Machine learning tool succeeds in predicting diabetes in high-risk patients
Worldwide, the prevalence of diabetes in adults is 9.3%, affecting more than 436 million people. Current estimates of
Worldwide, the prevalence of diabetes in adults is 9.3%, affecting more than 436 million people. Current estimates of
The growth of the development of Artificial Intelligence (AI) systems and machine learning models applied in clinical settings has also generated challenges in their
Researchers at the Johns Hopkins University School of Medicine implemented a machine learning system to optimize hospital admission decisions by
Study published in JAMA Cardiology incorporated social determinants of health into a machine learning model to predict the risk of heart failure and mortality
Mayo Clinic researchers developed a machine learning model to differentiate patients with acute cholangitis and hepatitis associated with alcoholism. A study presented
Risk scores are used to make more informed clinical decisions, and the implementation of machine learning is useful for the identification of
Research published in Science shows new findings on neuroanatomical variation in autism, which were achieved thanks to the use of machine learning. The
Researchers at the University of Florida Health (UFHealth) have developed a machine learning model that can help identify and predict complications in surgical interventions.
Study published in The Lancet, showed a method for the identification of long-term COVID-19 patients through machine learning and data
Nueva investigación mostró modelos de riesgo basados en aprendizaje automático que indican signos vitales, resultados exámenes de laboratorio y edad como factores asociados con casos