AIMC Topic: Aged, 80 and over

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A transfer learning approach to facilitate ComBat-based harmonization of multicentre radiomic features in new datasets.

PloS one Jul 1, 2021
PURPOSE: To facilitate the demonstration of the prognostic value of radiomics, multicenter radiomics studies are needed. Pooling radiomic features of such data in a statistical analysis is however challenging, as they are sensitive to the variability...
Chemoradiotherapy Female Aged Aged, 80 and over Young Adult Adult Magnetic Resonance Imaging Uterine Cervical Neoplasms Cervix Uteri Middle Aged Positron-Emission Tomography Humans Decision Support Systems, Clinical Image Interpretation, Computer-Assisted Machine Learning Treatment Outcome Datasets as Topic Retrospective Studies Follow-Up Studies Tomography, X-Ray Computed
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Augmented intelligence to predict 30-day mortality in patients with cancer.

Future oncology (London, England) Jun 30, 2021
An augmented intelligence tool to predict short-term mortality risk among patients with cancer could help identify those in need of actionable interventions or palliative care services. An algorithm to predict 30-day mortality risk was developed us...
Humans Artificial Intelligence Machine Learning Algorithms Electronic Health Records Female Reproducibility of Results Aged Aged, 80 and over Young Adult Neoplasms Adult Adolescent Male Decision Support Systems, Clinical Middle Aged Socioeconomic Factors Risk Assessment
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Clinical decision support algorithm based on machine learning to assess the clinical response to anti-programmed death-1 therapy in patients with non-small-cell lung cancer.

European journal of cancer (Oxford, England : 1990) Jun 26, 2021
OBJECTIVE: Anti-programmed death (PD)-1 therapy confers sustainable clinical benefits for patients with non-small-cell lung cancer (NSCLC), but only some patients respond to the treatment. Various clinical characteristics, including the PD-ligand 1 (...
Machine Learning Humans Female Male Aged Aged, 80 and over Middle Aged Adult Immune Checkpoint Inhibitors Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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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...
Case-Control Studies Diagnosis, Computer-Assisted ROC Curve Lung Neoplasms Aged, 80 and over Humans Support Vector Machine Computational Biology Adult Retrospective Studies DNA Methylation Biomarkers, Tumor Female Early Detection of Cancer Male Aged Middle Aged
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Novel Approaches to Detection of Cerebral Microbleeds: Single Deep Learning Model to Achieve a Balanced Performance.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 25, 2021
PURPOSE: Cerebral microbleeds (CMBs) are considered essential indicators for the diagnosis of cerebrovascular disease and cognitive disorders. Traditionally, CMBs are manually interpreted based on criteria including the shape, diameter, and signal ch...
Deep Learning Magnetic Resonance Imaging Cerebral Hemorrhage Predictive Value of Tests Image Interpretation, Computer-Assisted Aged Aged, 80 and over Adult Male Middle Aged Humans Retrospective Studies Female Reproducibility of Results
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Improving Prehospital Stroke Diagnosis Using Natural Language Processing of Paramedic Reports.

Stroke Jun 24, 2021
BACKGROUND AND PURPOSE: Accurate prehospital diagnosis of stroke by emergency medical services (EMS) can increase treatments rates, mitigate disability, and reduce stroke deaths. We aimed to develop a model that utilizes natural language processing o...
Stroke Research Report Chicago Allied Health Personnel Male Middle Aged Emergency Medical Services Natural Language Processing Humans Retrospective Studies Female Aged Aged, 80 and over
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Multimodal deep learning with feature level fusion for identification of choroidal neovascularization activity in age-related macular degeneration.

Acta ophthalmologica Jun 23, 2021
PURPOSE: This study aimed to determine the efficacy of a multimodal deep learning (DL) model using optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) images for the assessment of choroidal neovascularization (CNV) ...
Humans Retrospective Studies Middle Aged Deep Learning Tomography, Optical Coherence Macular Degeneration Choroidal Neovascularization Female Aged Aged, 80 and over Cross-Sectional Studies Male
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Tissue outcome prediction in hyperacute ischemic stroke: Comparison of machine learning models.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Jun 23, 2021
Machine Learning (ML) has been proposed for tissue fate prediction after acute ischemic stroke (AIS), with the aim to help treatment decision and patient management. We compared three different ML models to the clinical method based on diffusion-perf...
Reperfusion Diffusion Magnetic Resonance Imaging Infarction Male Retrospective Studies Humans Middle Aged Clinical Decision-Making Machine Learning Follow-Up Studies Female Brain Predictive Value of Tests Aged Prognosis Ischemic Stroke Aged, 80 and over
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Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values.

PLoS computational biology Jun 23, 2021
Identification of those at greatest risk of death due to the substantial threat of COVID-19 can benefit from novel approaches to epidemiology that leverage large datasets and complex machine-learning models, provide data-driven intelligence, and guid...
Humans Machine Learning Risk Factors Aged Aged, 80 and over Young Adult Adult COVID-19 Retrospective Studies Intensive Care Units Female SARS-CoV-2 England Adolescent Child, Preschool Child Logistic Models Male Patient Admission Middle Aged Infant Comorbidity Severity of Illness Index
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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...
Diagnosis, Computer-Assisted Cognitive Dysfunction Decision Support Systems, Clinical Computational Biology Databases, Factual Neuropsychological Tests Humans Area Under Curve Aged Neural Networks, Computer Aged, 80 and over Sensitivity and Specificity Case-Control Studies
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