AIMC Topic: Case-Control Studies

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Can we screen for pancreatic cancer? Identifying a sub-population of patients at high risk of subsequent diagnosis using machine learning techniques applied to primary care data.

PloS one Jun 2, 2021
BACKGROUND: Pancreatic cancer (PC) represents a substantial public health burden. Pancreatic cancer patients have very low survival due to the difficulty of identifying cancers early when the tumour is localised to the site of origin and treatable. R...
Follow-Up Studies Aged Early Detection of Cancer Aged, 80 and over Pancreatic Neoplasms Prospective Studies Young Adult Humans Adult Case-Control Studies Prognosis Machine Learning Adolescent Electronic Health Records Survival Rate Algorithms Primary Health Care Female Male Middle Aged Risk Assessment
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Discrimination between healthy and patients with Parkinson's disease from hand resting activity using inertial measurement unit.

Biomedical engineering online May 22, 2021
BACKGROUND: Parkinson's disease (PD) is a neurological disease that affects the motor system. The associated motor symptoms are muscle rigidity or stiffness, bradykinesia, tremors, and gait disturbances. The correct diagnosis, especially in the initi...
Parkinson Disease Signal Processing, Computer-Assisted Hand Rest Middle Aged Humans Case-Control Studies Support Vector Machine Female Aged Male
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Machine Learning Analysis of MicroRNA Expression Data Reveals Novel Diagnostic Biomarker for Ischemic Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 19, 2021
OBJECTIVES: Ischemic stroke (IS) is one of the leading causes of morbidity and mortality worldwide. Circulating microRNAs have a potential as minimally invasive biomarkers for disease prediction, diagnosis, and prognosis. In this study, we sought to ...
Ischemic Stroke Feasibility Studies Circulating MicroRNA Real-Time Polymerase Chain Reaction Support Vector Machine MicroRNAs Predictive Value of Tests Humans Neural Networks, Computer Machine Learning Reproducibility of Results Aged Middle Aged Case-Control Studies Diagnosis, Computer-Assisted
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Identification of potential genomic biomarkers for Parkinson's disease using data pooling of gene expression microarrays.

Biomarkers in medicine May 14, 2021
In this study, we aimed to identify potential diagnostic biomarkers Parkinson's disease (PD) by exploring microarray gene expression data of PD patients. Differentially expressed genes associated with PD were screened from the GSE99039 dataset usin...
Humans Gene Regulatory Networks Genomics Signal Transduction Parkinson Disease Biomarkers Gene Expression Profiling Case-Control Studies Protein Interaction Maps Gene Ontology
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Red blood cell phenotyping from 3D confocal images using artificial neural networks.

PLoS computational biology May 13, 2021
The investigation of cell shapes mostly relies on the manual classification of 2D images, causing a subjective and time consuming evaluation based on a portion of the cell surface. We present a dual-stage neural network architecture for analyzing fin...
Erythrocytes Automation Reproducibility of Results Humans Case-Control Studies Neural Networks, Computer Image Processing, Computer-Assisted Microscopy, Confocal
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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...
Humans Machine Learning Pregnancy Female Cervix Uteri Microbiota Body Fluids Vagina Premature Birth Risk Factors Adult Case-Control Studies
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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...
Magnetic Resonance Imaging Pneumonia Cystic Fibrosis Humans Respiration Neural Networks, Computer Lung Case-Control Studies Deep Learning Lung Neoplasms
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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...
Humans Magnetic Resonance Imaging Sleep Initiation and Maintenance Disorders Male Polysomnography Middle Aged Psychophysiologic Disorders Brain Case-Control Studies Support Vector Machine Female Adult
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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...
Humans Neural Networks, Computer Female Aged Macular Degeneration Retinal Neovascularization Choroidal Neovascularization Polyploidy Case-Control Studies Aged, 80 and over Cell Proliferation Cross-Sectional Studies Diagnosis, Differential Male Tomography, Optical Coherence Middle Aged
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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...
Humans Predictive Value of Tests Machine Learning Iran Female Multiple Sclerosis Male Case-Control Studies
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