検索結果 - "Machine Learning"

Prediction of Tacrolimus Dose/Weight-Adjusted Trough Concentration in Pediatric Refractory Nephrotic Syndrome: A Machine Learning Approach 著者: Mo X, Chen X, Wang X, Zhong X, Liang H, Wei Y, Deng H, Hu R, Zhang T, Chen Y, Gao X, Huang M, Li J

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Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study 著者: Cheng, Hao-Yuan, Wu, Yu-Chun, Lin, Min-Hau, Liu, Yu-Lun, Tsai, Yue-Yang, Wu, Jo-Hua, Pan, Ke-Han, Ke, Chih-Jung, Chen, Chiu-Mei, Liu, Ding-Ping, Lin, I-Feng, Chuang, Jen-Hsiang

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Pharmacometric modeling and machine learning analyses of prognostic and predictive factors in the JAVELIN Gastric 100 phase III trial of avelumab 著者: Nadia Terranova, Jonathan French, Haiqing Dai, Matthew Wiens, Akash Khandelwal, Ana Ruiz‐Garcia, Juliane Manitz, Anja vonHeydebreck, Mary Ruisi, Kevin Chin, Pascal Girard, Karthik Venkatakrishnan

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Using machine learning to understand determinants of IUD use in India: Analyses of the National Family Health Surveys (NFHS-4) 著者: Arnab K. Dey, Nabamallika Dehingia, Nandita Bhan, Edwin Elizabeth Thomas, Lotus McDougal, Sarah Averbach, Julian McAuley, Abhishek Singh, Anita Raj

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Psychosocial and Physiological Factors Affecting Selection to Regional Age-Grade Rugby Union Squads: A Machine Learning Approach 著者: Julian Owen, Robin Owen, Jessica Hughes, Josh Leach, Dior Anderson, Eleri Jones

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Machine Learning-Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study 著者: Xiao-Qin Luo, Yi-Xin Kang, Shao-Bin Duan, Ping Yan, Guo-Bao Song, Ning-Ya Zhang, Shi-Kun Yang, Jing-Xin Li, Hui Zhang

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SperoPredictor: An Integrated Machine Learning and Molecular Docking-Based Drug Repurposing Framework With Use Case of COVID-19 著者: Faheem Ahmed, Jae Wook Lee, Jae Wook Lee, Anupama Samantasinghar, Young Su Kim, Kyung Hwan Kim, In Suk Kang, Fida Hussain Memon, Jong Hwan Lim, Kyung Hyun Choi, Kyung Hyun Choi

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Using machine learning to determine age over 16 based on development of third molar and periodontal ligament of second molar 著者: Shihui Shen, Zhuojun Zhou, Jian Wang, Linfeng Fan, Junli Han, Jiang Tao

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Analysis of potential genetic biomarkers using machine learning methods and immune infiltration regulatory mechanisms underlying atrial fibrillation 著者: Li-Da Wu, Feng Li, Jia-Yi Chen, Jie Zhang, Ling-Ling Qian, Ru-Xing Wang

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Development and validation of a machine learning-based prognostic model for IgA nephropathy with CKD stage 3 or 4 著者: Zixian Yu, Xiaoxuan Ning, Yunlong Qin, Yan Xing, Qing Jia, Jinguo Yuan, Yumeng Zhang, Jin Zhao, Shiren Sun

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Machine Learning-Based Automatic Classification of Video Recorded Neonatal Manipulations and Associated Physiological Parameters: A Feasibility Study 著者: Harpreet Singh, Satoshi Kusuda, Ryan M. McAdams, Shubham Gupta, Jayant Kalra, Ravneet Kaur, Ritu Das, Saket Anand, Ashish Kumar Pandey, Su Jin Cho, Satish Saluja, Justin J. Boutilier, Suchi Saria, Jonathan Palma, Avneet Kaur, Gautam Yadav, Yao Sun

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Epidemiology and a Predictive Model of Prognosis Index Based on Machine Learning in Primary Breast Lymphoma: Population-Based Study 著者: Yushuai Yu, Zelin Xu, Tinglei Shao, Kaiyan Huang, Ruiliang Chen, Xiaoqin Yu, Jie Zhang, Hui Han, Chuangui Song

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Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study 著者: Guoqing Huang, Qiankai Jin, Yushan Mao

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Natural Language Processing and Machine Learning for Identifying Incident Stroke From Electronic Health Records: Algorithm Development and Validation 著者: Zhao, Yiqing, Fu, Sunyang, Bielinski, Suzette J, Decker, Paul A, Chamberlain, Alanna M, Roger, Veronique L, Liu, Hongfang, Larson, Nicholas B

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The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study 著者: Fang He, John H Page, Kerry R Weinberg, Anirban Mishra

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Novel bioinformatic methods and machine learning approaches reveal candidate biomarkers of the intensity and timing of past exposure to Plasmodium falciparum. 著者: Sophie Bérubé, Tamaki Kobayashi, Douglas E Norris, Ingo Ruczinski, William J Moss, Amy Wesolowski, Thomas A Louis

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Exploring acetylation-related gene markers in polycystic ovary syndrome: insights into pathogenesis and diagnostic potential using machine learning 著者: Jiqing Wang, Yuqing Wang, Shanshan Li, Xiaoqin Fang, Chaoyue Zhang, Zuqing Wang, Yi Zheng, Hanzhi Deng, Shifen Xu, Yiqun Mi

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Tumor-identification method for predicting recurrence of early-stage lung adenocarcinoma using digital pathology images by machine learning 著者: Hideharu Hattori, Shingo Sakashita, Masahiro Tsuboi, Genichiro Ishii, Toshiyuki Tanaka

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Commentary: Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2 by a machine learning approach 著者: Noemi Salmeri, Massimo Candiani, Paolo Ivo Cavoretto

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Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques 著者: Habtamu Setegn Ngusie, Shegaw Anagaw Mengiste, Alemu Birara Zemariam, Bogale Molla, Getanew Aschalew Tesfa, Binyam Tariku Seboka, Tilahun Dessie Alene, Jing Sun

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