AIMC Topic: Case-Control Studies

Clear Filters Showing 171 to 180 of 871 articles

Using natural language processing to evaluate temporal patterns in suicide risk variation among high-risk Veterans.

Psychiatry research Jul 27, 2024
Measuring suicide risk fluctuation remains difficult, especially for high-suicide risk patients. Our study addressed this issue by leveraging Dynamic Topic Modeling, a natural language processing method that evaluates topic changes over time, to anal...
United States Natural Language Processing United States Department of Veterans Affairs Veterans Middle Aged Risk Assessment Case-Control Studies Suicide Female Humans Adult Electronic Health Records Male
View on PubMed DOI

Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 25, 2024
BACKGROUND: There is conflicting evidence regarding the response to a fixed dose of regadenoson in patients with high body weight. The aim of this study was to evaluate the effectiveness of regadenoson in patients with varying body weights using nove...
Risk Factors Humans Case-Control Studies Aged Coronary Artery Disease Artificial Intelligence Adenosine Logistic Models Male Body Weight Algorithms Vasodilator Agents Adenosine A2 Receptor Agonists Obesity Image Interpretation, Computer-Assisted Middle Aged Female Purines Predictive Value of Tests Pyrazoles Coronary Circulation Myocardial Perfusion Imaging
View on PubMed DOI

Machine learning computational model to predict lung cancer using electronic medical records.

Cancer epidemiology Jul 24, 2024
BACKGROUND: Lung cancer (LC) screening using low-dose computed tomography (CT) is recommended according to standard risk criteria or personalized risk calculators. Machine learning (ML) models that can predict disease risk are an emerging method in m...
Humans Machine Learning Tomography, X-Ray Computed Electronic Health Records Aged Adult Male Early Detection of Cancer Female Smoking Risk Factors Middle Aged Risk Assessment Case-Control Studies Lung Neoplasms
View on PubMed DOI

Causes of death in individuals with lifetime major depression: a comprehensive machine learning analysis from a community-based autopsy center.

BMC psychiatry Jul 24, 2024
BACKGROUND: Depression can be associated with increased mortality and morbidity, but no studies have investigated the specific causes of death based on autopsy reports. Autopsy studies can yield valuable and detailed information on pathological ailme...
Adult Male Middle Aged Depressive Disorder, Major Autopsy Case-Control Studies Cause of Death Machine Learning Female Aged Aged, 80 and over Humans
View on PubMed DOI

Machine learning-enhanced HRCT analysis for diagnosis and severity assessment in pediatric asthma.

Pediatric pulmonology Jul 23, 2024
OBJECTIVES: Chest high-resolution computed tomography (HRCT) is conditionally recommended to rule out conditions that mimic or coexist with severe asthma in children. However, it may provide valuable insights into identifying structural airway change...
Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Asthma Humans Child Bronchiectasis Male Severity of Illness Index Case-Control Studies Adolescent
View on PubMed DOI

Plasma-based near-infrared spectroscopy for early diagnosis of lung cancer.

Journal of pharmaceutical and biomedical analysis Jul 21, 2024
Lung cancer (LC) continues to be a leading death cause in China, primarily due to late diagnosis. This study aimed to evaluate the effectiveness of using plasma-based near-infrared spectroscopy (NIRS) for LC early diagnosis. A total of 171 plasma sam...
Algorithms Female Support Vector Machine Aged Adult Case-Control Studies Early Detection of Cancer Humans Male Least-Squares Analysis Spectroscopy, Near-Infrared Machine Learning Middle Aged Lung Neoplasms
View on PubMed DOI

Self-organizing maps for exploration and classification of nuclear magnetic resonance spectra for untargeted metabolomics of breast cancer.

Journal of pharmaceutical and biomedical analysis Jul 21, 2024
Metabolomics has emerged as a powerful tool for identifying biomarkers of disease, and nuclear magnetic resonance (NMR) spectroscopy allows for the simultaneous detection of a wide range of metabolites. However, due to complex interactions within met...
Breast Neoplasms Biomarkers, Tumor Middle Aged Case-Control Studies Algorithms Female Adult Sensitivity and Specificity Metabolomics Magnetic Resonance Spectroscopy Proton Magnetic Resonance Spectroscopy Humans Neural Networks, Computer
View on PubMed DOI

Computer-aided detection of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of commercially available artificial intelligence software.

The Lancet. Digital health Jul 19, 2024
BACKGROUND: Computer-aided detection (CAD) can help identify people with active tuberculosis left undetected. However, few studies have compared the performance of commercially available CAD products for screening in high tuberculosis and high HIV se...
Tuberculosis Tuberculosis, Pulmonary Radiography, Thoracic Diagnosis, Computer-Assisted HIV Infections Software Mass Screening Female South Africa Young Adult Adult Middle Aged Prevalence Case-Control Studies Sensitivity and Specificity Humans Male Artificial Intelligence
View on PubMed DOI

Detecting outliers in case-control cohorts for improving deep learning networks on Schizophrenia prediction.

Journal of integrative bioinformatics Jul 15, 2024
This study delves into the intricate genetic and clinical aspects of Schizophrenia, a complex mental disorder with uncertain etiology. Deep Learning (DL) holds promise for analyzing large genomic datasets to uncover new risk factors. However, based o...
Humans Sweden Case-Control Studies Deep Learning Cohort Studies Schizophrenia
View on PubMed DOI

Speech-based recognition and estimating severity of PTSD using machine learning.

Journal of affective disorders Jul 14, 2024
BACKGROUND: Traditional methodologies for diagnosing post-traumatic stress disorder (PTSD) primarily rely on interviews, incurring considerable costs and lacking objective indices. Integrating biomarkers and machine learning techniques into this diag...
Humans Middle Aged Severity of Illness Index Case-Control Studies Machine Learning Stress Disorders, Post-Traumatic Female Speech Recognition Software Adult Male
View on PubMed DOI
Popular Topics
Recent Journals