Application of machine learning techniques for warfarin dosage prediction: a case study on the MIMIC-III dataset by Aasim Ayaz Wani, Fatima Abeer

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Face and Voice Recognition-Based Emotion Analysis System (EAS) to Minimize Heterogeneity in the Metaverse by Surak Son, Yina Jeong

Subjects: “…artificial intelligence…”
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Looking Ahead with the New International Studies by Andrew Wright Hurley

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STI/HIV risk prediction model development—A novel use of public data to forecast STIs/HIV risk for men who have sex with men by Xiaopeng Ji, Zhaohui Tang, Sonya R. Osborne, Thi Phuoc Van Nguyen, Amy B. Mullens, Judith A. Dean, Yan Li

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EduCardia: A Modern Technology-Powered Methodology for the Assessment and Improvement of Social and Emotional Competencies of Students in K12 Schools by Eleni Fotopoulou, Elia Lopez Cassa, Lydia Mavraidi, Julia Peris, Anastasios Zafeiropoulos, Adina Colomeischi, Christina Papasolomontos, Symeon Papavassiliou

Subjects: “…Emotional intelligence…”
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Automated Measurement of Coronary Artery Calcifications and Routine Perioperative Blood Tests Predict Survival in Resected Stage I Lung Cancer by Federica Sabia, MSc, Camilla Valsecchi, MSc, Roberta Eufrasia Ledda, MD, Giorgio Bogani, MD, Riccardo Orlandi, MD, Luigi Rolli, MD, Michele Ferrari, MD, Maurizio Balbi, MD, Alfonso Marchianò, MD, Ugo Pastorino, MD

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An artificial intelligence optimization of NOx conversion efficiency under dual catalytic mechanism reaction based on multi-objective gray wolf algorithm by Zhiqing Zhang, Zicheng He, Yuguo Wang, Feng Jiang, Weihuang Zhong, Bin Zhang, Yanshuai Ye, Zibin Yin, Dongli Tan

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Assessing the disconnect between student interest and education in artificial intelligence in medicine in Saudi Arabia by Abeer F. Almarzouki, Alwaleed Alem, Faris Shrourou, Suhail Kaki, Mohammed Khushi, Abdulrahman Mutawakkil, Motasem Bamabad, Nawaf Fakharani, Mohammed Alshehri, Mohanad Binibrahim

Subjects: “…Artificial intelligence…”
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Intelligent diagnosis and prediction of pregnancy induced hypertension in obstetrics and gynecology teaching by integrating GA by Xiaolan Li, Xiaolan Li, Xiaolan Li, Fen Kang, Fen Kang, Fen Kang, Xiaojing Li, Xiaojing Li, Xiaojing Li

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Explorando el potencial de la inteligencia artificial en traumatología: respuestas conversacionales a preguntas específicas by F. Canillas del Rey, M. Canillas Arias

Subjects: “…Generative Artificial Intelligence…”
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INTERPRETING METAPHORICAL LANGUAGE: A CHALLENGE TO ARTIFICIAL INTELLIGENCE by Inna V. Skrynnikova

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Improving the segmentation of the vertebrae using a multi-stage machine learning algorithm by Vladyslav Koniukhov

Subjects: “…artificial intelligence…”
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An efficient bio-inspired algorithm based on humpback whale migration for constrained engineering optimization by Mojtaba Ghasemi, Mohamed Deriche, Pavel Trojovský, Zulkefli Mansor, Mohsen Zare, Eva Trojovská, Laith Abualigah, Absalom E. Ezugwu, Soleiman kadkhoda Mohammadi

Subjects: “…Animal intelligence…”
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Research of university data statistical platform based on data warehouse by Xin-zheng LONG, Li LI, Yi-ming PENG, Qian-yi WANG, Rong-bin OUYANG, Yun-feng LIU

Subjects: “…business intelligence…”
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Predicting rapid decline in kidney function among type 2 diabetes patients: A machine learning approach by Eri Nakahara, Kayo Waki, Hisashi Kurasawa, Imari Mimura, Tomohisa Seki, Akinori Fujino, Nagisa Shiomi, Masaomi Nangaku, Kazuhiko Ohe

Subjects: “…Artificial intelligence…”
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Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach by Tianshu Gu, Wensen Pan, Jing Yu, Guang Ji, Xia Meng, Yongjun Wang, Minghui Li

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Research on Intelligent Monitoring and Protection Equipment of Vital Signs of Underground Personnel in Coal Mines: Review by Yuntao Liang, Yingjie Liu, Changjia Lu, Dawei Cui, Jinghu Yang, Rui Zhou

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The Role of Artificial Intelligence in Aviation Construction Projects in the United Arab Emirates: Insights from Construction Professionals by Mariam Abdalla Alketbi, Fikri Dweiri, Doraid Dalalah

Subjects: “…artificial intelligence…”
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Exploring artificial intelligence for differentiating early syphilis from other skin lesions: a pilot study by Jiajun Sun, Yingping Li, Zhen Yu, Janet M. Towns, Nyi N. Soe, Phyu M. Latt, Lin Zhang, Zongyuan Ge, Christopher K. Fairley, Jason J. Ong, Lei Zhang

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Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar by Vorapat Trachoo, Unchalisa Taetragool, Ploypapas Pianchoopat, Chatchapon Sukitporn-udom, Narapathra Morakrant, Kritsasith Warin

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