Resultados de búsqueda - "Machine Learning"

Subphenotyping depression using machine learning and electronic health records por Zhenxing Xu, Fei Wang, Prakash Adekkanattu, Budhaditya Bose, Veer Vekaria, Pascal Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo, Jennifer A. Pacheco, Luke V. Rasmussen, Jie Xu, George Alexopoulos, Jyotishman Pathak

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The significance of machine learning in neonatal screening for inherited metabolic diseases por Xiangchun Yang, Xiangchun Yang, Shuxia Ding, Jianping Zhang, Zhuojie Hu, Danyan Zhuang, Danyan Zhuang, Fei Wang, Fei Wang, Shanshan Wu, Changshui Chen, Haibo Li, Haibo Li

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A Machine Learning Approach to Gene Expression in Hypertrophic Cardiomyopathy por Jelena Pavić, Marko Živanović, Irena Tanasković, Ognjen Pavić, Vesna Stanković, Katarina Virijević, Tamara Mladenović, Jelena Košarić, Bogdan Milićević, Safi Ur Rehman Qamar, Lazar Velicki, Ivana Novaković, Andrej Preveden, Dejana Popović, Milorad Tesić, Stefan Seman, Nenad Filipović

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Machine learning-based prediction model for the efficacy and safety of statins por Yu Xiong, Yu Xiong, Xiaoyang Liu, Xiaoyang Liu, Qing Wang, Li Zhao, Xudong Kong, Chunhe Da, Zuohuan Meng, Leilei Qu, Qinfang Xia, Lihong Liu, Pengmei Li, Pengmei Li

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Machine learning for clinical operations improvement via case triaging por S. J. Huang, Y. Liu, K. Kanada, G. S. Corrado, D. R. Webster, L. Peng, P. Bui, Y. Liu

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Prediction of drug permeation through microneedled skin by machine learning por Yunong Yuan, Yiting Han, Chun Wei Yap, Jaspreet S. Kochhar, Hairui Li, Xiaoqiang Xiang, Lifeng Kang

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Detection of COVID-19 epidemic outbreak using machine learning por Giphil Cho, Jeong Rye Park, Yongin Choi, Hyeonjeong Ahn, Hyojung Lee

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Current role of machine learning and radiogenomics in precision neuro-oncology por Teresa Perillo, Marco de Giorgi, Umberto Maria Papace, Antonietta Serino, Renato Cuocolo, Andrea Manto

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Machine learning assisted Cameriere method for dental age estimation por Shihui Shen, Zihao Liu, Jian Wang, Linfeng Fan, Fang Ji, Jiang Tao

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On Leveraging Machine Learning in Sport Science in the Hypothetico-deductive Framework por Jordan Rodu, Alexandra F. DeJong Lempke, Natalie Kupperman, Jay Hertel

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Reduction of monoclonal antibody viscosity using interpretable machine learning por Emily K. Makowski, Hsin-Ting Chen, Tiexin Wang, Lina Wu, Jie Huang, Marissa Mock, Patrick Underhill, Emma Pelegri-O'Day, Erick Maglalang, Dwight Winters, Peter M. Tessier

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BIBLIOMETRIC ANALYSIS OF MACHINE LEARNING ON DEVELOPMENT RESEARCH FOR EDUCATION IN INDONESIA por Wigati Wigati

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Machine learning prediction of adolescent HIV testing services in Ethiopia por Melsew Setegn Alie, Yilkal Negesse

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Advancements in artificial intelligence and machine learning in revolutionising biomarker discovery por Gokuldas (Vedant), Amisha Sarvesh Raikar, Sandesh Narayan Somnache

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Evaluation of machine learning methods for covariate data imputation in pharmacometrics por Dominic Stefan Bräm, Uri Nahum, Andrew Atkinson, Gilbert Koch, Marc Pfister

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Supervised machine learning models applied to disease diagnosis and prognosis por Maria C Mariani, Osei K Tweneboah, Md Al Masum Bhuiyan

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Machine Learning for Mental Health in Social Media: Bibliometric Study por Kim, Jina, Lee, Daeun, Park, Eunil

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Chronic kidney disease prediction based on machine learning algorithms por Md. Ariful Islam, Md. Ziaul Hasan Majumder, Md. Alomgeer Hussein

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Leveraging machine learning to examine engagement with a digital therapeutic por Andrew C. Heusser, Denton J. DeLoss, Elena Cañadas, Titiimaea Alailima

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Machine Learning Algorithms for the Diagnosis of Class III Malocclusions in Children por Ling Zhao, Xiaozhi Chen, Juneng Huang, Shuixue Mo, Min Gu, Na Kang, Shaohua Song, Xuejun Zhang, Bohui Liang, Min Tang

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