Advanced Hybrid Machine Learning Model for Accurate Detection of Cardiovascular Disease by Navita, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Kashif Saleem, Ehab Seif Ghith

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Transforming Cardiac Care: Machine Learning in Heart Condition Prediction Using Phonocardiograms by Sandra D’Souza, Niranjan Reddy S, Saikonda Krishna Tarun, Sohan P, aneesha acharya k

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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

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Multimodal Computational Approach for Forecasting Cardiovascular Aging Based on Immune and Clinical–Biochemical Parameters by Madina Suleimenova, Kuat Abzaliyev, Ainur Manapova, Madina Mansurova, Symbat Abzaliyeva, Saule Doskozhayeva, Akbota Bugibayeva, Almagul Kurmanova, Diana Sundetova, Merey Abdykassymova, Ulzhas Sagalbayeva

“…<b>Background</b>: This study presents an innovative approach to cardiovascular disease (CVD) risk prediction based on a comprehensive analysis of clinical, immunological and biochemical markers using mathematical modelling and machine learning methods. …”
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Predicting cardiovascular risk with hybrid ensemble learning and explainable AI by Pooja Shah, Madhu Shukla, Neel H. Dholakia, Himanshu Gupta

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The association of life’s essential 8 with prevalence of chronic respiratory diseases in adults: insights from NHANES 2007–2018 by Liu Fen, Li Yan, Zhao Fei, Kuai Zhong-Kai, You Ya-Yu, Hong Xiu-Qin, Wen Si-Ao, Liu Zheng-Yu, Pan Hong-Wei

“…Machine learning models identified smoking and LE8 score as the top two factors associated with CRDs. …”
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