Machine Learning-Based Models Incorporating Social Determinants of Health vs Traditional Models for Predicting In-Hospital Mortality in Patients With Heart Failure.
Sign Up to like & getrecommendations! Published in 2022 at "JAMA cardiology"
DOI: 10.1001/jamacardio.2022.1900
Abstract: Importance Traditional models for predicting in-hospital mortality for patients with heart failure (HF) have used logistic regression and do not account for social determinants of health (SDOH). Objective To develop and validate novel machine learning… read more here.
Keywords: black patients; race; non black; predicting hospital ... See more keywords
Predicting in-hospital mortality for MIMIC-III patients: A nomogram combined with SOFA score
Sign Up to like & getrecommendations! Published in 2022 at "Medicine"
DOI: 10.1097/md.0000000000031251
Abstract: Predicting the mortality of patients provides a reference for doctors to judge their physical condition. This study aimed to construct a nomogram to improve the prediction accuracy of patients’ mortality. Patients with severe diseases were… read more here.
Keywords: predicting hospital; hospital mortality; mortality; mimic iii ... See more keywords
A new scoring system for predicting in‐hospital death after lung cancer surgery (the SABCIP score) using a Japanese nationwide administrative database
Sign Up to like & getrecommendations! Published in 2022 at "Thoracic Cancer"
DOI: 10.1111/1759-7714.14343
Abstract: We aimed to develop and validate a new risk scoring tool for predicting in‐hospital mortality after lung cancer surgery. read more here.
Keywords: predicting hospital; lung cancer; cancer surgery; cancer ... See more keywords
Reply to: Comment on Predicting In‐Hospital Mortality in COVID‐19 Older Patients with Specifically Developed Scores
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the American Geriatrics Society"
DOI: 10.1111/jgs.17031
Abstract: This letter comments on the letter by Alain Putot read more here.
Keywords: mortality covid; hospital mortality; predicting hospital; comment predicting ... See more keywords
Machine Learning for Predicting In-Hospital Mortality After Traumatic Brain Injury in Both High-Income and Low- and Middle-Income Countries
Sign Up to like & getrecommendations! Published in 2022 at "Neurosurgery"
DOI: 10.1227/neu.0000000000001898
Abstract: BACKGROUND: Machine learning (ML) holds promise as a tool to guide clinical decision making by predicting in-hospital mortality for patients with traumatic brain injury (TBI). Previous models such as the international mission for prognosis and… read more here.
Keywords: traumatic brain; predicting hospital; hospital mortality; injury ... See more keywords
External validation of the SWEDEHEART score for predicting in-hospital major bleeding among East Asian patients with acute myocardial infarction
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Cardiovascular Medicine"
DOI: 10.3389/fcvm.2022.1001261
Abstract: Background Risk scores for predicting in-hospital major bleeding in patients with acute myocardial infarction (AMI) are rare. The Swedish web-system for the enhancement and development of evidence-based care in heart disease evaluated according to recommended… read more here.
Keywords: east asian; major bleeding; external validation; predicting hospital ... See more keywords
Simplified acute physiology score III is excellent for predicting in-hospital mortality in coronary care unit patients with acute myocardial infarction: A retrospective study
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Cardiovascular Medicine"
DOI: 10.3389/fcvm.2022.989561
Abstract: Background Coronary care unit (CCU) patients with acute myocardial infarction (AMI) lack effective predictors of in-hospital mortality. This study aimed to investigate the performance of four scoring systems in predicting in-hospital mortality in CCU patients… read more here.
Keywords: predicting hospital; hospital mortality; physiology; saps iii ... See more keywords
Predicting Hospital Demand During the COVID-19 Outbreak in Bogotá, Colombia
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DOI: 10.3389/fpubh.2020.582706
Abstract: Colombia, like many developing nations, does not have a strong health system able to respond to a pandemic of the magnitude of Covid-19. There is an increasing need to create a model that allows particular… read more here.
Keywords: bogot colombia; predicting hospital; covid; model ... See more keywords
Predicting Hospital Readmission for Campylobacteriosis from Electronic Health Records: A Machine Learning and Text Mining Perspective
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm12010086
Abstract: (1) Background: This study investigates influential risk factors for predicting 30-day readmission to hospital for Campylobacter infections (CI). (2) Methods: We linked general practitioner and hospital admission records of 13,006 patients with CI in Wales… read more here.
Keywords: predicting hospital; health records; readmission; term ... See more keywords
Predicting Hospital Ward Admission from the Emergency Department: A Systematic Review
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Personalized Medicine"
DOI: 10.3390/jpm13050849
Abstract: Background: The emergency department (ED) is often overburdened, due to the high influx of patients and limited availability of attending physicians. This situation highlights the need for improvement in the management of, and assistance provided… read more here.
Keywords: emergency department; predicting hospital; systematic review;