AIMC Topic: Aged, 80 and over

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Machine-Learning-Derived Model for the Stratification of Cardiovascular risk in Patients with Ischemic Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 31, 2021
UNLABELLED: Background Stratification of cardiovascular risk in patients with ischemic stroke is important as it may inform management strategies. We aimed to develop a machine-learning-derived prognostic model for the prediction of cardiovascular ri...
Aged, 80 and over Male Cardiovascular Diseases Middle Aged Risk Assessment Time Factors Retrospective Studies Clinical Decision-Making Female Reproducibility of Results Humans Aged Machine Learning Decision Support Techniques Prognosis Predictive Value of Tests Ischemic Stroke Registries Heart Disease Risk Factors
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Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study.

The Lancet. Digital health Jul 29, 2021
BACKGROUND: Self-reported symptoms during the COVID-19 pandemic have been used to train artificial intelligence models to identify possible infection foci. To date, these models have only considered the culmination or peak of symptoms, which is not s...
Chest Pain Dyspnea United Kingdom Early Diagnosis Epidemiologic Studies Anosmia Male Middle Aged Adolescent Mobile Applications Models, Biological Self Report Aged Artificial Intelligence Aged, 80 and over Pandemics Young Adult COVID-19 Humans Adult Prospective Studies Sensitivity and Specificity Female SARS-CoV-2
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A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study.

IEEE journal of biomedical and health informatics Jul 27, 2021
OBJECTIVE: Coronavirus disease 2019 (COVID-19) has caused considerable morbidity and mortality, especially in patients with underlying health conditions. A precise prognostic tool to identify poor outcomes among such cases is desperately needed.
Humans COVID-19 Prognosis Retrospective Studies Tomography, X-Ray Computed Female Lung Comorbidity Deep Learning ROC Curve SARS-CoV-2 Imaging, Three-Dimensional Aged Radiographic Image Interpretation, Computer-Assisted Aged, 80 and over Male Middle Aged
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Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2021
OBJECTIVES: Classifying the possibility of home discharge is important during stroke rehabilitation to support decision-making. There have been several studies on supervised machine learning algorithms, but only a few have compared the performance of...
Humans Decision Support Techniques Databases, Factual Prognosis Female Decision Trees Discriminant Analysis Aged Patient Discharge Aged, 80 and over Stroke Male Middle Aged Supervised Machine Learning Support Vector Machine Stroke Rehabilitation
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Identification of Tissue of Origin and Guided Therapeutic Applications in Cancers of Unknown Primary Using Deep Learning and RNA Sequencing (TransCUPtomics).

The Journal of molecular diagnostics : JMD Jul 26, 2021
Cancers of unknown primary (CUP) are metastatic cancers for which the primary tumor is not found despite thorough diagnostic investigations. Multiple molecular assays have been proposed to identify the tissue of origin (TOO) and inform clinical care;...
Deep Learning RNA-Seq Data Accuracy Neoplasms, Unknown Primary Gene Fusion Humans Prospective Studies Retrospective Studies Female Aged Aged, 80 and over Adult Biomarkers, Tumor Male Middle Aged Transcriptome
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A hybrid machine learning/pharmacokinetic approach outperforms maximum a posteriori Bayesian estimation by selectively flattening model priors.

CPT: pharmacometrics & systems pharmacology Jul 26, 2021
Model-informed precision dosing (MIPD) approaches typically apply maximum a posteriori (MAP) Bayesian estimation to determine individual pharmacokinetic (PK) parameters with the goal of optimizing future dosing regimens. This process combines knowled...
Humans Machine Learning Anti-Bacterial Agents Female Bayes Theorem Aged Models, Biological Aged, 80 and over Vancomycin Adult Drug Dosage Calculations Male Pharmacokinetics Middle Aged
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Classification of glioblastoma versus primary central nervous system lymphoma using convolutional neural networks.

Scientific reports Jul 26, 2021
A subset of primary central nervous system lymphomas (PCNSL) are difficult to distinguish from glioblastoma multiforme (GBM) on magnetic resonance imaging (MRI). We developed a convolutional neural network (CNN) to distinguish these tumors on contras...
Aged, 80 and over Young Adult Adult Brain Neoplasms Male Middle Aged Lymphoma Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma Humans Neural Networks, Computer Machine Learning Female Aged
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Diagnosis and Treatment Effect of Convolutional Neural Network-Based Magnetic Resonance Image Features on Severe Stroke and Mental State.

Contrast media & molecular imaging Jul 26, 2021
The purpose of this paper is to explore the impact of magnetic resonance imaging (MRI) image features based on convolutional neural network (CNN) algorithm and conditional random field on the diagnosis and mental state of patients with severe stroke....
Case-Control Studies Aged Cognitive Dysfunction Humans Image Processing, Computer-Assisted Stroke Aged, 80 and over Neural Networks, Computer Follow-Up Studies Adult Algorithms Cerebral Small Vessel Diseases Magnetic Resonance Imaging Prognosis Female Male Middle Aged
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Artificial Intelligence-Enabled ECG to Identify Silent Atrial Fibrillation in Embolic Stroke of Unknown Source.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 22, 2021
OBJECTIVES: Embolic strokes of unknown source (ESUS) are common and often suspected to be caused by unrecognized paroxysmal atrial fibrillation (AF). An AI-enabled ECG (AI-ECG) during sinus rhythm has been shown to identify patients with unrecognized...
Aged, 80 and over Male Middle Aged Risk Assessment Time Factors Action Potentials Artificial Intelligence Female Risk Factors Hospitalization Aged Heart Rate Embolic Stroke Predictive Value of Tests Signal Processing, Computer-Assisted Registries Electrocardiography, Ambulatory Atrial Fibrillation Humans
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Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning.

Cancer science Jul 21, 2021
Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a new bisulfite-free technique, which can detect the whole-genome methylation of blood cell-free DNA (cfDNA). Using this technique, we identified differentia...
DNA Methylation Cell-Free Nucleic Acids Multiple Pulmonary Nodules High-Throughput Nucleotide Sequencing Immunoprecipitation Machine Learning Prognosis Female Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Humans Case-Control Studies Lung Neoplasms
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