On predictive modeling of the twitter-based sales data using a new probabilistic model and machine learning methods by Min Wan, Mohammed A. Alshahrani, Najla M. Aloraini, Alia A. Alkhathami, Haifa Alqahtani

“…Furthermore, we employ two machine learning techniques to forecast the sales, with a particular emphasis on 1-step and 3-step advance predictions. The statistical analysis indicates that multilayer perceptron (MLP) is superior in the field of short-term forecasting, whereas support vector regression (SVR) is more effective in the context of longer-term predictions.…”
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Enhancing Rehabilitation Assessment with Artificial Intelligence: A Comprehensive Investigation of Posture Quality Prediction Using Machine Learning by Zhang Wenxi

“…This paper comprehensively reviews the application of Artificial Intelligence (AI) in rehabilitation exercise assessment, with a particular focus on posture quality prediction. AI techniques, including Support Vector Machines (SVM), decision trees, random forests, Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), show great potential in improving the accuracy and personalization of rehabilitation assessment. …”
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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

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Ultra-Short-Term Wind Power Forecasting Based on DT-DSCTransformer Model by Yanlong Gao, Feng Xing, Lipeng Kang, Mingming Zhang, Caiyan Qin

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Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study by Qi Huang, Xiantong Zou, Zhouhui Lian, Xianghai Zhou, Xueyao Han, Yingying Luo, Shuohua Chen, Yanxiu Wang, Shouling Wu, Linong Ji

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Novel drug targets for monkeypox: From viral to host proteins by Zhaozhong Zhu, Qin Sun, Yunhai Xu, Youya Niu, Fei Yang, Shuidong Feng

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Lipids as key biomarkers in unravelling the pathophysiology of obesity-related metabolic dysregulation by Anis Adibah Osman, Siok-Fong Chin, Lay-Kek Teh, Noraidatulakma Abdullah, Nor Azian Abdul Murad, Rahman Jamal

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Conditional similarity triplets enable covariate-informed representations of single-cell data by Chi-Jane Chen, Haidong Yi, Natalie Stanley

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Early detection of Bronchopulmonary Dysplasia (BPD) in preterm infants using doppler ultrasound technology by Pin Wang, Lihong Duan, Congxin Sun, Yu Chen, Yanyan Peng, Guihong Chen, Lixia Wu, Yan Li

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Prediction model for unfavorable treatment outcome for complicated sever acute malnutrition (SAM) in under five children admitted in hospitals at Amhara Region by Almaw Genet Yeshiwas, Zelalem Alamrew Anteneh, Tilahun Degu Tsega, Ahmed Fentaw Ahmed, Chalachew Yenew

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A New Diagnosing Method for Psoriasis From Exhaled Breath by Bilge Han Tozlu, Omer Faruk Akmese, Cemaleddin Simsek, Engin Senel

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Accessible model predicts response in hormone receptor positive HER2 negative breast cancer receiving neoadjuvant chemotherapy by Luca Mastrantoni, Giovanna Garufi, Giulia Giordano, Noemi Maliziola, Elena Di Monte, Giorgia Arcuri, Valentina Frescura, Angelachiara Rotondi, Armando Orlandi, Luisa Carbognin, Antonella Palazzo, Federica Miglietta, Letizia Pontolillo, Alessandra Fabi, Lorenzo Gerratana, Sergio Pannunzio, Ida Paris, Sara Pilotto, Fabio Marazzi, Antonio Franco, Gianluca Franceschini, Maria Vittoria Dieci, Roberta Mazzeo, Fabio Puglisi, Valentina Guarneri, Michele Milella, Giovanni Scambia, Diana Giannarelli, Giampaolo Tortora, Emilio Bria

“…In patients receiving neoadjuvant chemotherapy (NACT), pathological complete response (pCR) is rare and multiple efforts have been made to predict disease recurrence. We developed a framework to predict pCR using clinicopathological characteristics widely available at diagnosis. …”
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Nomograms based on ratio indexes to predict severity and prognosis in immune checkpoint inhibitors-related myocarditis: a retrospective analysis by Zhenli Li, Tiezhu Yao, Guang Liu, Zhengkun Guan, Jing Liu, Ling Guo, Jingtao Ma

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How does the rise in contraceptive usage predict pregnancy termination among young women in Kenya? an in-depth multilevel analysis by Stephen Okechukwu Chukwudeh, Obasanjo Afolabi Bolarinwa, Oluwatobi Abel Alawode, David Olawade, Sinegugu Shongwe, Ritika Tiwari

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Weather Conditions (with Focus on UV Radiation) Associated with COVID-19 Outbreak and Worldwide Climate-based Prediction for Future Prevention by Lucian Sfîcă, Mihai Bulai, Vlad-Alexandru Amihăesei, Constantin Ion, Marius Ștefan

“…Our results, which focused on the role of the UV solar radiation, could be used as a prediction tool for identifying the world regions with a higher risk of future faster increase in COVID-19 cases.…”
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Role of the CHADS-VASc score in predicting hospital stay and 90-day readmission among patients with atrial fibrillation in Syria by Ibrahim Antoun, Alamer Alkhayer, Alkassem Alkhayer, Yaman Mahfoud, Ahmed Kotb, Riyaz Somani, G André Ng, Mustafa Zakkar

“…Objectives We assessed the CHA 2 DS 2 -VASc score for predicting hospital readmission risk and length of stay (LOS) in patients admitted with primary atrial fibrillation (AF). …”
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Cardiovascular Risk Assessment among Adults in Primary Health Care Settings in Sulaimani Using WHO Risk Prediction Charts by Vian Najim Edeen, Zhian Salah Ramzi

“…WHO adopted World Health Organization/International Society of Hypertension (WHO/ISH) risk charts to predict cardiovascular disease risk in low and middle income countries. …”
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Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering by Senhui Wang

“…The results showed that an improvement in predictive accuracy can be obtained by the GA-ELM approach, and the accuracy of TI prediction is 81.85% for absolute error under 0.7%.…”
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Nomograms for predicting recurrence of HER2‐positive breast cancer with different HR status based on ultrasound and clinicopathological characteristics by Xudong Zhang, Hanqing Kong, Xiaoxue Liu, Qingxiang Li, Xinran Fang, Junjia Wang, Zihao Qin, Nana Hu, Jiawei Tian, Hao Cui, Lei Zhang

“…Informative characteristics were screened through univariate and multivariable Cox regression in the training cohorts and used to develop nomograms for predicting recurrence. The predictive accuracy was calculated using Harrell's C‐index and calibration curves. …”
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In silico study about β-amyloid’s role in Alzheimer’s disease and glaucoma and prediction of its interactions with glaucoma related proteins by Nancy Maurya

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