Venous thromboembolism (VTE) is the third most common cause of vascular mortality
worldwide and comprises deep-vein thrombosis (DVT) and pulmonary embolism (PE). In …

Background Clinical prediction models are often not evaluated properly in specific settings
or updated, for instance, with information from new markers. These key steps are needed …

The generalizability of predictive algorithms is of key relevance to application in clinical
practice. We provide an overview of three types of generalizability, based on existing …

Background Although genotyping allows family screening and influences risk-stratification in
patients with nonischemic dilated cardiomyopathy (DCM) or isolated left ventricular systolic …

Introduction Machine learning (ML) corresponds to a wide variety of methods that use
mathematics, statistics and computational science to learn from multiple variables …

Background & Aims Individual risk prediction of liver-related events (LRE) is needed for
clinical assessment of nonalcoholic fatty liver disease (NAFLD)/nonalcoholic steatohepatitis …

Abstract Gestational Diabetes Mellitus (GDM) is a hyperglycemia state that impairs maternal
and offspring health, short and long-term. It is usually diagnosed at 24–28 weeks of …

SciELO - Brazil - Diretriz da SBC sobre Diagnóstico e Tratamento de Pacientes com
Cardiomiopatia da Doença de Chagas – 2023 Diretriz da SBC sobre Diagnóstico e Tratamento …

Objective The development of machine learning (ML) algorithms to address a variety of
issues faced in clinical practice has increased rapidly. However, questions have arisen …

Preoperative risk evaluation scores are used prior to surgery to predict perioperative risks.
They are also a useful tool to help clinicians communicate the risk–benefit balance of the …