首页|King's College Researcher Describes Advances in Machine Learning (New horizons i n prediction modelling using machine learning in older people's healthcare resea rch)

King's College Researcher Describes Advances in Machine Learning (New horizons i n prediction modelling using machine learning in older people's healthcare resea rch)

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Data detailed on artificial intelligen ce have been presented. According to news originating from London, United Kingdo m, by NewsRx editors, the research stated, "Machine learning (ML) and prediction modelling have become increasingly influential in healthcare, providing critica l insights and supporting clinical decisions, particularly in the age of big dat a." Funders for this research include National Institute For Health Research (Nihr) Biomedical Research Centre At South London; Maudsley Nhs Foundation Trust And Ki ng's College London. Our news editors obtained a quote from the research from King's College: "This p aper serves as an introductory guide for health researchers and readers interest ed in prediction modelling and explores how these technologies support clinical decisions, particularly with big data, and covers all aspects of the development , assessment and reporting of a model using ML. The paper starts with the import ance of prediction modelling for precision medicine. It outlines different types of prediction and machine learning approaches, including supervised, unsupervis ed and semi-supervised learning, and provides an overview of popular algorithms for various outcomes and settings. It also introduces key theoretical ML concept s. The importance of data quality, preprocessing and unbiased model performance evaluation is highlighted. Concepts of apparent, internal and external validatio n will be introduced along with metrics for discrimination and calibration for d ifferent types of outcomes."

King's CollegeLondonUnited KingdomEuropeCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.8)