Artificial intelligence and machine learning in precision and genomic medicine
S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …
symptom-driven treatment process by allowing early risk prediction of disease through …
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
Evaluation of clinical prediction models (part 1): from development to external validation
Evaluating the performance of a clinical prediction model is crucial to establish its predictive
accuracy in the populations and settings intended for use. In this article, the first in a three …
accuracy in the populations and settings intended for use. In this article, the first in a three …
Polygenic risk scores: from research tools to clinical instruments
Genome-wide association studies have shown unequivocally that common complex
disorders have a polygenic genetic architecture and have enabled researchers to identify …
disorders have a polygenic genetic architecture and have enabled researchers to identify …
Machine learning prediction in cardiovascular diseases: a meta-analysis
C Krittanawong, RD Riley, KIE Snell, J Ensor, DL Burke… - Statistics in …, 2019 - Wiley Online Library
When designing a study to develop a new prediction model with binary or time‐to‐event
outcomes, researchers should ensure their sample size is adequate in terms of the number …
outcomes, researchers should ensure their sample size is adequate in terms of the number …
Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants
Background Identifying people at risk of cardiovascular diseases (CVD) is a cornerstone of
preventative cardiology. Risk prediction models currently recommended by clinical …
preventative cardiology. Risk prediction models currently recommended by clinical …
Predictive accuracy of a polygenic risk score–enhanced prediction model vs a clinical risk score for coronary artery disease
Importance The incremental value of polygenic risk scores in addition to well-established
risk prediction models for coronary artery disease (CAD) is uncertain. Objective To examine …
risk prediction models for coronary artery disease (CAD) is uncertain. Objective To examine …