AIMC Topic: Hospital Mortality

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Prediction of mortality events of patients with acute heart failure in intensive care unit based on deep neural network.

Computer methods and programs in biomedicine Aug 30, 2024
BACKGROUND: Acute heart failure (AHF) in the intensive care unit (ICU) is characterized by its criticality, rapid progression, complex and changeable condition, and its pathophysiological process involves the interaction of multiple organs and system...
Electronic Health Records Female Risk Factors Aged Male Algorithms Databases, Factual Prognosis Intensive Care Units Heart Failure Middle Aged Humans Data Mining Neural Networks, Computer Deep Learning Machine Learning Hospital Mortality Acute Disease
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Development and Internal-External Validation of a Post-Operative Mortality Risk Calculator for Pediatric Surgical Patients in Low- and Middle- Income Countries Using Machine Learning.

Journal of pediatric surgery Aug 29, 2024
BACKGROUND: The purpose of this study was to develop and validate a mortality risk algorithm for pediatric surgery patients treated at KidsOR sites in 14 low- and middle-income countries.
Adolescent Child, Preschool Child Humans Developing Countries Hospital Mortality Female Machine Learning Surgical Procedures, Operative Male Algorithms Risk Assessment Retrospective Studies Postoperative Complications Infant
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Unsupervised machine learning to identify subphenotypes among cardiac intensive care unit patients with heart failure.

ESC heart failure Aug 19, 2024
AIMS: Hospitalized patients with heart failure (HF) are a heterogeneous population, with multiple phenotypes proposed. Prior studies have not examined the biological phenotypes of critically ill patients with HF admitted to the contemporary cardiac i...
Heart Failure Coronary Care Units Male Middle Aged Hospital Mortality Follow-Up Studies Unsupervised Machine Learning Intensive Care Units Humans Female Phenotype Aged Retrospective Studies Survival Rate
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Construction and evaluation of a mortality prediction model for patients with acute kidney injury undergoing continuous renal replacement therapy based on machine learning algorithms.

Annals of medicine Aug 19, 2024
BACKGROUND: To construct and evaluate a predictive model for in-hospital mortality among critically ill patients with acute kidney injury (AKI) undergoing continuous renal replacement therapy (CRRT), based on nine machine learning (ML) algorithm.
Humans Machine Learning Algorithms Retrospective Studies Continuous Renal Replacement Therapy Acute Kidney Injury Critical Illness United States Middle Aged Intensive Care Units Risk Assessment Female Hospital Mortality Aged ROC Curve Male Nomograms
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Early sepsis mortality prediction model based on interpretable machine learning approach: development and validation study.

Internal and emergency medicine Aug 14, 2024
Sepsis triggers a harmful immune response due to infection, causing high mortality. Predicting sepsis outcomes early is vital. Despite machine learning's (ML) use in medical research, local validation within the Medical Information Mart for Intensive...
Logistic Models Female Aged Adult Male Middle Aged China Sepsis Hospital Mortality ROC Curve Humans Machine Learning Prognosis
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Application of machine learning to predict in-hospital mortality after transcatheter mitral valve repair.

Surgery Aug 9, 2024
INTRODUCTION: Transcatheter mitral valve repair offers a minimally invasive treatment option for patients at high risk for traditional open repair. We sought to develop dynamic machine-learning risk prediction models for in-hospital mortality after t...
Female Aged Aged, 80 and over Male Middle Aged Humans Machine Learning Retrospective Studies Mitral Valve Insufficiency Heart Valve Prosthesis Implantation Cardiac Catheterization Risk Assessment Hospital Mortality United States Mitral Valve
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Prediction of 30-day mortality for ICU patients with Sepsis-3.

BMC medical informatics and decision making Aug 8, 2024
BACKGROUND: There is a growing demand for advanced methods to improve the understanding and prediction of illnesses. This study focuses on Sepsis, a critical response to infection, aiming to enhance early detection and mortality prediction for Sepsis...
Humans Machine Learning Male Prognosis Middle Aged Intensive Care Units Sepsis Female Hospital Mortality Aged
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Development and validation of prediction models for nosocomial infection and prognosis in hospitalized patients with cirrhosis.

Antimicrobial resistance and infection control Aug 7, 2024
BACKGROUND: Nosocomial infections (NIs) frequently occur and adversely impact prognosis for hospitalized patients with cirrhosis. This study aims to develop and validate two machine learning models for NIs and in-hospital mortality risk prediction.
Cross Infection Risk Assessment Hospital Mortality Liver Cirrhosis Area Under Curve Machine Learning Algorithms Risk Factors Prognosis Humans Hospitalization Female Aged Male Middle Aged
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Artificial intelligence prediction of In-Hospital mortality in patients with dementia: A multi-center study.

International journal of medical informatics Aug 6, 2024
BACKGROUND: Prediction of mortality is very important for care planning in hospitalized patients with dementia and artificial intelligence has the potential to serve as a solution; however, this issue remains unclear. Thus, this study was conducted t...
Logistic Models Support Vector Machine Male Middle Aged Dementia Hospital Mortality Humans Artificial Intelligence Algorithms Electronic Health Records Female Hospitalization Aged Aged, 80 and over
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Establishment and validation of an artificial intelligence web application for predicting postoperative in-hospital mortality in patients with hip fracture: a national cohort study of 52 707 cases.

International journal of surgery (London, England) Aug 1, 2024
BACKGROUND: In-hospital mortality following hip fractures is a significant concern, and accurate prediction of this outcome is crucial for appropriate clinical management. Nonetheless, there is a lack of effective prediction tools in clinical practic...
Humans Artificial Intelligence Machine Learning Female Cohort Studies Hospital Mortality Logistic Models Internet Aged Hip Fractures Aged, 80 and over Male Risk Assessment
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