AIMC Topic: Case-Control Studies

Clear Filters Showing 381 to 390 of 907 articles

Prediction of preterm birth based on machine learning using bacterial risk score in cervicovaginal fluid.

American journal of reproductive immunology (New York, N.Y. : 1989) May 10, 2021
PROBLEM: Preterm birth (PTB) is a major cause of increased morbidity and mortality in newborns. The main cause of spontaneous PTB (sPTB) is the activation of an inflammatory response as a result of ascending genital tract infection. Despite various s...
Machine Learning Pregnancy Female Premature Birth Humans Cervix Uteri Microbiota Body Fluids Vagina Risk Factors Adult Case-Control Studies
View on PubMed DOI

Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times.

BMC medical imaging May 8, 2021
BACKGROUND: Functional lung MRI techniques are usually associated with time-consuming post-processing, where manual lung segmentation represents the most cumbersome part. The aim of this study was to investigate whether deep learning-based segmentati...
Neural Networks, Computer Lung Cystic Fibrosis Case-Control Studies Respiration Humans Magnetic Resonance Imaging Pneumonia Deep Learning Lung Neoplasms
View on PubMed DOI

Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder.

Scientific reports Apr 30, 2021
We investigated the differential spatial covariance pattern of blood oxygen level-dependent (BOLD) responses to single-task and multitask functional magnetic resonance imaging (fMRI) between patients with psychophysiological insomnia (PI) and healthy...
Brain Female Adult Case-Control Studies Support Vector Machine Male Psychophysiologic Disorders Middle Aged Magnetic Resonance Imaging Humans Sleep Initiation and Maintenance Disorders Polysomnography
View on PubMed DOI

Distinguishing retinal angiomatous proliferation from polypoidal choroidal vasculopathy with a deep neural network based on optical coherence tomography.

Scientific reports Apr 29, 2021
This cross-sectional study aimed to build a deep learning model for detecting neovascular age-related macular degeneration (AMD) and to distinguish retinal angiomatous proliferation (RAP) from polypoidal choroidal vasculopathy (PCV) using a convoluti...
Retinal Neovascularization Choroidal Neovascularization Polyploidy Diagnosis, Differential Tomography, Optical Coherence Aged Macular Degeneration Humans Aged, 80 and over Neural Networks, Computer Cross-Sectional Studies Case-Control Studies Female Cell Proliferation Male Middle Aged
View on PubMed DOI

Prediction of Multiple sclerosis disease using machine learning classifiers: a comparative study.

Journal of preventive medicine and hygiene Apr 29, 2021
INTRODUCTION: Hamedan Province is one of Iran's high-risk regions for Multiple Sclerosis (MS). Early diagnosis of MS based on an accurate system can control the disease. The aim of this study was to compare the performance of four machine learning te...
Iran Multiple Sclerosis Male Case-Control Studies Predictive Value of Tests Humans Machine Learning Female
View on PubMed DOI

Diagnosis of Alzheimer's Disease by Time-Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal.

Computational and mathematical methods in medicine Apr 23, 2021
Using strategies that obtain biomarkers where early symptoms coincide, the early detection of Alzheimer's disease and its complications is essential. Electroencephalogram is a technology that allows thousands of neurons with equal spatial orientation...
Support Vector Machine Diagnosis, Computer-Assisted Early Diagnosis Cognitive Dysfunction Discriminant Analysis Humans Signal Processing, Computer-Assisted Computational Biology Neural Networks, Computer Electroencephalography Alzheimer Disease Case-Control Studies
View on PubMed DOI

Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques.

Disease markers Apr 22, 2021
Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found to give low detection rate during early stages of infection. Radiological analysis of CT images has given higher prediction rate when compared to RT-...
Sensitivity and Specificity Lung Case-Control Studies Models, Statistical Machine Learning Community-Acquired Infections Humans Decision Trees COVID-19 Pneumonia Tomography, X-Ray Computed Bayes Theorem
View on PubMed DOI

Triage-driven diagnosis of Barrett's esophagus for early detection of esophageal adenocarcinoma using deep learning.

Nature medicine Apr 15, 2021
Deep learning methods have been shown to achieve excellent performance on diagnostic tasks, but how to optimally combine them with expert knowledge and existing clinical decision pathways is still an open challenge. This question is particularly impo...
Esophagus Esophageal Neoplasms Barrett Esophagus Humans Case-Control Studies Deep Learning Early Detection of Cancer Triage Decision Support Systems, Clinical Adenocarcinoma
View on PubMed DOI

A clinical decision model based on machine learning for ptosis.

BMC ophthalmology Apr 9, 2021
BACKGROUND: To establish a decision model based on two- (2D) and three-dimensional (3D) eye data of patients with ptosis for developing personalized surgery plans.
Humans Machine Learning Retrospective Studies Case-Control Studies China Area Under Curve
View on PubMed DOI

Deep learning-based molecular morphometrics for kidney biopsies.

JCI insight Apr 8, 2021
Morphologic examination of tissue biopsies is essential for histopathological diagnosis. However, accurate and scalable cellular quantification in human samples remains challenging. Here, we present a deep learning-based approach for antigen-specific...
Case-Control Studies Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Humans Pathology, Clinical Podocytes Kidney Biopsy Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis
View on PubMed DOI
Popular Topics
Recent Journals