EXPERIENCE OF USING THE PERPLEXITY AI-POWERED ANSWERING SYSTEM FOR EDUCA- TIONAL CONTENT GENERATION by Kateryna Osadcha, Maryna Osadcha

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Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence–Driven Clinical Prediction Model: Protocol fro... by Rutger van Mierlo, Bart Scheenstra, Joost Verbeek, Anke Bruninx, Petros Kalendralis, Inigo Bermejo, Andre Dekker, Arnoud van 't Hof, Marieke Spreeuwenberg, Laura Hochstenbach

“…Most of these features include goal setting, decision cards to help decide on an intervention, intervention monitoring, remote communication, and education, all accessible from one dashboard. A practice nurse or physician consults the individuals after risk calculation with the clinical prediction model and uses behavior change features, such as the decision cards, to support shared decision-making. …”
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Predicting Diabetic Retinopathy and Nephropathy Complications Using Machine Learning Techniques by D. R. Manjunath, J. J. Lohith, S. Selva Kumar, Abhijit Das

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PREDICTION OF METASTATIC DAMAGE OF REGIONAL LYMPHATIC NODES IN PATIENTS WITH BREAST CANCER by A. Kh. Ismagilov, N. G. Asnina, I. P. Moshurov, G. A. Azarov

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Novel serum biomarker for powerfully predicting pediatric simple febrile seizures by Jinzhi Mei, Chuanze Hu, Fang Sheng, Zhiyu Wang, Wangxiong Hu

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Psychiatric factors predict type 2 diabetes mellitus in US Veterans by Lora Lee Pless, Chantele Mitchell-Miland, Yeon-Jung Seo, Charles B. Bennett, Zachary Freyberg, Gretchen L. Haas

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Leveraging deep learning and graph analysis for enhanced course recommendations in online education by Xinxin Chen, Xiaojing Wang, Ying Wang, Dan Liu, Wei Zhang

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Machine learning for prediction of childhood mental health problems in social care by Ryan Crowley, Katherine Parkin, Emma Rocheteau, Efthalia Massou, Yasmin Friedmann, Ann John, Rachel Sippy, Pietro Liò, Anna Moore

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Explainable Artificial Intelligence in Deep Learning-Based Solar Storm Predictions by Adam Rawashdeh, Jason T. L. Wang, Katherine G. Herbert

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Modelling Hysteresis with Memristors by Sándor Csikós, Ádám Bálint, József Sárosi

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Prediction and Analysis of Rice Production and Yields Using Ensemble Learning Techniques by Yudha Islami Sulistya, Aina Musdholifah, Chrissandy Sapuletea, Elsi Titasari Br Bangun, Hizbullah Hamda, Sarah Anjani, Abednego Dwi Septiadi

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Complex Network Algorithm for Glossary Formation Context-Related Predictive Terms by Oleg Popov, Adrian Grosu, Sergey Kramarov

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Prediction of Truck Fuel Consumption Based on Crossformer-LSTM Characteristic Distillation by Kai Du, Qingqing Shi, Jingni Song, Dan Chen, Weiyu Liu

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Predicting the efficacy of rehabilitation in patients with type 2 diabetes and diabetic polyneuropathy by T.H. Bakaliuk, N.R. Makarchuk, H.O. Stelmakh, V.I. Pankiv, I.I. Kamyshna

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Predicting kidney graft function and failure among kidney transplant recipients by Yi Yao, Brad C. Astor, Wei Yang, Tom Greene, Liang Li

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PREDICTIVE ANALYSIS IN RURAL ECONOMICS: TOOLS FOR PLANNING AND EVALUATING SUSTAINABLE INVESTMENTS by Boris COREȚCHI

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Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance by Ziyuan Zhong, Junyang Zhou

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Fecal metabolites as early-phase biomarkers and prediction panel for ischemic stroke by Ke Xu, Zhe Ren, Shuang Zhao, Yi Ren, Jiaolin Wang, Wentao Wu, Zicheng Hu, Fei He, Dianji Tu, Qi Zhong, Jianjun Chen, Peng Xie

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Skip-based combined prediction method for distributed photovoltaic power generation by WU Minglang, PANG Zhenjiang, HONG Haimin, ZHAN Zhaowu, JIN Fei, TANG Yuanyang, YE Xuan

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Impact of data bias on machine learning for crystal compound synthesizability predictions by Ali Davariashtiyani, Busheng Wang, Samad Hajinazar, Eva Zurek, Sara Kadkhodaei

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