AIMC Topic: Case-Control Studies

Clear Filters Showing 551 to 560 of 971 articles

Deep learning, computer-aided radiography reading for tuberculosis: a diagnostic accuracy study from a tertiary hospital in India.

Scientific reports Jan 14, 2020
In general, chest radiographs (CXR) have high sensitivity and moderate specificity for active pulmonary tuberculosis (PTB) screening when interpreted by human readers. However, they are challenging to scale due to hardware costs and the dearth of pro...
Tertiary Care Centers Tuberculosis, Pulmonary Mycobacterium tuberculosis Radiography, Thoracic Female Reproducibility of Results Male Middle Aged Deep Learning ROC Curve India Case-Control Studies Diagnosis, Computer-Assisted Humans Software Retrospective Studies
View on PubMed DOI

A practical model for the identification of congenital cataracts using machine learning.

EBioMedicine Jan 3, 2020
BACKGROUND: Approximately 1 in 33 newborns is affected by congenital anomalies worldwide. We aimed to develop a practical model for identifying infants with a high risk of congenital cataracts (CCs), which is the leading cause of avoidable childhood ...
Humans Machine Learning Algorithms Female Reproducibility of Results ROC Curve Area Under Curve Cataract Models, Biological Risk Factors Inheritance Patterns Male Case-Control Studies Child, Preschool
View on PubMed DOI

Application of Machine Learning for Predicting Clinically Meaningful Outcome After Arthroscopic Femoroacetabular Impingement Surgery.

The American journal of sports medicine Dec 23, 2019
BACKGROUND: Hip arthroscopy has become an important tool for surgical treatment of intra-articular hip pathology. Predictive models for clinically meaningful outcomes in patients undergoing hip arthroscopy for femoroacetabular impingement syndrome (F...
Hip Joint Minimal Clinically Important Difference Femoracetabular Impingement Treatment Outcome Body Mass Index Activities of Daily Living Arthroscopy Humans Adult Machine Learning Male Female Middle Aged Young Adult Case-Control Studies
View on PubMed DOI

Finding Barrett's oesophagus: is there a machine learning approach in our future?

The Lancet. Digital health Dec 23, 2019
Esophageal Neoplasms Barrett Esophagus Humans Machine Learning Case-Control Studies Adenocarcinoma
View on PubMed DOI

Development and validation of a risk prediction model to diagnose Barrett's oesophagus (MARK-BE): a case-control machine learning approach.

The Lancet. Digital health Dec 5, 2019
BACKGROUND: Screening for Barrett's Oesophagus (BE) relies on endoscopy which is invasive and has a low yield. This study aimed to develop and externally validate a simple symptom and risk-factor questionnaire to screen for patients with BE.
Barrett Esophagus Forecasting Risk Assessment Male Humans Prospective Studies Middle Aged Case-Control Studies Female Machine Learning United Kingdom Aged
View on PubMed DOI

Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson's Disease.

Sensors (Basel, Switzerland) Dec 5, 2019
Early diagnosis of Parkinson's diseases (PD) is challenging; applying machine learning (ML) models to gait characteristics may support the classification process. Comparing performance of ML models used in various studies can be problematic due to di...
Humans Aged Male Middle Aged Machine Learning Female Area Under Curve Walking Case-Control Studies Gait Wearable Electronic Devices ROC Curve Accelerometry Parkinson Disease
View on PubMed DOI

Machine learning distilled metabolite biomarkers for early stage renal injury.

Metabolomics : Official journal of the Metabolomic Society Dec 5, 2019
INTRODUCTION: With chronic kidney disease (CKD), kidney becomes damaged overtime and fails to clean blood. Around 15% of US adults have CKD and nine in ten adults with CKD do not know they have it.
Mass Spectrometry Creatinine Chromatography, High Pressure Liquid Female Aged Adult Male Case-Control Studies Renal Insufficiency, Chronic Glomerular Filtration Rate Middle Aged Severity of Illness Index Humans Machine Learning Biomarkers
View on PubMed DOI

Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features.

Sensors (Basel, Switzerland) Dec 3, 2019
The purpose of this paper is to evaluate the feasibility of diagnosing multiple sclerosis (MS) using optical coherence tomography (OCT) data and a support vector machine (SVM) as an automatic classifier. Forty-eight MS patients without symptoms of op...
Optic Neuritis Retina Sex Factors Multiple Sclerosis Normal Distribution Machine Learning Female Adult Support Vector Machine Case-Control Studies Male Humans Area Under Curve Diagnosis, Computer-Assisted Tomography, Optical Coherence
View on PubMed DOI

Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches.

BMC medical informatics and decision making Dec 2, 2019
BACKGROUND: Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems and many receive it late in the...
Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Humans Risk Assessment Case-Control Studies Dementia Primary Health Care Computational Biology Electronic Health Records Female Aged Male State Medicine Logistic Models Support Vector Machine Bayes Theorem United Kingdom
View on PubMed DOI

Usefulness of presepsin as diagnostic and prognostic marker of sepsis in daily clinical practice.

Journal of infection in developing countries Nov 30, 2019
INTRODUCTION: Sepsis represents a major cause of morbidity and mortality in critically ill patients. Early diagnosis and appropriate treatment have a crucial influence on survival. The aim of this study was to evaluate the diagnostic and prognostic r...
Female Lipopolysaccharide Receptors Male Humans Case-Control Studies Area Under Curve Biomarkers Sepsis Prognosis Peptide Fragments APACHE Lactic Acid
View on PubMed DOI
Popular Topics
Recent Journals