AIMC Topic: Comorbidity

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Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants.

Redox biology Dec 16, 2024
OBJECTIVE: To develop and validate a machine learning model incorporating dietary antioxidants to predict cardiovascular disease (CVD)-cancer comorbidity and to elucidate the role of antioxidants in disease prediction.
Humans Machine Learning Female Neoplasms Comorbidity ROC Curve Antioxidants Aged Male Cardiovascular Diseases Middle Aged Nutrition Surveys Dietary Supplements
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Machine Learning Algorithms Exceed Comorbidity Indices in Prediction of Short-Term Complications After Hip Fracture Surgery.

The Journal of the American Academy of Orthopaedic Surgeons Nov 19, 2024
BACKGROUND: Hip fractures are among the most morbid acute orthopaedic injuries often due to accompanying patient frailty. The purpose of this study was to determine the reliability of assessing surgical risk after hip fracture through machine learnin...
Female Reproducibility of Results Aged Aged, 80 and over Humans Machine Learning Algorithms Length of Stay Predictive Value of Tests Patient Readmission Hip Fractures Male Risk Assessment Postoperative Complications Comorbidity
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DAPNet: multi-view graph contrastive network incorporating disease clinical and molecular associations for disease progression prediction.

BMC medical informatics and decision making Nov 19, 2024
BACKGROUND: Timely and accurate prediction of disease progress is crucial for facilitating early intervention and treatment for various chronic diseases. However, due to the complicated and longitudinal nature of disease progression, the capacity and...
Humans Disease Progression Comorbidity Deep Learning
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Development and Validation of a Prediction Model for Co-Occurring Moderate-to-Severe Anxiety Symptoms in First-Episode and Drug Naïve Patients With Major Depressive Disorder.

Depression and anxiety Nov 19, 2024
Moderate-to-severe anxiety symptoms are severe and common in patients with major depressive disorder (MDD) and have a significant impact on MDD patients and their families. The main objective of this study was to develop a risk prediction model for ...
Middle Aged Comorbidity Young Adult Risk Assessment Humans Anxiety Disorders Adult Depressive Disorder, Major Machine Learning Severity of Illness Index Cross-Sectional Studies Anxiety Female Suicide, Attempted Male
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A machine learning approach to stratify patients with hypermobile Ehlers-Danlos syndrome/hypermobility spectrum disorders according to disorders of gut brain interaction, comorbidities and quality of life.

Neurogastroenterology and motility Nov 14, 2024
BACKGROUND: A high prevalence of disorders of gut-brain interaction (DGBI) exist in patients with hypermobile Ehlers-Danlos Syndrome (hEDS) and hypermobility spectrum disorders (HSD). However, it is unknown if clusters of hEDS/HSD patients exist whic...
Ehlers-Danlos Syndrome Quality of Life Comorbidity Joint Instability Humans Brain-Gut Axis Machine Learning Adult Prospective Studies Male Female Middle Aged
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An Approach for Combining Clinical Judgment with Machine Learning to Inform Medical Decision Making: Analysis of Nonemergency Surgery Strategies for Acute Appendicitis in Patients with Multiple Long-Term Conditions.

Medical decision making : an international journal of the Society for Medical Decision Making Oct 23, 2024
BACKGROUND: Machine learning (ML) methods can identify complex patterns of treatment effect heterogeneity. However, before ML can help to personalize decision making, transparent approaches must be developed that draw on clinical judgment. We develop...
Appendectomy Comorbidity Acute Disease Appendicitis Judgment Humans Machine Learning Clinical Decision-Making Female Adult Male Middle Aged
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The Efficacy of a Food Supplement in the Treatment of Tinnitus with Comorbid Headache: A Statistical and Machine Learning Analysis with a Literature Review.

Audiology & neuro-otology Oct 18, 2024
INTRODUCTION: Tinnitus, the perception of sound without an external auditory stimulus, affects approximately 10-15% of the population and is often associated with significant comorbidities such as headaches. These conditions can severely impact the q...
Tinnitus Adult Comorbidity Prospective Studies Humans Treatment Outcome Male Dietary Supplements Female Middle Aged Machine Learning Aged Quality of Life Headache Young Adult
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Comorbidity-based framework for Alzheimer's disease classification using graph neural networks.

Scientific reports Sep 10, 2024
Alzheimer's disease (AD), the most prevalent form of dementia, requires early prediction for timely intervention. Current deep learning approaches, particularly those using traditional neural networks, face challenges such as handling high-dimensiona...
Humans Neural Networks, Computer Female Deep Learning Aged Cognitive Dysfunction Aged, 80 and over Alzheimer Disease Male Neuroimaging Comorbidity
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Definition and Validation of Prognostic Phenotypes in Moderate Aortic Stenosis.

JACC. Cardiovascular imaging Aug 14, 2024
BACKGROUND: Adverse outcomes from moderate aortic stenosis (AS) may be caused by progression to severe AS or by the effects of comorbidities. In the absence of randomized trial evidence favoring aortic valve replacement (AVR) in patients with moderat...
Aortic Valve Stenosis Aortic Valve Unsupervised Machine Learning Predictive Value of Tests Heart Failure Humans Comorbidity Severity of Illness Index Risk Factors Time Factors Aged Cluster Analysis Echocardiography Aged, 80 and over Phenotype Middle Aged Male Prognosis Risk Assessment Female Reproducibility of Results
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Machine learning applications in preventive healthcare: A systematic literature review on predictive analytics of disease comorbidity from multiple perspectives.

Artificial intelligence in medicine Aug 14, 2024
Artificial intelligence is constantly revolutionizing biomedical research and healthcare management. Disease comorbidity is a major threat to the quality of life for susceptible groups, especially middle-aged and elderly patients. The presence of mul...
Comorbidity Chronic Disease Preventive Health Services Humans Machine Learning Risk Factors Risk Assessment
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