Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …
above certain limits. Over the last years, machine and deep learning techniques have been …
Pharmacological blood pressure lowering for primary and secondary prevention of cardiovascular disease across different levels of blood pressure: an individual …
Background The effects of pharmacological blood pressure lowering at normal or high-
normal blood pressure ranges in people with or without pre-existing cardiovascular disease …
normal blood pressure ranges in people with or without pre-existing cardiovascular disease …
Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review
Y Cai, YQ Cai, LY Tang, YH Wang, M Gong, TC **g… - BMC medicine, 2024 - Springer
Background A comprehensive overview of artificial intelligence (AI) for cardiovascular
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …
disease (CVD) prediction and a screening tool of AI models (AI-Ms) for independent external …
[HTML][HTML] Pitfalls in develo** machine learning models for predicting cardiovascular diseases: challenge and solutions
YQ Cai, DX Gong, LY Tang, Y Cai, HJ Li… - Journal of Medical …, 2024 - jmir.org
In recent years, there has been explosive development in artificial intelligence (AI), which
has been widely applied in the health care field. As a typical AI technology, machine …
has been widely applied in the health care field. As a typical AI technology, machine …
Association of cumulative systolic blood pressure with long-term risk of cardiovascular disease and healthy longevity: findings from the lifetime risk pooling project …
Hypertension is a major risk factor for cardiovascular disease (CVD), but previous studies
have mostly been limited to a single exam, a single cohort, a short follow-up period, or a …
have mostly been limited to a single exam, a single cohort, a short follow-up period, or a …
Systolic blood pressure and risk of valvular heart disease: a Mendelian randomization study
Importance Modifiable risk factors for valvular heart disease remain largely unknown, which
limits prevention and treatment. Objective To assess the association between systolic blood …
limits prevention and treatment. Objective To assess the association between systolic blood …
Longitudinal blood pressure patterns and cardiovascular disease risk
Observational and interventional studies have unequivocally demonstrated that “present”, ie
single-occasion, blood pressure is one of the key determinants of cardiovascular disease …
single-occasion, blood pressure is one of the key determinants of cardiovascular disease …
Cardiometabolic risk prediction algorithms for young people with psychosis: a systematic review and exploratory analysis
Objective Cardiometabolic risk prediction algorithms are common in clinical practice. Young
people with psychosis are at high risk for develo** cardiometabolic disorders. We aimed …
people with psychosis are at high risk for develo** cardiometabolic disorders. We aimed …
Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review
Objective The identification of methodology for modelling cardiovascular disease (CVD) risk
using longitudinal data and risk factor trajectories. Methods We screened MEDLINE-Ovid …
using longitudinal data and risk factor trajectories. Methods We screened MEDLINE-Ovid …
Multi-morbidity and blood pressure trajectories in hypertensive patients: A multiple landmark cohort study
Background Our knowledge of how to better manage elevated blood pressure (BP) in the
presence of comorbidities is limited, in part due to exclusion or underrepresentation of …
presence of comorbidities is limited, in part due to exclusion or underrepresentation of …