Improving machine learning algorithm for risk of early pressure injury prediction in admission patients using probability feature aggregation by Shu-Chen Chang, Shu-Mei Lai, Mei-Wen Wu, Shou-Chuan Sun, Mei-Chu Chen, Chiao-Min Chen

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Developing and validating an artificial intelligence-based application for predicting some pregnancy outcomes: a multi-phase study protocol by Fatemeh Shabani, Ata Jodeiri, Sakineh Mohammad‑Alizadeh‑Charandabi, Fatemeh Abbasalizadeh, Jafar Tanha, Mojgan Mirghafourvand

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Identification of gastric cancer subtypes based on disulfidptosis-related genes: GPC3 as a novel biomarker for prognosis prediction by Nan Yi, Xindong Yin, Xiao Feng, Ming Ren, Chaoqun Ma

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The development of the pediatric NAFLD fibrosis score (PNFS) to predict the presence of advanced fibrosis in children with nonalcoholic fatty liver disease. by Naim Alkhouri, Sana Mansoor, Paola Giammaria, Daniela Liccardo, Rocio Lopez, Valerio Nobili

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Predicting the potential distribution of stingless bee, Tetragonula iridipennis in India using MaxEnt and CMIP6 climate projections by V. Karuppaiah, R. Maruthadurai, Bappa Das, P. S. Soumia, Ankush Gadge, Chandrashekhar Pote, Dhananjay Shirsat, Trupti Pandit, Sanket Sawant, S. V. Ramesh, Vijay Mahajan

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Clopidogrel response predicts thromboembolic events associated with coil embolization of unruptured intracranial aneurysms: A prospective cohort study. by Eiji Higashi, Shoji Matsumoto, Ichiro Nakahara, Taketo Hatano, Akira Ishii, Nobutake Sadamasa, Tsuyoshi Ohta, Takuma Ishihara, Keisuke Tokunaga, Mitsushige Ando, Hideo Chihara, Konosuke Furuta, Tetsuya Hashimoto, Koji Tanaka, Kazutaka Sonoda, Junpei Koge, Wataru Takita, Takuro Hashikawa, Yusuke Funakoshi, Daisuke Kondo, Takahiko Kamata, Atsushi Tsujimoto, Takuya Matsushita, Hiroyuki Murai, Keitaro Matsuo, Takanari Kitazono, Junichi Kira

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A benchmark of deep learning approaches to predict lung cancer risk using national lung screening trial cohort by Yifan Jiang, Leyla Ebrahimpour, Philippe Després, Venkata SK. Manem

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Development and validation of a prognostic nomogram for predicting of patients with acute sedative-hypnotic overdose admitted to the intensive care unit by Guo Tang, Tianshan Zhang, Ping Zhang, Sha Yang, Tao Cheng, Rong Yao

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Entrepreneurial intention among youths: The role of entrepreneurial education and passion by Zinhle Mhlongo, Sibusiso D. Ntshangase, Ikechukwu O. Ezeuduji

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Noninvasive prediction of fetal growth restriction using maternal plasma cell-free RNA: a case-control study by Yihong Huang, Ruizhi Wang, Lixia Shen, Lingyi Kong, Peisong Chen, Zilian Wang, Zhuyu Li

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Fed-DPSDG-WGAN: Differentially Private Synthetic Data Generation for Loan Default Prediction via Federated Wasserstein GAN by Padmaja Ramachandra, Santhi Vaithiyanathan

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Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City by Qingchun Guo, Zhenfang He, Zhaosheng Wang

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Predicting honest behavior based on Eysenck personality traits and gender: an explainable machine learning study using SHAP analysis by Yu Meng, Zili Peng, Zhitong Zhang, Qiaolin Chen, Hanxi Huang, Yihan Chen, Mengqian Zhao

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Utilization of machine learning to predict antibiotic resistant event outcomes in acute myeloid leukemia patients undergoing induction chemotherapy by Stephanie McMahon, Samantha Franklin, Jessica Galloway-Peña

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Interpretable machine learning for predicting optimal surgical timing in polytrauma patients with TBI and fractures to reduce postoperative infection risk by Xing Han, Jia-Hui Zhang, Xin Zhao, Xi-Guang Sang

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A Practical Degradation Based Method to Predict Long-Term Moisture Incursion and Color Change in High Power LEDs by Thong Kok Law, Fannon Lim

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Machine Learning-Based Prediction of Impulse Control Disorders in Parkinson’s Disease From Clinical and Genetic Data by Johann Faouzi, Samir Bekadar, Fanny Artaud, Alexis Elbaz, Graziella Mangone, Olivier Colliot, Jean-Christophe Corvol

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Robustness of Machine Learning Predictions for Determining Whether Deep Inspiration Breath-Hold Is Required in Breast Cancer Radiation Therapy by Wlla E. Al-Hammad, Masahiro Kuroda, Ghaida Al Jamal, Mamiko Fujikura, Ryo Kamizaki, Kazuhiro Kuroda, Suzuka Yoshida, Yoshihide Nakamura, Masataka Oita, Yoshinori Tanabe, Kohei Sugimoto, Irfan Sugianto, Majd Barham, Nouha Tekiki, Miki Hisatomi, Junichi Asaumi

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Predicting depression and unravelling its heterogeneous influences in middle-aged and older people populations: a machine learning approach by Ling Zhang, Ruigang Wei, Jingwen Zhou, Lin Tan, Xiaolong Che, Minqinag Zhang, Xiaoyue Ning, Zhiliang Zhong

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A novel fibrosis index comprising a non-cholesterol sterol accurately predicts HCV-related liver cirrhosis. by Magdalena Ydreborg, Vera Lisovskaja, Martin Lagging, Peer Brehm Christensen, Nina Langeland, Mads Rauning Buhl, Court Pedersen, Kristine Mørch, Rune Wejstål, Gunnar Norkrans, Magnus Lindh, Martti Färkkilä, Johan Westin

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