Search Results - "machines"

Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation by Ada Ng, Boyang Wei, Jayalakshmi Jain, Erin A Ward, S Darius Tandon, Judith T Moskowitz, Sheila Krogh-Jespersen, Lauren S Wakschlag, Nabil Alshurafa

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Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data by Liu, Jessica Chia, Goetz, Jack, Sen, Srijan, Tewari, Ambuj

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High-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study by Weizhuang Zhou, Yu En Chan, Chuan Sheng Foo, Jingxian Zhang, Jing Xian Teo, Sonia Davila, Weiting Huang, Jonathan Yap, Stuart Cook, Patrick Tan, Calvin Woon-Loong Chin, Khung Keong Yeo, Weng Khong Lim, Pavitra Krishnaswamy

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Multi-Omics Analysis and Machine Learning Prediction Model for Pregnancy Outcomes After Intracytoplasmic Sperm Injection-in vitro Fertilization by Fangying Chen, Yixin Chen, Qinyun Mai

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SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis by Xi Huang, Bo Liu, Shenghan Guo, Weihong Guo, Ke Liao, Guoku Hu, Wen Shi, Mitchell Kuss, Michael J. Duryee, Daniel R. Anderson, Yongfeng Lu, Bin Duan

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Development of Machine Learning Algorithms to Predict Being Lost to Follow-up After Hip Arthroscopy for Femoroacetabular Impingement Syndrome by Kyle N. Kunze, M.D, Robert A. Burnett, M.D, Elaine K. Lee, M.A, Jonathan P. Rasio, B.S, Shane J. Nho, M.D., M.S

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Unsupervised Machine Learning Algorithms Examine Healthcare Providers' Perceptions and Longitudinal Performance in a Digital Neonatal Resuscitation Simulator by Chang Lu, Simran K. Ghoman, Simran K. Ghoman, Maria Cutumisu, Maria Cutumisu, Maria Cutumisu, Georg M. Schmölzer, Georg M. Schmölzer

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Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study by Qingsong Xi, Qiyu Yang, Meng Wang, Bo Huang, Bo Zhang, Zhou Li, Shuai Liu, Liu Yang, Lixia Zhu, Lei Jin

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Using Item Response Theory for Explainable Machine Learning in Predicting Mortality in the Intensive Care Unit: Case-Based Approach by Kline, Adrienne, Kline, Theresa, Shakeri Hossein Abad, Zahra, Lee, Joon

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MACHINE LEARNING AND BIOIMPEDANCE TO DRIVE CLINICAL DECISION-MAKING AT HOME: A PROPOSED MODEL TO PREDICT HEART FAILURE EXACERBATIONSAUTHORS by Vamsi Maturi, BS, Ankit Hanmandlu, MD, Nidhish Lokesh, BS, Swati Gupta, MD, Tom Valikodath, MD

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Machine learning models based on clinical indices and cardiotocographic features for discriminating asphyxia fetuses-Porto retrospective intrapartum study by Maria Ribeiro, Maria Ribeiro, Inês Nunes, Inês Nunes, Inês Nunes, Luísa Castro, Luísa Castro, Cristina Costa-Santos, Teresa S. Henriques

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Employing Machine Learning-Based QSAR for Targeting Zika Virus NS3 Protease: Molecular Insights and Inhibitor Discovery by Hisham N. Altayb, Hanan Ali Alatawi

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A machine learning-based approach for predicting renal function recovery in general ward patients with acute kidney injury by Nam-Jun Cho, Inyong Jeong, Yeongmin Kim, Dong Ok Kim, Se-Jin Ahn, Sang-Hee Kang, Hyo-Wook Gil, Hwamin Lee

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Can machine learning methods be used for identification of at-risk neonates in low-resource settings? A prospective cohort study by Babar S Hasan, Zahra Hoodbhoy, Devyani Chowdhury, Bart Bijnens, Amna Khan, Mariana Nogueira

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Development of Machine Learning Models for Accurately Predicting and Ranking the Activity of Lead Molecules to Inhibit PRC2 Dependent Cancer by Danishuddin, Vikas Kumar, Shraddha Parate, Ashutosh Bahuguna, Gihwan Lee, Myeong Ok Kim, Keun Woo Lee

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Construction and verification of atopic dermatitis diagnostic model based on pyroptosis related biological markers using machine learning methods by Wenfeng Wu, Gaofei Chen, Zexin Zhang, Meixing He, Hongyi Li, Fenggen Yan

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Improving lung cancer risk stratification leveraging whole transcriptome RNA sequencing and machine learning across multiple cohorts by Yoonha Choi, Jianghan Qu, Shuyang Wu, Yangyang Hao, Jiarui Zhang, Jianchang Ning, Xinwu Yang, Lori Lofaro, Daniel G. Pankratz, Joshua Babiarz, P. Sean Walsh, Ehab Billatos, Marc E. Lenburg, Giulia C. Kennedy, Jon McAuliffe, Jing Huang

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Investigating the Association between Nutrient Intake and Food Insecurity among Children and Adolescents in Palestine Using Machine Learning Techniques by Radwan Qasrawi, Sabri Sgahir, Maysaa Nemer, Mousa Halaikah, Manal Badrasawi, Malak Amro, Stephanny Vicuna Polo, Diala Abu Al-Halawa, Doa'a Mujahed, Lara Nasreddine, Ibrahim Elmadfa, Siham Atari, Ayoub Al-Jawaldeh

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Identification of TXN and F5 as novel diagnostic gene biomarkers of the severe asthma based on bioinformatics and machine learning analysis by Lu Shou, Haidong He, Yi Wei, Xianrong Xu, Wenmin Wang, Jisheng Zheng

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A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women by Yoo HY, Lee KC, Woo JE, Park SH, Lee S, Joo J, Bae JS, Kwon HJ, Park BJ

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