Search Results - "machines"

Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study by Igor Bibi, Daniel Schaffert, Mara Blauth, Christian Lull, Jan Alwin von Ahnen, Georg Gross, Wanja Alexander Weigandt, Johannes Knitza, Sebastian Kuhn, Johannes Benecke, Jan Leipe, Astrid Schmieder, Victor Olsavszky

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The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review by Laura Swinckels, Frank C Bennis, Kirsten A Ziesemer, Janneke F M Scheerman, Harmen Bijwaard, Ander de Keijzer, Josef Jan Bruers

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Development and validation of questionnaire-based machine learning models for predicting all-cause mortality in a representative population of China by Ziyi Li, Na Yang, Liyun He, Jialu Wang, Fan Ping, Wei Li, Lingling Xu, Huabing Zhang, Yuxiu Li

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Using machine learning to identify risk factors for pancreatic cancer: a retrospective cohort study of real-world data by Na Su, Na Su, Na Su, Rui Tang, Yice Zhang, Jiaqi Ni, Yimei Huang, Chunqi Liu, Chunqi Liu, Yuzhou Xiao, Yuzhou Xiao, Baoting Zhu, Yinglan Zhao, Yinglan Zhao

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Using Machine Learning Approaches to Explore Non-Cognitive Variables Influencing Reading Proficiency in English among Filipino Learners by Allan B. I. Bernardo, Macario O. Cordel, Rochelle Irene G. Lucas, Jude Michael M. Teves, Sashmir A. Yap, Unisse C. Chua

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The use of machine and deep learning to model the relationship between discomfort temperature and labor productivity loss among petrochemical workers by Yilin Zhang, Yifeng Chen, Qingling Su, Xiaoyin Huang, Qingyu Li, Yan Yang, Zitong Zhang, Jiake Chen, Zhihong Xiao, Rong Xu, Qing Zu, Shanshan Du, Wei Zheng, Weimin Ye, Jianjun Xiang

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Toward real‐world deployment of machine learning for health care: External validation, continual monitoring, and randomized clinical trials by Han Yuan

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Structure-Activity Relationship (SAR) Model for Predicting Teratogenic Risk of Antiseizure Medications in Pregnancy by Using Support Vector Machine by Liyuan Kang, Yifei Duan, Cheng Chen, Shihai Li, Menglong Li, Lei Chen, Zhining Wen, Zhining Wen

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Development of a machine learning tool to predict the risk of incident chronic kidney disease using health examination data by Yuki Yoshizaki, Kiminori Kato, Kazuya Fujihara, Hirohito Sone, Kohei Akazawa

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Spatial statistical machine learning models to assess the relationship between development vulnerabilities and educational factors in children in Queensland, Australia by Wala Draidi Areed, Aiden Price, Kathryn Arnett, Kerrie Mengersen

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Pharmacogenomic augmented machine learning in electronic health record alerts: A health system‐wide usability survey of clinicians by Caroline W. Grant, Jean Marrero‐Polanco, Jeremiah B. Joyce, Barbara Barry, Ashley Stillwell, Kellie Kruger, Therese Anderson, Heather Talley, Mary Hedges, Jose Valery, Richard White, Richard R. Sharp, Paul E. Croarkin, Liselotte N. Dyrbye, William V. Bobo, Arjun P. Athreya

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Machine learning-based risk factor analysis and prevalence prediction of intestinal parasitic infections using epidemiological survey data. by Aziz Zafar, Ziad Attia, Mehret Tesfaye, Sosina Walelign, Moges Wordofa, Dessie Abera, Kassu Desta, Aster Tsegaye, Ahmet Ay, Bineyam Taye

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Corrigendum: Using Machine Learning to Predict Cognitive Impairment Among Middle-Aged and Older Chinese: A Longitudinal Study by Haihong Liu, Haihong Liu, Xiaolei Zhang, Xiaolei Zhang, Haining Liu, Haining Liu, Haining Liu, Sheau Tsuey Chong, Sheau Tsuey Chong

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Using Machine Learning-Based Approaches for the Detection and Classification of Human Papillomavirus Vaccine Misinformation: Infodemiology Study of Reddit Discussions by Jingcheng Du, Sharice Preston, Hanxiao Sun, Ross Shegog, Rachel Cunningham, Julie Boom, Lara Savas, Muhammad Amith, Cui Tao

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Clinical outcomes of single blastocyst transfer with machine learning guided noninvasive chromosome screening grading system in infertile patients by Xiaoxi Li, Yaxin Yao, Dunmei Zhao, Xiufeng Chang, Yi Li, Huilan Lin, Huijuan Wei, Haiye Wang, Ying Mi, Lei Huang, Sijia Lu, Weimin Yang, Liyi Cai

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Effect of Ceramic Surface Treatments after Machine Grinding on the Biaxial Flexural Strength of Different CAD/CAM Dental Ceramics by Hossein Bagheri, Tabassom Hooshmand, Farzaneh Aghajani

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Predicting the risk factors of diabetic ketoacidosis-associated acute kidney injury: A machine learning approach using XGBoost by Tingting Fan, Jiaxin Wang, Luyao Li, Jing Kang, Wenrui Wang, Chuan Zhang

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Machine-Learning-Based Prediction of Photobiomodulation Effects on Older Adults With Cognitive Decline Using Functional Near-Infrared Spectroscopy by Kyeonggu Lee, Minyoung Chun, Bori Jung, Yunsu Kim, Chaeyoun Yang, JongKwan Choi, Jihyun Cha, Seung-Hwan Lee, Chang-Hwan Im

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Using image registration and machine learning to develop a workstation tool for rapid analysis of glomeruli in medical renal biopsies by David C Wilbur, Jason R Pettus, Maxwell L Smith, Lynn D Cornell, Alexander Andryushkin, Richard Wingard, Eric Wirch

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Machine learning models can predict cancer-associated disseminated intravascular coagulation in critically ill colorectal cancer patients by Li Qin, Li Qin, Jieling Mao, Jieling Mao, Min Gao, Min Gao, Jingwen Xie, Jingwen Xie, Zhikun Liang, Zhikun Liang, Xiaoyan Li, Xiaoyan Li

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