AIMC Topic: Cause of Death

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Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative data.

Scientific reports Sep 15, 2021
Our aim was to investigate the usefulness of machine learning approaches on linked administrative health data at the population level in predicting older patients' one-year risk of acute coronary syndrome and death following the use of non-steroidal ...
Female Risk Factors Male Risk Assessment Comorbidity Humans Machine Learning Prognosis Cause of Death Disease Management Acute Coronary Syndrome Proportional Hazards Models Disease Susceptibility ROC Curve Models, Theoretical Australia Anti-Inflammatory Agents, Non-Steroidal Area Under Curve
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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...
Clinical Decision Rules Female Hospitalization Humans Aged Machine Learning Aged, 80 and over Male Middle Aged Cause of Death Heart Failure Mortality
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Extracting Cause of Death From Verbal Autopsy With Deep Learning Interpretable Methods.

IEEE journal of biomedical and health informatics Apr 6, 2021
The international standard to ascertain the cause of death is medical certification. However, in many low and middle-income countries, the majority of deaths occur outside of health facilities. In these cases, Verbal Autopsy (VA), the narrative provi...
Surveys and Questionnaires Cause of Death Autopsy Humans Deep Learning
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Predict multicategory causes of death in lung cancer patients using clinicopathologic factors.

Computers in biology and medicine Dec 1, 2020
BACKGROUND: Random forests (RF) is a widely used machine-learning algorithm, and outperforms many other machine learning algorithms in prediction-accuracy. But it is rarely used for predicting causes of death (COD) in cancer patients. On the other ha...
Humans Machine Learning Algorithms Aged Lung Neoplasms Logistic Models Cause of Death
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Methods for correcting inference based on outcomes predicted by machine learning.

Proceedings of the National Academy of Sciences of the United States of America Nov 18, 2020
Many modern problems in medicine and public health leverage machine-learning methods to predict outcomes based on observable covariates. In a wide array of settings, predicted outcomes are used in subsequent statistical analysis, often without accoun...
Humans Machine Learning Computer Simulation Cause of Death Organ Specificity
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Electromechanical-assisted training for walking after stroke.

The Cochrane database of systematic reviews Oct 22, 2020
BACKGROUND: Electromechanical- and robot-assisted gait-training devices are used in rehabilitation and might help to improve walking after stroke. This is an update of a Cochrane Review first published in 2007 and previously updated in 2017.
Walking Speed Orthotic Devices Electric Stimulation Therapy Stroke Rehabilitation Combined Modality Therapy Exercise Therapy Confidence Intervals Odds Ratio Aged Middle Aged Randomized Controlled Trials as Topic Robotics Bias Equipment Design Cause of Death Walking Gait Humans
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Risk stratification for mortality in cardiovascular disease survivors: A survival conditional inference tree analysis.

Nutrition, metabolism, and cardiovascular diseases : NMCD Oct 3, 2020
BACKGROUND AND AIMS: Efficient analysis strategies for complex network with cardiovascular disease (CVD) risk stratification remain lacking. We sought to identify an optimized model to study CVD prognosis using survival conditional inference tree (SC...
Predictive Value of Tests Cause of Death Proteinuria Health Status Indicators China Time Factors Hyperglycemia Age Factors Machine Learning Prognosis Female Reproducibility of Results Humans Aged Risk Factors Male Cardiovascular Diseases Middle Aged Risk Assessment
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Machine learning-based risk prediction of intrahospital clinical outcomes in patients undergoing TAVI.

Clinical research in cardiology : official journal of the German Cardiac Society Jun 24, 2020
BACKGROUND: Currently, patient selection in TAVI is based upon a multidisciplinary heart team assessment of patient comorbidities and surgical risk stratification. In an era of increasing need for precision medicine and quickly expanding TAVI indicat...
Retrospective Studies Female Risk Factors Aged, 80 and over Survival Rate Male Risk Assessment Postoperative Complications Time Factors Humans Machine Learning Hospital Mortality Aortic Valve Morbidity Inpatients Heart Valve Diseases Cause of Death Germany Transcatheter Aortic Valve Replacement
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Unsupervised Cluster Analysis of Patients With Aortic Stenosis Reveals Distinct Population With Different Phenotypes and Outcomes.

Circulation. Cardiovascular imaging May 18, 2020
BACKGROUND: There is a lack of studies investigating the heterogeneity of patients with aortic stenosis (AS). We explored whether cluster analysis identifies distinct subgroups with different prognostic significances in AS.
Unsupervised Machine Learning Predictive Value of Tests Cause of Death Age Factors Cluster Analysis Aortic Valve Stenosis Aortic Valve Echocardiography Phenotype Middle Aged Prospective Studies Comorbidity Prognosis Risk Factors Severity of Illness Index Humans Female Hemodynamics Aged Decision Support Techniques Reproducibility of Results Aged, 80 and over Male
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Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network.

Nature medicine May 11, 2020
The electrocardiogram (ECG) is a widely used medical test, consisting of voltage versus time traces collected from surface recordings over the heart. Here we hypothesized that a deep neural network (DNN) can predict an important future clinical event...
Male Retrospective Studies Mortality Middle Aged ROC Curve Humans Female Cardiologists Risk Assessment Electrocardiography Aged Neural Networks, Computer Deep Learning Area Under Curve Aged, 80 and over Algorithms Cause of Death Adult Prognosis Proportional Hazards Models
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