AIMC Topic: Case-Control Studies

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Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning.

Frontiers in immunology Jun 28, 2021
Expression of CCR5 and its cognate ligands have been implicated in COVID-19 pathogenesis, consequently therapeutics directed against CCR5 are being investigated. Here, we explored the role of CCR5 and its ligands across the immunologic spectrum of CO...
Lymphocyte Activation Female Humans RNA, Viral SARS-CoV-2 Machine Learning Antibodies, Viral T-Lymphocytes, Regulatory Male Computational Biology COVID-19 Receptors, CCR5 CD8-Positive T-Lymphocytes Severity of Illness Index Algorithms Post-Acute COVID-19 Syndrome Chemokine CCL5 Case-Control Studies Prognosis
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Construction and Validation of a Lung Cancer Diagnostic Model Based on 6-Gene Methylation Frequency in Blood, Clinical Features, and Serum Tumor Markers.

Computational and mathematical methods in medicine Jun 26, 2021
Lung cancer has a high mortality rate. Promoting early diagnosis and screening of lung cancer is the most effective way to enhance the survival rate of lung cancer patients. Through computer technology, a comprehensive evaluation of genetic testing r...
Biomarkers, Tumor Male Early Detection of Cancer Retrospective Studies ROC Curve Humans Middle Aged Female Lung Neoplasms Case-Control Studies Aged Computational Biology Diagnosis, Computer-Assisted Aged, 80 and over Support Vector Machine Adult DNA Methylation
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Machine learning-based glucose prediction with use of continuous glucose and physical activity monitoring data: The Maastricht Study.

PloS one Jun 24, 2021
BACKGROUND: Closed-loop insulin delivery systems, which integrate continuous glucose monitoring (CGM) and algorithms that continuously guide insulin dosing, have been shown to improve glycaemic control. The ability to predict future glucose values ca...
Neural Networks, Computer Monitoring, Ambulatory Machine Learning Prediabetic State Algorithms Female Humans Prospective Studies Aged Exercise Prognosis Adult Case-Control Studies Male Blood Glucose Middle Aged Diabetes Mellitus, Type 2 Diabetes Mellitus, Type 1
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A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture.

Computational and mathematical methods in medicine Jun 21, 2021
Clinical procedure for mild cognitive impairment (MCI) is mainly based on clinical records and short cognitive tests. However, low suspicion and difficulties in understanding test cut-offs make diagnostic accuracy being low, particularly in primary c...
Decision Support Systems, Clinical Computational Biology Area Under Curve Neuropsychological Tests Aged, 80 and over Sensitivity and Specificity Case-Control Studies Diagnosis, Computer-Assisted Cognitive Dysfunction Humans Neural Networks, Computer Databases, Factual Aged
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Performance evaluation of a deep learning image reconstruction (DLIR) algorithm in "double low" chest CTA in children: a feasibility study.

La Radiologia medica Jun 16, 2021
BACKGROUND: Chest CT angiography (CTA) is a convenient clinical examination for children with an increasing need to reduce both radiation and contrast medium doses. Iterative Reconstruction algorithms are often used to reduce image noise but encounte...
Thorax Computed Tomography Angiography Adolescent Child, Preschool Child Image Processing, Computer-Assisted Feasibility Studies Humans Algorithms Prospective Studies Female Male Infant Case-Control Studies Deep Learning
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Ultrasensitive detection of circulating tumour DNA via deep methylation sequencing aided by machine learning.

Nature biomedical engineering Jun 15, 2021
The low abundance of circulating tumour DNA (ctDNA) in plasma samples makes the analysis of ctDNA biomarkers for the detection or monitoring of early-stage cancers challenging. Here we show that deep methylation sequencing aided by a machine-learning...
Humans Machine Learning Female Lung Neoplasms Sequence Analysis, DNA DNA Methylation Adult Early Detection of Cancer Biomarkers, Tumor High-Throughput Nucleotide Sequencing Male Circulating Tumor DNA Middle Aged Case-Control Studies
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A machine learning approach to predicting risk of myelodysplastic syndrome.

Leukemia research Jun 8, 2021
BACKGROUND: Early myelodysplastic syndrome (MDS) diagnosis can allow physicians to provide early treatment, which may delay advancement of MDS and improve quality of life. However, MDS often goes unrecognized and is difficult to distinguish from othe...
Machine Learning Algorithms Prognosis Retrospective Studies Female Humans Neural Networks, Computer Follow-Up Studies Myelodysplastic Syndromes Risk Assessment Quality of Life Case-Control Studies ROC Curve Aged United States Aged, 80 and over Adult Male Middle Aged
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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...
Early Detection of Cancer Pancreatic Neoplasms Risk Assessment Case-Control Studies Adolescent Primary Health Care Follow-Up Studies Prospective Studies Prognosis Electronic Health Records Female Aged Survival Rate Humans Male Aged, 80 and over Machine Learning Middle Aged Young Adult Algorithms Adult
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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...
Male Middle Aged Case-Control Studies Humans Support Vector Machine Signal Processing, Computer-Assisted Female Parkinson Disease Hand Aged Rest
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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 ...
Diagnosis, Computer-Assisted Real-Time Polymerase Chain Reaction Support Vector Machine MicroRNAs Predictive Value of Tests Machine Learning Reproducibility of Results Aged Middle Aged Case-Control Studies Ischemic Stroke Feasibility Studies Circulating MicroRNA Humans Neural Networks, Computer
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