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Integration of risk factor polygenic risk score with disease polygenic risk score for disease prediction
Polygenic risk score (PRS) is useful for capturing an individual’s genetic susceptibility. However, previous studies have not fully exploited the...
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Race as a Component of Cardiovascular Disease Risk Prediction Algorithms
Purpose of ReviewSeveral prediction algorithms include race as a component to account for race-associated variations in disease frequencies. This...
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Incorporating longitudinal history of risk factors into atherosclerotic cardiovascular disease risk prediction using deep learning
It is increasingly clear that longitudinal risk factor levels and trajectories are related to risk for atherosclerotic cardiovascular disease (ASCVD)...
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Statistical Methods for Disease Risk Prediction with Genotype Data
Single-nucleotide polymorphism (SNP) is the basic unit to understand the heritability of complex traits. One attractive application of the...
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A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease
Identification of individuals at highest risk of coronary artery disease (CAD)—ideally before onset—remains an important public health need. Prior...
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Risk-prediction models for intravenous immunoglobulin resistance in Kawasaki disease: Risk-of-Bias Assessment using PROBAST
BackgroundThe prediction model of intravenous immunoglobulin (IVIG) resistance in Kawasaki disease can calculate the probability of IVIG resistance...
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Statistical Analysis of Renal Risk Factors and Prediction of Chronic Kidney Disease
An extensive world population, in particular aged people, is suffering from chronic kidney disease (CKD). Early prediction of CKD is crucial in...
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Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction
BackgroundThe polygenic nature of Alzheimer’s disease (AD) suggests that multiple variants jointly contribute to disease susceptibility. As an...
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Prediction of Heart Disease Risk in Early Ages with Boosting Techniques
Heart disease is one of the top causes of mortality globally. Early detection can save a person's life. In previous five years, it is found that...
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Federated Edge-Cloud Framework for Heart Disease Risk Prediction Using Blockchain
Heart disease is a term used to describe a range of conditions that affect the heart, such as coronary artery disease, heart failure, and...
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Risk Prediction and Follow-Up
In this chapter, we will examine three topics: (1) the follow-up of subjects at risk of develo** cardiac amyloidosis (CA); (2) risk stratification...
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Development and validation of a risk prediction model for valve regurgitation in Behçet’s disease
BackgroundIn Behçet’s disease (BD), mild-to-severe valvular regurgitation (VR) poses a serious complication that contributes significantly to heart...
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Multi-risk factors joint prediction model for risk prediction of retinopathy of prematurity
PurposeRetinopathy of prematurity (ROP) is a retinal vascular proliferative disease common in low birth weight and premature infants and is one of...
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Prediction of cardiovascular disease risk based on major contributing features
The risk of cardiovascular disease (CVD) is a serious health threat to human society worldwide. The use of machine learning methods to predict the...
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Prediction and stratification of longitudinal risk for chronic obstructive pulmonary disease across smoking behaviors
Smoking is the leading risk factor for chronic obstructive pulmonary disease (COPD) worldwide, yet many people who never smoke develop COPD. We...
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A deep clustering-based state-space model for improved disease risk prediction in personalized healthcare
Decision support systems are being developed to assist clinicians in complex decision-making processes by leveraging information from clinical...
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EHRT-RWB: A Novel Ensemble Hybrid Recurrent Transformer for Multimodal Heart Disease Risk Prediction
The disease that contains the highest mortality and morbidity across the world is cardiac disease. Annually millions of people are affected and...
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Obesity disease risk prediction using machine learning
Obesity is a global issue that harms everyone’s health, regardless of age or gender. An excessive or abnormal amount of body fat is referred to as...
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Polygenic risk scores for disease risk prediction in Africa: current challenges and future directions
Early identification of genetic risk factors for complex diseases can enable timely interventions and prevent serious outcomes, including mortality....
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A Data-Driven Approach for Building a Cardiovascular Disease Risk Prediction System
Cardiovascular disease is a leading cause of mortality worldwide. The disease can develop without showing apparent symptoms at an early stage, making...