Reza Nazabadi, Seyed Najafi, Ali Mohaghar, Farzad Movahedi Sobhani

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Predicting mortality risk in Alzheimer’s disease using machine learning based on lifestyle and physical activity by Ruihong Tang, Liang Tan, Xia Chen, Zhengwu Shan, Zhao Zhang, Panpan Cheng

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Evaluation of Parametric and Non-Parametric Models in Estimating Canopy Cover Density of Zagros Forests Using Remote Sensing and Machine Learning by Sajad Alimahmoodi Sarab, MohamadHadi Moayery, MOhammad Mirzavand, Shaban Shataee Jouibary, Alireza Rashki

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Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms by Hongjun Tao, Yang Wen, Rongfang Yu, Yining Xu, Fangliang Yu

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Untargeted Lipidomic Biomarkers for Liver Cancer Diagnosis: A Tree-Based Machine Learning Model Enhanced by Explainable Artificial Intelligence by Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

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Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand by Guangmei Yang, Guangdong Wang, Leping Wan, Xinle Wang, Yan He

“…Based on questionnaire information combined with feature selection, unbalanced data processing and machine learning methods, this study constructed a machine learning model for predicting the demand for medical and daily care services for the elderly, and analyzed the influencing factors of the demand for medical and daily care services for the elderly, providing a reference for the construction and verification of future prediction models for the demand for medical and daily care services for the elderly.…”
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Teaching design students machine learning to enhance motivation for learning computational thinking skills by Hung-Hsiang Wang, Chun-Han Ariel Wang

“…This study proposes an alternative approach to improve the motivation of design students by introducing machine learning tools into product design processes. …”
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A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning by Congyang Li, Chenggang Wang, Jiru Zhang, Wenjun Zheng, Jing Shi, Li Li, Xuezhi Shi

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Artificial intelligence in computer programming education: A systematic literature review by Pisut Manorat, Suppawong Tuarob, Siripen Pongpaichet

“…The demand for skilled programmers and the increasing complexity of coding skills have led to a rise in the adoption of artificial intelligence (AI) and machine learning (ML) technologies in computer programming education. …”
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