AIMC Topic: Mortality

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Comment on 'study and validation of an explainable machine learning-based mortality prediction following emergency surgery in the elderly: a prospective observational study'.

International journal of surgery (London, England) Apr 1, 2023
Humans Emergencies Observational Studies as Topic Surgical Procedures, Operative Mortality Machine Learning Forecasting Prospective Studies Aged
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Style-transfer counterfactual explanations: An application to mortality prevention of ICU patients.

Artificial intelligence in medicine Nov 23, 2022
In recent years, machine learning methods have been rapidly adopted in the medical domain. However, current state-of-the-art medical mining methods usually produce opaque, black-box models. To address the lack of model transparency, substantial atten...
Machine Learning Intensive Care Units Mortality Humans
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Detection of the Relationship between the Multi-Dimensional Data Sets of Serially Measured Blood Pressure and the Future Risk of Death in Healthy Elderly Japanese Population.

Journal of atherosclerosis and thrombosis Oct 21, 2022
AIMS: Whether the multi-dimensional data of serially measured blood pressure contains information for predicting the future risk of death in elderly individuals in nursing homes is unclear.
Blood Pressure Mortality Humans Neural Networks, Computer Artificial Intelligence Aged East Asian People
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Prediction algorithm for ICU mortality and length of stay using machine learning.

Scientific reports Jul 28, 2022
Machine learning can predict outcomes and determine variables contributing to precise prediction, and can thus classify patients with different risk factors of outcomes. This study aimed to investigate the predictive accuracy for mortality and length...
Length of Stay Area Under Curve Mortality Machine Learning Algorithms Retrospective Studies Intensive Care Units Humans
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Combining machine learning and conventional statistical approaches for risk factor discovery in a large cohort study.

Scientific reports Nov 26, 2021
We present a simple and efficient hypothesis-free machine learning pipeline for risk factor discovery that accounts for non-linearity and interaction in large biomedical databases with minimal variable pre-processing. In this study, mortality models ...
Humans Machine Learning Databases, Factual Female Cohort Studies United Kingdom Cognition Disorders Smoking Risk Factors Aged Male Middle Aged Life Style Mortality
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Prediction Model Using Machine Learning for Mortality in Patients with Heart Failure.

The American journal of cardiology Jul 7, 2021
Heart Failure (HF) is a major cause of morbidity and mortality in the US. With aging of the US population, the public health burden of HF is enormous. We aimed to develop an ensemble prediction model for 30-day mortality after discharge using machine...
Heart Failure Mortality Clinical Decision Rules Machine Learning Female Hospitalization Aged Aged, 80 and over Male Middle Aged Cause of Death Humans
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Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations.

PloS one Jun 3, 2021
OBJECTIVE: This study aimed to develop and validate a claims-based, machine learning algorithm to predict clinical outcomes across both medical and surgical patient populations.
Mortality Treatment Outcome Area Under Curve Medicare Databases, Factual Retrospective Studies Hospitalization Risk Assessment ROC Curve Logistic Models United States Models, Theoretical Humans Machine Learning
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Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation.

Journal of medical Internet research Apr 19, 2021
BACKGROUND: The number of deaths from COVID-19 continues to surge worldwide. In particular, if a patient's condition is sufficiently severe to require invasive ventilation, it is more likely to lead to death than to recovery.
Child Models, Statistical Mortality Infant Adolescent Child, Preschool Humans SARS-CoV-2 Risk Factors Aged Aged, 80 and over Young Adult Adult Male Middle Aged Retrospective Studies Republic of Korea Female Infant, Newborn Artificial Intelligence COVID-19 Research Design
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Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016.

JAMA network open Apr 1, 2021
IMPORTANCE: Quality improvement programs for colorectal cancer surgery have been introduced with benchmarking based on quality indicators, such as mortality. Detailed (pre)operative characteristics may offer relevant information for proper case-mix c...
Laparoscopy Myocardial Infarction Netherlands Patient Readmission Colectomy Multivariate Analysis Mortality Logistic Models Hypertension Support Vector Machine Area Under Curve Middle Aged Comorbidity Length of Stay Humans Machine Learning Intensive Care Units Pulmonary Disease, Chronic Obstructive Asthma Colorectal Neoplasms Male Female Risk Factors Aged Aged, 80 and over
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A Clinically Practical and Interpretable Deep Model for ICU Mortality Prediction with External Validation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Deep learning models are increasingly studied in the field of critical care. However, due to the lack of external validation and interpretability, it is difficult to generalize deep learning models in critical care senarios. Few works have validated ...
Critical Care Mortality Humans Neural Networks, Computer Intensive Care Units
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