Search Results - "Machine Learning"

Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study by Simon Schallmoser, Thomas Zueger, Mathias Kraus, Maytal Saar-Tsechansky, Christoph Stettler, Stefan Feuerriegel

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Predicting hospital length of stay using machine learning on a large open health dataset by Raunak Jain, Mrityunjai Singh, A. Ravishankar Rao, Rahul Garg

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Developing and Validating an Emergency Triage Model Using Machine Learning Algorithms with Medical Big Data by Gao Z, Qi X, Zhang X, Gao X, He X, Guo S, Li P

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Immune-Associated Gene Signatures and Subtypes to Predict the Progression of Atherosclerotic Plaques Based on Machine Learning by Yujia Yang, Xu Yi, Yue Cai, Yuan Zhang, Zhiqiang Xu

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Academic resilience of nursing students during COVID‐19: An analysis using machine learning methods by Zhu Liduzi Jiesisibieke, Mao Ye, Weifang Xu, Yen‐Ching Chuang, James J. H. Liou, Tao‐Hsin Tung, Ching‐Wen Chien

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Leveraging machine learning to study how temperament scores predict pre-term birth status by Erich Seamon, Jennifer.A. Mattera, Sarah.A. Keim, Esther.M. Leerkes, Jennifer.L. Rennels, Andrea.J. Kayl, Kirsty.M. Kulhanek, Darcia Narvaez, Sarah.M. Sanborn, Jennifer.B. Grandits, Christine Dunkel Schetter, Mary Coussons-Read, Amanda.R. Tarullo, Sarah.J. Schoppe-Sullivan, Moriah.E. Thomason, Julie.M. Braungart-Rieker, Julie.C. Lumeng, Shannon.N. Lenze, Lisa M. Christian, Darby.E. Saxbe, Laura.R. Stroud, Christina.M. Rodriguez, Stephanie Anzman-Frasca, Maria.A. Gartstein

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Effect of Telemedicine Use on Medical Spending and Health Care Utilization: A Machine Learning Approach by Ayesha Jamal, PhD

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Human identification via digital palatal scans: a machine learning validation pilot study by Ákos Mikolicz, Botond Simon, Aida Roudgari, Arvin Shahbazi, János Vág

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A comparative study of machine learning algorithms for predicting domestic violence vulnerability in Liberian women by Riaz Rahman, Md. Nafiul Alam Khan, Sabiha Shirin Sara, Md. Asikur Rahman, Zahidul Islam Khan

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Research on Infant Health Diagnosis and Intelligence Development Based on Machine Learning and Health Information Statistics by Siyu Wang, Min Li, Soo Boon Ng

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Machine learning to predict in‐hospital mortality among patients with severe obesity: Proof of concept study by Shelly Soffer, Eyal Zimlichman, Matthew A. Levin, Alexis M. Zebrowski, Benjamin S. Glicksberg, Robert Freeman, David L. Reich, Eyal Klang

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What influences individual perception of health? Using machine learning to disentangle self-perceived health by Jordi Gumà

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Risk Stratification for Early Detection of Diabetes and Hypertension in Resource-Limited Settings: Machine Learning Analysis by Boutilier, Justin J, Chan, Timothy C Y, Ranjan, Manish, Deo, Sarang

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Application of machine learning and its effects on the development of a nursing guidance mobile app for sarcopenia by Pei-Hung Liao, Yu-Jie Huang, Chen-Shie Ho, William Chu

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Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development by Ana Victoria Ponce‐Bobadilla, Vanessa Schmitt, Corinna S. Maier, Sven Mensing, Sven Stodtmann

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Machine learning to evaluate the relationship between social determinants and diabetes prevalence in New York City by Ann Aerts, Elizabeth Adamson, William B Weeks, Yongkang Zhang, Darren Tanner, Ji Eun Chang, Peter Speyer, Juan M Lavista Ferres

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Comparison of Machine Learning Models for Prediction of Initial Intravenous Immunoglobulin Resistance in Children With Kawasaki Disease by Yasutaka Kuniyoshi, Haruka Tokutake, Natsuki Takahashi, Azusa Kamura, Sumie Yasuda, Makoto Tashiro

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Construction of a molecular diagnostic system for neurogenic rosacea by combining transcriptome sequencing and machine learning by Rui Mao, Ji Li

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Machine Learning in FTIR Spectrum for the Identification of Antibiotic Resistance: A Demonstration with Different Species of Microorganisms by Claudia Patricia Barrera Patiño, Jennifer Machado Soares, Kate Cristina Blanco, Vanderlei Salvador Bagnato

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Dental Caries Risk Assessment in Children 5 Years Old and under via Machine Learning by Seyed-Ali, Ali Rahmani Qeranqayeh, Elhadj Benkhalifa, David Dyke, Lynda Taylor, Mahshid Bagheri

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