AIMC Topic: Natriuretic Peptide, Brain
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Artificial intelligence universal biomarker prediction tool.
Journal of thrombosis and thrombolysis
Dec 20, 2023
Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker prediction tool was developed to help patients understand improvement in the trends of their disease. PyPI tool handles two biomarkers, hbA1c for diabetes and...
Deep learning-based NT-proBNP prediction from the ECG for risk assessment in the community.
Clinical chemistry and laboratory medicine
Nov 20, 2023
OBJECTIVES: The biomarker N-terminal pro B-type natriuretic peptide (NT-proBNP) has predictive value for identifying individuals at risk for cardiovascular disease (CVD). However, it is not widely used for screening in the general population, potenti...
Prediction of Incident Atrial Fibrillation in Chronic Kidney Disease: The Chronic Renal Insufficiency Cohort Study.
Clinical journal of the American Society of Nephrology : CJASN
Jul 12, 2021
BACKGROUND AND OBJECTIVES: Atrial fibrillation (AF) is common in CKD and associated with poor kidney and cardiovascular outcomes. Prediction models developed using novel methods may be useful to identify patients with CKD at highest risk of incident ...
Deep Learning for Detection of Elevated Pulmonary Artery Wedge Pressure Using Standard Chest X-Ray.
The Canadian journal of cardiology
Feb 18, 2021
BACKGROUND: To accurately diagnose and control heart failure (HF), it is important to carry out a simple assessment of elevated pulmonary arterial wedge pressure (PAWP). The aim of this study was to develop and validate an objective method for detect...
Identifying Phenogroups in patients with subclinical diastolic dysfunction using unsupervised statistical learning.
BMC cardiovascular disorders
Aug 14, 2020
BACKGROUND: Subclinical diastolic dysfunction is a precursor for developing heart failure with preserved ejection fraction (HFpEF); yet not all patients progress to HFpEF. Our objective was to evaluate clinical and echocardiographic variables to iden...
Heart Failure
Ventricular Dysfunction, Left
Natriuretic Peptide, Brain
Asymptomatic Diseases
Diastole
Deep Learning
Cluster Analysis
Unsupervised Machine Learning
Predictive Value of Tests
Peptide Fragments
Risk Factors
Aged
Aged, 80 and over
Male
Ventricular Function, Left
Stroke Volume
Echocardiography
Middle Aged
Risk Assessment
Disease Progression
Diagnosis, Computer-Assisted
Humans
Biomarkers
Retrospective Studies
Female
Pulmonary Embolism in Acute Asthma Exacerbation: Clinical Characteristics, Prediction Model and Hospital Outcomes.
Lung
May 18, 2020
PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) during episodes of asthma exacerbation. We aimed to characterize patients diagnosed with acute PE in the setting of asthma exacerbation, develop a predicti...
Clinical Decision Rules
Hospitals, University
Heart Rate
Natriuretic Peptide, Brain
Male
Fibrin Fibrinogen Degradation Products
Middle Aged
Intensive Care Units
Computed Tomography Angiography
Disease Progression
Female
Humans
Length of Stay
Comorbidity
Aged
Machine Learning
Adult
Body Mass Index
Case-Control Studies
Asthma
Oxygen
International Normalized Ratio
Pulmonary Embolism
Creatinine
Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques.
Scientific reports
Jan 14, 2020
Severely burned and non-burned trauma patients are at risk for acute kidney injury (AKI). The study objective was to assess the theoretical performance of artificial intelligence (AI)/machine learning (ML) algorithms to augment AKI recognition using ...
Original signal amplification assay for N-Terminal pro-brain natriuretic peptide detection based on BiMoO photosensitive matrix.
Analytica chimica acta
Dec 16, 2019
An original dual signal amplification immunoassay for N-Terminal pro-brain natriuretic peptide (NT-proBNP) detection is developed based on Au NPs and Zn doped CdS nanoparticles (ZnCdS) co-sensitized BiMoO nanosheet photoelectrochemical (PEC) platform...
Clinical Significance of Circulating Cardiomyocyte-Specific Cell-Free DNA in Patients With Heart Failure: A Proof-of-Concept Study.
The Canadian journal of cardiology
Oct 19, 2019
We investigated clinical significance of cell-free DNA (cfDNA) in heart failure. This study enrolled 32 heart failure patients and 28 control subjects. Total cfDNA levels were not different between groups (P = 0.343). Bisulfite-digital polymerase cha...
Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept.
Burns : journal of the International Society for Burn Injuries
Jun 21, 2019
BACKGROUND: Burn critical care represents a high impact population that may benefit from artificial intelligence and machine learning (ML). Acute kidney injury (AKI) recognition in burn patients could be enhanced by ML. The goal of this study was to ...
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