Sökresultat - "predictive modelling"

Screening antimicrobial peptides and probiotics using multiple deep learning and directed evolution strategies av Yu Zhang, Li-Hua Liu, Bo Xu, Zhiqian Zhang, Min Yang, Yiyang He, Jingjing Chen, Yang Zhang, Yucheng Hu, Xipeng Chen, Zitong Sun, Qijun Ge, Song Wu, Wei Lei, Kaizheng Li, Hua Cui, Gangzhu Yang, Xuemei Zhao, Man Wang, Jiaqi Xia, Zhen Cao, Ao Jiang, Yi-Rui Wu

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Modelling analysis and prediction of women javelin throw results in the years I946 - 2013 av P Grycmann, A Maszczyk, T Socha, A Gołaś, M Wilk, T Zając, K Przednowek

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Factors influencing HPV vaccine hesitancy among university students in China: A cross-sectional survey utilizing the 3Cs model av Yuancheng He, Xiuqing Zhang, Jie Li, Yuehua Chen, Lin Zhang, Yuehong Wei

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Predicting oral disintegrating tablet formulations by neural network techniques av Run Han, Yilong Yang, Xiaoshan Li, Defang Ouyang

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Predicting Learning Outcomes with MOOC Clickstreams av Chen-Hsiang Yu, Jungpin Wu, An-Chi Liu

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An Interpretable Machine Learning Approach to Predict Sensory Processing Sensitivity Trait in Nursing Students av Alicia Ponce-Valencia, Diana Jiménez-Rodríguez, Juan José Hernández Morante, Carlos Martínez Cortés, Horacio Pérez-Sánchez, Paloma Echevarría Pérez

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Curated Database and Preliminary AutoML QSAR Model for 5-HT1A Receptor av Natalia Czub, Adam Pacławski, Jakub Szlęk, Aleksander Mendyk

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Risk prediction of gestational diabetes mellitus in women with polycystic ovary syndrome based on a nomogram model av Peilin Ouyang, Siqi Duan, Yiping You, Xiaozhou Jia, Liqin Yang

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Medical adhesive-related skin injury in cancer patients: A prospective cohort study av José Ferreira Pires-Júnior, Tânia Couto Machado Chianca, Eline Lima Borges, Cissa Azevedo, Giovana Paula Rezende Simino

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Computational Identification of Inhibitors Using QSAR Approach Against Nipah Virus av Akanksha Rajput, Archit Kumar, Manoj Kumar

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Review of the Cosolvency Models for Predicting Drug Solubility in Solvent Mixtures: An Update av Abolghasem Jouyban

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Can the Random Forests Model Improve the Power to Predict the Inten-tion of the Elderly in a Community to Participate in a Cognitive Health Promotion Program? av Haewon BYEON

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Serious Safety Signals and Prediction Features Following COVID-19 mRNA Vaccines Using the Vaccine Adverse Event Reporting System av Jung Yoon Choi, Yongjoon Lee, Nam Gi Park, Mi Sung Kim, Sandy Jeong Rhie

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A New Web Score to Predict Health Status in Paediatric Patients with Chronic Diseases: Design and Development of the PENSAMI Study av Francesca Mastorci, Lamia Ait-Ali, Pierluigi Festa, Marco Martini, Luigi Gagliardi, Giovanni Calabri, Giancarlo La Marca, Gabriele Trivellini, Anselmo Casu, Stefano Dalmiani, Paolo Marcheschi, Simona Celi, Alessandro Pingitore

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Development and validation of a machine learning model integrated with the clinical workflow for inpatient discharge date prediction av Mohammed A. Mahyoub, Mohammed A. Mahyoub, Kacie Dougherty, Ravi R. Yadav, Raul Berio-Dorta, Ajit Shukla

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Prediction for Origin-Destination Distribution of Dockless Shared Bicycles: A Case Study in Nanjing City av Min Cao, Min Cao, Min Cao, Ying Liang, Ying Liang, Ying Liang, Yanhui Zhu, Yanhui Zhu, Yanhui Zhu, Guonian Lü, Guonian Lü, Guonian Lü, Zaiyang Ma, Zaiyang Ma, Zaiyang Ma

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Prediction of the severity of child abuse using nationwide survey data from Child Guidance Centers in Japan: focus on infancy and preschool age av Yasukazu Ogai, Ryoko Nakajima-Yamaguchi, Hirotsuna Ohashi, Kentaro Niwa, Toyoo Sakurayama, Nobuaki Morita

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Nomogram model for the risk of insulin resistance in obese children and adolescents based on anthropomorphology and lipid derived indicators av Cao You-xiang, Zhu Lin

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A simple model to predict risk of gestational diabetes mellitus from 8 to 20 weeks of gestation in Chinese women av Tao Zheng, Weiping Ye, Xipeng Wang, Xiaoyong Li, Jun Zhang, Julian Little, Lixia Zhou, Lin Zhang

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Analysis of prognostic factors for cervical mucinous adenocarcinoma and establishment and validation a nomogram: a SEER-based study av Yiping Hao, Qingqing Liu, Ruowen Li, Zhonghao Mao, Nan Jiang, Bingyu Wang, Wenjing Zhang, Baoxia Cui

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