Search Results - "predictive modelling"

Machine-Learning vs. Expert-Opinion Driven Logistic Regression Modelling for Predicting 30-Day Unplanned Rehospitalisation in Preterm Babies: A Prospective, Population-Based Study... by Robert A. Reed, Andrei S. Morgan, Andrei S. Morgan, Andrei S. Morgan, Jennifer Zeitlin, Pierre-Henri Jarreau, Pierre-Henri Jarreau, Héloïse Torchin, Héloïse Torchin, Véronique Pierrat, Véronique Pierrat, Pierre-Yves Ancel, Pierre-Yves Ancel, Babak Khoshnood

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Development of new scores for atherosclerotic cardiovascular disease using specific medical examination items: the Suita Study by Ahmed Arafa, Rena Kashima, Yuka Yasui, Haruna Kawachi, Chisa Matsumoto, Saya Nosaka, Masayuki Teramoto, Miki Matsuo, Yoshihiro Kokubo

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Integrating Machine Learning and the SHapley Additive exPlanations (SHAP) Framework to Predict Lymph Node Metastasis in Gastric Cancer Patients Based on Inflammation Indices and Pe... by Zhu Z, Wang C, Shi L, Li M, Li J, Liang S, Yin Z, Xue Y

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Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques by 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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Outcomes of prolonged mechanic ventilation: a discrimination model based on longitudinal health insurance and death certificate data by Lu Hsin-Ming, Chen Likwang, Wang Jung-Der, Hung Mei-Chuan, Lin Ming-Shian, Yan Yuan-Horng, Chen Cheng-Ren, Fan Po-Sheng, Huang Lynn, Kuo Ken N

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Predictors of Smoking Cessation in a Lifestyle-Focused Text-Message Support Programme Delivered to People with Coronary Heart Disease: An Analysis From the Tobacco Exercise and Die... by Harry Klimis, Simone Marschner, Amy Von Huben, Aravinda Thiagalingam, Clara K Chow

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Predicting Abrocitinib Efficacy at Week 12 Based on Clinical Response at Week 4: A Post Hoc Analysis of Four Randomized Studies in Moderate-to-Severe Atopic Dermatitis by April W. Armstrong, Andrew F. Alexis, Andrew Blauvelt, Jonathan I. Silverberg, Claire Feeney, Mark Levenberg, Gary Chan, Fan Zhang, Luke Fostvedt

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A New Scoring System for Prediction of Intravenous Immunoglobulin Resistance of Kawasaki Disease in Infants Under 1-Year Old by Shu Wu, Shu Wu, Yuan Long, Selena Chen, Yaqian Huang, Ying Liao, Yan Sun, Qingyou Zhang, Chunyu Zhang, Hui Yan, Jianguang Qi, Xueqin Liu, Yonghong Chen, Yong Zhang, Junbao Du, Junbao Du

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Leveraging Providers' Preferences to Customize Instructional Content in Information and Communications Technology-Based Training Interventions: Retrospective Analysis of a Mobile P... by Tyagi, Hanu, Sabharwal, Manisha, Dixit, Nishi, Pal, Arnab, Deo, Sarang

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Accuracy of Machine Learning in Discriminating Kawasaki Disease and Other Febrile Illnesses: Systematic Review and Meta-Analysis by Jinpu Zhu, Fushuang Yang, Yang Wang, Zhongtian Wang, Yao Xiao, Lie Wang, Liping Sun

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Determinants and prediction of Chlamydia trachomatis re-testing and re-infection within 1 year among heterosexuals with chlamydia attending a sexual health clinic by Xianglong Xu, Xianglong Xu, Xianglong Xu, Eric P. F. Chow, Eric P. F. Chow, Eric P. F. Chow, Christopher K. Fairley, Christopher K. Fairley, Marcus Chen, Marcus Chen, Ivette Aguirre, Jane Goller, Jane Hocking, Natalie Carvalho, Lei Zhang, Lei Zhang, Lei Zhang, Jason J. Ong, Jason J. Ong, Jason J. Ong

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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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A Mobile Sensing App to Monitor Youth Mental Health: Observational Pilot Study by Lucy MacLeod, Banuchitra Suruliraj, Dominik Gall, Kitti Bessenyei, Sara Hamm, Isaac Romkey, Alexa Bagnell, Manuel Mattheisen, Viswanath Muthukumaraswamy, Rita Orji, Sandra Meier

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Development of a resource modelling tool to support decision makers in pandemic influenza preparedness: The AsiaFluCap Simulator by Stein Mart, Rudge James W, Coker Richard, van der Weijden Charlie, Krumkamp Ralf, Hanvoravongchai Piya, Chavez Irwin, Putthasri Weerasak, Phommasack Bounlay, Adisasmito Wiku, Touch Sok, Sat Le, Hsu Yu-Chen, Kretzschmar Mirjam, Timen Aura

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A prospective cohort study providing insights for markers of adverse pregnancy outcome in older mothers by Samantha C. Lean, Rebecca L. Jones, Stephen A. Roberts, Alexander E. P. Heazell

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Identifying a subpopulation with higher likelihoods of early response to treatment in a heterogeneous rare disease: a post hoc study of response to teduglutide for short bowel synd... by Chen KS, Xie J, Tang W, Zhao J, Jeppesen PB, Signorovitch JE

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Digital generation in the context of predicting the professional future by E. F. Zeer, N. G. Tserkovnikova, V. S. Tretyakova

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Personal Health Information Inference Using Machine Learning on RNA Expression Data from Patients With Cancer: Algorithm Validation Study by Kweon, Solbi, Lee, Jeong Hoon, Lee, Younghee, Park, Yu Rang

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K-Means Clustering Machine Learning Approach Reveals Groups of Homogeneous Individuals With Unique Brain Activation, Task, and Performance Dynamics Using fNIRS by Manob Jyoti Saikia

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Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU by Alyaa Elhazmi, Awad Al-Omari, Hend Sallam, Hani N. Mufti, Ahmed A. Rabie, Mohammed Alshahrani, Ahmed Mady, Adnan Alghamdi, Ali Altalaq, Mohamed H. Azzam, Anees Sindi, Ayman Kharaba, Zohair A. Al-Aseri, Ghaleb A. Almekhlafi, Wail Tashkandi, Saud A. Alajmi, Fahad Faqihi, Abdulrahman Alharthy, Jaffar A. Al-Tawfiq, Rami Ghazi Melibari, Waleed Al-Hazzani, Yaseen M. Arabi

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