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2025	Identification of Mitochondrial and Succinylation Modification-Related Gene Signature in Ischemic Stroke Molecular Neurobiology Lixia Wang, Jishuai Zhao, Hui Cai, Xiaoling Ying, Yonglei Liu, Zeming Luo, Heyan Chen, Lin Yang
2025	COVID-19 risk stratification among older adults: a machine learning approach to identify personal and health-related risk factors BMC Public Health Arezoo Abasi, Seyed Abbas Motevalian, Haleh Ayatollahi
2025	Statistical, machine learning, and deep learning models for COVID-19 forecasting in Kenya Computational and Mathematical Biophysics Joyce Kiarie, Samuel Musili Mwalili, Rachel Mbogo, John Kamwele Mutinda, Amos Kipkorir Langat
2025	A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children PeerJ Sourav Paul, Minhazur Rahman, Anutee Dolley, Kasturi Saikia, Chongtham Shyamsunder Singh, Arifullah Mohammed, Ghazala Muteeb, Rosy Sarmah, Nima D. Namsa
2024	Machine learning algorithms for predicting COVID-19 mortality in Ethiopia BMC Public Health Melsew Setegn Alie, Yilkal Negesse, Kassa Kindie, Dereje Senay Merawi
2024	Identification of Biomarkers for Severity in COVID-19 Through Comparative Analysis of Five Machine Learning Algoritms F1000Research Juan P. Olán-Ramón, Freddy De la Cruz-Ruiz, Eduardo De la Cruz-Cano, Sarai Aguilar-Barojas, Erasmo Zamarron-Licona
2024	Leveraging neural networks for robust survival estimation in cox proportional hazards model with censored data Communications in Statistics: Case Studies, Data Analysis and Applications Nasrin Moradi, Arezou Habibirad, Hanieh Panahi
2024	2024 Control Instrumentation System Conference (CISCON) Aryan Rahul Shah, Ammu Anna Mathew, Karthikeyan V, Vivekanandan Shanmugasundaram
2023	Rapid Triage of Children with Suspected COVID-19 Using Laboratory-Based Machine-Learning Algorithms Viruses Dejan Dobrijević, Gordana Vilotijević-Dautović, Jasmina Katanić, Mirjana Horvat, Zoltan Horvat, Kristian Pastor
2023	A gradient boosting-based mortality prediction model for COVID-19 patients Neural Computing and Applications Sinem Bozkurt Keser, Kemal Keskin
2023	A new parallel multi-objective Harris hawk algorithm for predicting the mortality of COVID-19 patients PeerJ Computer Science Tansel Dokeroglu
2023	Investigating the performance of machine learning algorithms in predicting the survival of COVID‐19 patients: A cross section study of Iran Health Science Reports Azita Yazdani, Somayeh Kianian Bigdeli, Maryam Zahmatkeshan
2023	2023 International Conference on Advanced & Global Engineering Challenges (AGEC) Sivaramakrishnan S, Rajnivas B, Subapriya V, S Premalatha
2023	2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) S Geeitha., P Karthikeyan., S Aravinth., Pl Nachiappan., S Jagadeesh.
2023	2023 9th International Conference on Control, Decision and Information Technologies (CoDIT) Wiem Ben Ghozzi, Abir Chaabani, Zahra Kodia, Lamjed Ben Said
2022	Individual Factors Associated With COVID-19 Infection: A Machine Learning Study Frontiers in Public Health Tania Ramírez-del Real, Mireya Martínez-García, Manlio F. Márquez, Laura López-Trejo, Guadalupe Gutiérrez-Esparza, Enrique Hernández-Lemus
2022	A machine learning approach for identification of gastrointestinal predictors for the risk of COVID-19 related hospitalization PeerJ Peter Lipták, Peter Banovcin, Róbert Rosoľanka, Michal Prokopič, Ivan Kocan, Ivana Žiačiková, Peter Uhrik, Marian Grendar, Rudolf Hyrdel
2022	Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis Clinical Reviews in Allergy & Immunology Rundong Qin, Li He, Zhaowei Yang, Nan Jia, Ruchong Chen, Jiaxing Xie, Wanyi Fu, Hao Chen, Xinliu Lin, Renbin Huang, Tian Luo, Yukai Liu, Siyang Yao, Mei Jiang, Jing Li
2022	Applied Machine Learning for Assisted Living Zia Uddin
2022	Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial Journal of Clinical Medicine Edem Allado, Mathias Poussel, Justine Renno, Anthony Moussu, Oriane Hily, Margaux Temperelli, Eliane Albuisson, Bruno Chenuel
2022	A spatially based machine learning algorithm for potential mapping of the hearing senses in an urban environment Sustainable Cities and Society Mahsa Farahani, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki
2022	Application of machine learning models based on decision trees in classifying the factors affecting mortality of COVID-19 patients in Hamadan, Iran BMC Medical Informatics and Decision Making Samad Moslehi, Niloofar Rabiei, Ali Reza Soltanian, Mojgan Mamani
2022	Application of Artificial Intelligence Methods Depending on the Tasks Solved during COVID-19 Pandemic COVID Ivan Tolmachev, Irina Kaverina, Denis Vrazhnov, Iurii Starikov, Elena Starikova, Evgeny Kostuchenko
2022	Interpretable Machine Learning for Inpatient COVID-19 Mortality Risk Assessments: Diabetes Mellitus Exclusive Interplay Sensors Heydar Khadem, Hoda Nemat, Jackie Elliott, Mohammed Benaissa
2021	Lecture Notes in Computer Science Rita Zgheib, Firuz Kamalov, Ghazar Chahbandarian, Osman El Labban
2021	COVID-19 Mortality Prediction Using Machine Learning-Integrated Random Forest Algorithm under Varying Patient Frailty Mathematics Erwin Cornelius, Olcay Akman, Dan Hrozencik
2021	Exploring temporal varying demographic and economic disparities in COVID-19 infections in four U.S. areas: based on OLS, GWR, and random forest models Computational Urban Science Junfeng Jiao, Yefu Chen, Amin Azimian
2021	Predicción de la Efectividad de las Pruebas Rápidas Realizadas a Pacientes con COVID-19 mediante Regresión Lineal y Random Forest Ecuadorian Science Journal Darwin Patiño Pérez, Celia Munive Mora, Lorenzo Cevallos-Torres, Miguel Botto-Tobar
2021	The role of European health system characteristics in affecting Covid 19 lethality during the early days of the pandemic Scientific Reports Monica Giancotti, Milena Lopreite, Marianna Mauro, Michelangelo Puliga
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