Zoekresultaten - "Machine Learning"

Machine learning models of tobacco susceptibility and current use among adolescents from 97 countries in the Global Youth Tobacco Survey, 2013-2017 door Nayoung Kim, Wei-Yin Loh, Danielle E. McCarthy

Connect to this object online.

Machine learning model demonstrates stunting at birth and systemic inflammatory biomarkers as predictors of subsequent infant growth - a four-year prospective study door Elizabeth Harrison, Sana Syed, Lubaina Ehsan, Najeeha T. Iqbal, Kamran Sadiq, Fayyaz Umrani, Sheraz Ahmed, Najeeb Rahman, Sadaf Jakhro, Jennie Z. Ma, Molly Hughes, S. Asad Ali

Connect to this object online.

Safeguarding Athletes Against Head Injuries Through Advances in Technology: A Scoping Review of the Uses of Machine Learning in the Management of Sports-Related Concussion door Anne Tjønndal, Stian Røsten

Connect to this object online.

A novel analytical framework for risk stratification of real‐world data using machine learning: A small cell lung cancer study door Luca Marzano, Adam S. Darwich, Salomon Tendler, Asaf Dan, Rolf Lewensohn, Luigi De Petris, Jayanth Raghothama, Sebastiaan Meijer

Connect to this object online.

Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia. door Naizhuo Zhao, Katia Charland, Mabel Carabali, Elaine O Nsoesie, Mathieu Maheu-Giroux, Erin Rees, Mengru Yuan, Cesar Garcia Balaguera, Gloria Jaramillo Ramirez, Kate Zinszer

Connect to this object online.

Association between machine learning-assisted heavy metal exposures and diabetic kidney disease: a cross-sectional survey and Mendelian randomization analysis door Ruiqi Zhao, Sen Lin, Mengyao Han, Zhimei Lin, Mengjiao Yu, Bei Zhang, Lanyue Ma, Danfei Li, Lisheng Peng

Connect to this object online.

Identification of the high-risk area for schistosomiasis transmission in China based on information value and machine learning: a newly data-driven modeling attempt door Yan-Feng Gong, Ling-Qian Zhu, Yin-Long Li, Li-Juan Zhang, Jing-Bo Xue, Shang Xia, Shan Lv, Jing Xu, Shi-Zhu Li

Connect to this object online.

Machine learning models to predict outcomes at 30‐days using Global Leadership Initiative on Malnutrition combinations with and without muscle mass in people with cancer door Nicole Kiss, Belinda Steer, Marian de van derSchueren, Jenelle Loeliger, Roohallah Alizadehsani, Lara Edbrooke, Irene Deftereos, Erin Laing, Abbas Khosravi

Connect to this object online.

The Effectiveness of Machine Learning Systems' Accuracy in Predicting Heart Stroke Using Socio-Demographic and Risk Factors - A Comparative Analysis of Various Models door Nihar Ranjan Panda, Kamal Lochan Mahanta, Jitendra Kumar Pati, Ruchi Bhuyan, Soumya subhashree satapathy

Connect to this object online.

Predicting newborn birth outcomes with prenatal maternal health features and correlates in the United States: a machine learning approach using archival data door Robert D. Henry

Connect to this object online.

A Multimorbidity Analysis of Hospitalized Patients With COVID-19 in Northwest Italy: Longitudinal Study Using Evolutionary Machine Learning and Health Administrative Data door Dayana Benny, Mario Giacobini, Alberto Catalano, Giuseppe Costa, Roberto Gnavi, Fulvio Ricceri

Connect to this object online.

Clinical Hematochemical Parameters in Differential Diagnosis between Pediatric SARS-CoV-2 and Influenza Virus Infection: An Automated Machine Learning Approach door Dejan Dobrijević, Jelena Antić, Goran Rakić, Jasmina Katanić, Ljiljana Andrijević, Kristian Pastor

Connect to this object online.

Identification of Drug Targets and Their Inhibitors in <i>Yersinia pestis</i> Strain 91001 through Subtractive Genomics, Machine Learning, and MD Simulation Approaches door Hamid Ali, Abdus Samad, Amar Ajmal, Amjad Ali, Ijaz Ali, Muhammad Danial, Masroor Kamal, Midrar Ullah, Riaz Ullah, Muhammad Kalim

Connect to this object online.

An interpretable machine-learning model for predicting the efficacy of nonsteroidal anti-inflammatory drugs for closing hemodynamically significant patent ductus arteriosus in preterm infants door Tai-Xiang Liu, Jin-Xin Zheng, Jin-Xin Zheng, Zheng Chen, Zheng Chen, Zi-Chen Zhang, Dan Li, Li-Ping Shi

Connect to this object online.

Understanding the vaccine stance of Italian tweets and addressing language changes through the COVID-19 pandemic: Development and validation of a machine learning model door Susan Cheatham, Per E. Kummervold, Lorenza Parisi, Barbara Lanfranchi, Ileana Croci, Francesca Comunello, Maria Cristina Rota, Antonietta Filia, Alberto Eugenio Tozzi, Caterina Rizzo, Caterina Rizzo, Francesco Gesualdo

Connect to this object online.

Predicting Beta-Lactam Target Non-Attainment in ICU Patients at Treatment Initiation: Development and External Validation of Three Novel (Machine Learning) Models door André Wieringa, Tim M. J. Ewoldt, Ravish N. Gangapersad, Matthias Gijsen, Nestor Parolya, Chantal J. A. R. Kats, Isabel Spriet, Henrik Endeman, Jasper J. Haringman, Reinier M. van Hest, Birgit C. P. Koch, Alan Abdulla

Connect to this object online.

Network Pharmacology Analysis and Machine-Learning Models Confirmed the Ability of YiShen HuoXue Decoction to Alleviate Renal Fibrosis by Inhibiting Pyroptosis door Feng M, Luo F, Wu H, Chen Y, Zuo J, Weng X, Chen G, Zhong J

Connect to this object online.

Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study door Hsu, Chien-Ning, Liu, Chien-Liang, Tain, You-Lin, Kuo, Chin-Yu, Lin, Yun-Chun

Connect to this object online.

Integrating Machine Learning-Based Virtual Screening With Multiple Protein Structures and Bio-Assay Evaluation for Discovery of Novel GSK3β Inhibitors door Jingyu Zhu, Yuanqing Wu, Man Wang, Kan Li, Lei Xu, Yun Chen, Yanfei Cai, Jian Jin

Connect to this object online.

Prior drug allergies are associated with worse outcome in patients with idiosyncratic drug-induced liver injury: A machine learning approach for risk stratification door Hao Niu, Pablo Solis-Muñoz, Miren García-Cortés, Judith Sanabria-Cabrera, Mercedes Robles-Diaz, Rocío Romero-Flores, Elvira Bonilla-Toyos, Aida Ortega-Alonso, José M. Pinazo-Bandera, María R. Cabello, Fernando Bessone, Nelia Hernandez, M. Isabel Lucena, Raúl J. Andrade, Inmaculada Medina-Caliz, Ismael Alvarez-Alvarez

Connect to this object online.