AIMC Topic: Case-Control Studies
Clear Filters Showing 571 to 580 of 873 articles
Evaluating the performance of a deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing lung nodules: Comparison with the performance of double reading by radiologists.
Thoracic cancer
Dec 8, 2018
BACKGROUND: The study was conducted to evaluate the performance of a state-of-the-art commercial deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing pulmonary nodules.
Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning.
European radiology
Dec 5, 2018
PURPOSE: To evaluate the diagnostic performance of bone texture analysis (TA) combined with machine learning (ML) algorithms in standard CT scans to identify patients with vertebrae at risk for insufficiency fractures.
Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Clusters of differentiation () are cell surface biomarkers that denote key biological differences between cell types and disease state. CD-targeting therapeutic monoclonal antibodies () afford rich trans-disease repositioning opportunities. Within a ...
Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. NAFLD patients have excessive liver fat (steatosis), without other liver diseases and without excessive alcohol consumption. NAFLD consists of a spectr...
Hepatitis
Risk Factors
Alanine Transaminase
Aged
Liver Cirrhosis
Aspartate Aminotransferases
Case-Control Studies
Male
Humans
Liver Function Tests
Cohort Studies
Health Status
Middle Aged
Biomarkers
Disease Progression
Diabetes Mellitus, Type 2
Decision Trees
Electronic Health Records
Fatty Liver
Supervised Machine Learning
Female
Logistic Models
Non-alcoholic Fatty Liver Disease
Diagnostic Case-Control versus Diagnostic Cohort Studies for Clinical Validation of Artificial Intelligence Algorithm Performance.
Radiology
Dec 4, 2018
Impact of a Pharmacist-Led Intervention on 30-Day Readmission and Assessment of Factors Predictive of Readmission in African American Men With Heart Failure.
American journal of men's health
Nov 28, 2018
Heart failure (HF) is responsible for more 30-day readmissions than any other condition. Minorities, particularly African American males (AAM), are at much higher risk for readmission than the general population. In this study, demographic, social, a...
Found In Translation: a machine learning model for mouse-to-human inference.
Nature methods
Nov 26, 2018
Cross-species differences form barriers to translational research that ultimately hinder the success of clinical trials, yet knowledge of species differences has yet to be systematically incorporated in the interpretation of animal models. Here we pr...
Evaluation of serum and salivary interferon-γ levels in patients with oral lichen planus: a systematic review and meta-analysis of case-control studies.
Oral surgery, oral medicine, oral pathology and oral radiology
Nov 24, 2018
OBJECTIVE: Cytokines have regulatory and leading roles in the immunopathogenesis of oral lichen planus (OLP). Here, we present the findings of a meta-analysis that evaluated serum and salivary interferon-γ (IFN-γ) levels in patients with OLP compared...
High rates of atherogenic dyslipidemia, β-cell function loss, and microangiopathy among Turkish migrants with T2DM.
Diabetes & metabolic syndrome
Nov 24, 2018
AIMS: Non-Caucasian migrants require dedicated approaches in diabetes management due to specific genetic; socio-cultural; demographic and anthropological determinants. Documenting such phenotypes allows for better understanding unmet needs and manage...
Supervised machine learning to decipher the complex associations between neuro-immune biomarkers and quality of life in schizophrenia.
Metabolic brain disease
Nov 22, 2018
Stable phase schizophrenia is characterized by altered patterning in tryptophan catabolites (TRYCATs) and memory impairments, which are associated with PHEMN (psychosis, hostility, excitation, mannerism and negative) and DAPS (depression, anxiety and...
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