AIMC Topic: Case-Control Studies

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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...
Middle Aged Depressive Disorder, Major Case-Control Studies Cause of Death Autopsy Aged Aged, 80 and over Adult Male Humans Machine Learning Female
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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...
Adolescent Child Bronchiectasis Male Severity of Illness Index Case-Control Studies Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Asthma
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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 Aged Adult Humans Male Lung Neoplasms Support Vector Machine Machine Learning Middle Aged Early Detection of Cancer Case-Control Studies Least-Squares Analysis Spectroscopy, Near-Infrared
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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...
Humans Neural Networks, Computer Algorithms Magnetic Resonance Spectroscopy Proton Magnetic Resonance Spectroscopy Female Biomarkers, Tumor Adult Middle Aged Sensitivity and Specificity Case-Control Studies Breast Neoplasms Metabolomics
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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...
Mass Screening South Africa Tuberculosis Tuberculosis, Pulmonary Prevalence Case-Control Studies Diagnosis, Computer-Assisted HIV Infections Radiography, Thoracic Artificial Intelligence Software Female Young Adult Adult Sensitivity and Specificity Male Middle Aged Humans
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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...
Cohort Studies Schizophrenia Humans Sweden Case-Control Studies Deep Learning
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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...
Adult Male Middle Aged Severity of Illness Index Humans Machine Learning Female Case-Control Studies Stress Disorders, Post-Traumatic Speech Recognition Software
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Predictive modeling of lower extreme deep vein thrombosis following radical gastrectomy for gastric cancer: based on multiple machine learning methods.

Scientific reports Jul 8, 2024
Postoperative venous thromboembolic events (VTEs), such as lower extremity deep vein thrombosis (DVT), are major risk factors for gastric cancer (GC) patients following radical gastrectomy. Accurately predicting and managing these risks is crucial fo...
Risk Factors Logistic Models Humans Middle Aged Machine Learning Postoperative Complications Retrospective Studies Case-Control Studies Venous Thrombosis Female Aged ROC Curve Gastrectomy Stomach Neoplasms Male
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Comprehensive assessment of machine learning methods for diagnosing gastrointestinal diseases through whole metagenome sequencing data.

Gut microbes Jul 7, 2024
The gut microbiome, linked significantly to host diseases, offers potential for disease diagnosis through machine learning (ML) pipelines. These pipelines, crucial in modeling diseases using high-dimensional microbiome data, involve selecting profile...
Gastrointestinal Microbiome Crohn Disease Gastrointestinal Diseases Metagenome Colorectal Neoplasms Humans Case-Control Studies Machine Learning Feces Algorithms Bacteria
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Plasma immune profiling combined with machine learning contributes to diagnosis and prognosis of active pulmonary tuberculosis.

Emerging microbes & infections Jul 4, 2024
Tuberculosis (TB) remains one of the deadliest chronic infectious diseases globally. Early diagnosis not only prevents the spread of TB but also ensures effective treatment. However, the absence of non-sputum-based diagnostic tests often leads to del...
Machine Learning Biomarkers Prognosis Female Humans Middle Aged Case-Control Studies ROC Curve Tuberculosis, Pulmonary Aged Adult Sensitivity and Specificity Male
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