AIMC Topic: Comorbidity

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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 Cause of Death Male Disease Management Risk Assessment Acute Coronary Syndrome Comorbidity Proportional Hazards Models Disease Susceptibility Humans ROC Curve Machine Learning Models, Theoretical Prognosis Australia Anti-Inflammatory Agents, Non-Steroidal Area Under Curve
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Redefining β-blocker response in heart failure patients with sinus rhythm and atrial fibrillation: a machine learning cluster analysis.

Lancet (London, England) Aug 30, 2021
BACKGROUND: Mortality remains unacceptably high in patients with heart failure and reduced left ventricular ejection fraction (LVEF) despite advances in therapeutics. We hypothesised that a novel artificial intelligence approach could better assess m...
Aged Male Comorbidity Humans Ventricular Function, Left Cluster Analysis Adrenergic beta-Antagonists Stroke Volume Machine Learning Double-Blind Method Heart Failure Middle Aged Female Atrial Fibrillation
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Natural language processing for the assessment of cardiovascular disease comorbidities: The cardio-Canary comorbidity project.

Clinical cardiology Aug 4, 2021
OBJECTIVE: Accurate ascertainment of comorbidities is paramount in clinical research. While manual adjudication is labor-intensive and expensive, the adoption of electronic health records enables computational analysis of free-text documentation usin...
Comorbidity Natural Language Processing Humans Algorithms Electronic Health Records Cardiovascular Diseases
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A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study.

IEEE journal of biomedical and health informatics Jul 27, 2021
OBJECTIVE: Coronavirus disease 2019 (COVID-19) has caused considerable morbidity and mortality, especially in patients with underlying health conditions. A precise prognostic tool to identify poor outcomes among such cases is desperately needed.
COVID-19 Prognosis Retrospective Studies Tomography, X-Ray Computed Female Humans Lung Comorbidity Deep Learning ROC Curve Imaging, Three-Dimensional SARS-CoV-2 Aged Aged, 80 and over Male Middle Aged Radiographic Image Interpretation, Computer-Assisted
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Machine Learning to Identify Metabolic Subtypes of Obesity: A Multi-Center Study.

Frontiers in endocrinology Jul 14, 2021
BACKGROUND AND OBJECTIVE: Clinical characteristics of obesity are heterogenous, but current classification for diagnosis is simply based on BMI or metabolic healthiness. The purpose of this study was to use machine learning to explore a more precise ...
Body Mass Index Metabolic Syndrome Obesity Hyperuricemia Uric Acid Glucose Tolerance Test Male Humans Polycystic Ovary Syndrome Comorbidity Obesity, Metabolically Benign China Machine Learning Blood Glucose Female Insulin Adult
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The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD): Applying machine learning to the prediction of cardiovascular comorbidities.

Respiratory medicine Jul 7, 2021
BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous group of lung conditions that are challenging to diagnose and treat. As the presence of comorbidities often exacerbates this scenario, the characterization of patients with C...
Disease Progression Prevalence Comorbidity Cluster Analysis Humans Machine Learning Phenotype Retrospective Studies Female Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive Male Cardiovascular Diseases
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A machine learning based exploration of COVID-19 mortality risk.

PloS one Jul 2, 2021
Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring efficient resource allocation and treatment planning. This study aimed to develop and compare prognosis prediction machine learning models based on invas...
SARS-CoV-2 Aged Support Vector Machine Aged, 80 and over Humans COVID-19 Male Triage Young Adult Pandemics Forecasting Middle Aged Risk Adult Electronic Health Records Comorbidity Symptom Assessment Female Severity of Illness Index Models, Theoretical
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Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values.

PLoS computational biology Jun 23, 2021
Identification of those at greatest risk of death due to the substantial threat of COVID-19 can benefit from novel approaches to epidemiology that leverage large datasets and complex machine-learning models, provide data-driven intelligence, and guid...
Young Adult Adult Male Middle Aged Humans Infant Child Comorbidity Female Machine Learning Logistic Models Severity of Illness Index SARS-CoV-2 COVID-19 Patient Admission England Risk Factors Retrospective Studies Adolescent Aged Intensive Care Units Child, Preschool Aged, 80 and over
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Design Comorbidity Portfolios to Improve Treatment Cost Prediction of Asthma Using Machine Learning.

IEEE journal of biomedical and health informatics Jun 3, 2021
Comorbidity is an important factor to consider when trying to predict the cost of treating asthma patients. When an asthmatic patient suffered from comorbidity, the cost of treating such a patient becomes dependent on the nature of the comorbidity. T...
Neural Networks, Computer Machine Learning Asthma Comorbidity Health Care Costs Humans
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Predicting anxiety in cancer survivors presenting to primary care - A machine learning approach accounting for physical comorbidity.

Cancer medicine Jun 2, 2021
BACKGROUND: The purpose of this study was to explore predictors for anxiety as the most common form of psychological distress in cancer survivors while accounting for physical comorbidity.
Cancer Pain Comorbidity Cancer Survivors Stress, Psychological Muscle Weakness Aged Primary Health Care Prostatic Neoplasms Breast Neoplasms Regression Analysis Humans Colonic Neoplasms Male Predictive Value of Tests Female Supervised Machine Learning Middle Aged Anxiety Sleep Initiation and Maintenance Disorders Fatigue
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