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Precision Health Database


Precision Health Database|Search|PHGKB

Heart, Lung, Blood and Sleep Disorders

Last data update: Jun 08, 2023. (Total: 60148 Documents since 2012)
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Social bias in artificial intelligence algorithms designed to improve cardiovascular risk assessment relative to the Framingham Risk Score: a protocol for a systematic review.
Ivneet Garcha et al. BMJ Open 2023 13(5) e067638
Development and validation of explainable machine-learning models for carotid atherosclerosis early screening.
Ke Yun et al. J Transl Med 2023 21(1) 353
Interpretable Machine Learning Model Predicting Early Neurological Deterioration in Ischemic Stroke Patients Treated with Mechanical Thrombectomy: A Retrospective Study.
Tongtong Yang et al. Brain Sci 2023 13(4)
Machine learning for the prediction of cognitive impairment in older adults.
Wanyue Li et al. Front Neurosci 2023 171158141
Artificial neural network machine learning prediction of the smoking behavior and health risks perception of Indonesian health professionals.
Desy Nuryunarsih et al. Environ Anal Health Toxicol 2023 38(1) e2023003-0
Defining the Age of Young Ischemic Stroke Using Data-Driven Approaches.
Vida Abedi et al. J Clin Med 2023 12(7)
A Hybrid Stacked CNN and Residual Feedback GMDH-LSTM Deep Learning Model for Stroke Prediction Applied on Mobile AI Smart Hospital Platform.
Bassant M Elbagoury et al. Sensors (Basel) 2023 23(7)
A machine learning model for visualization and dynamic clinical prediction of stroke recurrence in acute ischemic stroke patients: A real-world retrospective study.
Kai Wang et al. Front Neurosci 2023 171130831
Prediction of blood pressure variability during thrombectomy using supervised machine learning and outcomes of patients with ischemic stroke from large vessel occlusion.
Daniel Najafali et al. J Thromb Thrombolysis 2023
Using Deep-Learning-Based Artificial Intelligence Technique to Automatically Evaluate the Collateral Status of Multiphase CTA in Acute Ischemic Stroke.
Chun-Chao Huang et al. Tomography (Ann Arbor, Mich.) 2023 9(2) 647-656
Development and validation of machine learning-based model for mortality prediction in patients with acute basilar artery occlusion receiving endovascular treatment: multicentric cohort analysis.
Chang Liu et al. Journal of neurointerventional surgery 2023
The predictors of death within 1 year in acute ischemic stroke patients based on machine learning.
Kai Wang et al. Frontiers in neurology 2023 141092534
Big Data in Stroke: How to Use Big Data to Make the Next Management Decision.
Yuzhe Liu et al. Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics 2023
MRI Radiomics and Predictive Models in Assessing Ischemic Stroke Outcome-A Systematic Review.
Hanna Maria Drago? et al. Diagnostics (Basel, Switzerland) 2023 13(5)
Computed Tomography of the Head : A Systematic Review on Acquisition and Reconstruction Techniques to Reduce Radiation Dose.
Michael Dieckmeyer et al. Clinical neuroradiology 2023
Development and validation of echocardiography-based machine-learning models to predict mortality.
Akshay Valsaraj et al. EBioMedicine 2023 90104479
Development of rapid and effective risk prediction models for stroke in the Chinese population: a cross-sectional study.
Yuexin Qiu et al. BMJ open 2023 13(3) e068045
Value of baseline characteristics in the risk prediction of atrial fibrillation.
Jiacheng He et al. Frontiers in cardiovascular medicine 2023 101068562
Development and Validation of a Novel Score for Predicting Long-Term Mortality after an Acute Ischemic Stroke.
Ching-Heng Lin et al. International journal of environmental research and public health 2023 20(4)
Social Determinants, Cardiovascular Disease, and Health Care Cost: A Nationwide Study in the United States Using Machine Learning.
Feinuo Sun et al. Journal of the American Heart Association 2023 e027919
Stroke mortality prediction based on ensemble learning and the combination of structured and textual data.
Ruixuan Huang et al. Computers in biology and medicine 2023 155106176
Predicting later categories of upper limb activity from earlier clinical assessments following stroke: an exploratory analysis.
Jessica Barth et al. Journal of neuroengineering and rehabilitation 2023 20(1) 24
Life's Essential 8 and 10-Year and Lifetime Risk of Atherosclerotic Cardiovascular Disease in China.
Cheng Jin et al. American journal of preventive medicine 2023
Development and validation of ischemic heart disease and stroke prognostic models using large-scale real-world data from Japan.
Shigeto Yoshida et al. Environmental health and preventive medicine 2023 2816
Prediction of short-term atrial fibrillation risk using primary care electronic health records.
Ramesh Nadarajah et al. Heart (British Cardiac Society) 2023
Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivors' Functional Outcome upon Discharge Utilizing Explainable Machine Learning.
Aimilios Gkantzios et al. Diagnostics (Basel, Switzerland) 2023 13(3)
Integrated Machine Learning Decision Tree Model for Risk Evaluation in Patients with Non-Valvular Atrial Fibrillation When Taking Different Doses of Dabigatran.
Yung-Chuan Huang et al. International journal of environmental research and public health 2023 20(3)
The diagnostic performance of artificial intelligence algorithms for identifying M2 segment middle cerebral artery occlusions: A systematic review and meta-analysis.
Sherief Ghozy et al. Journal of neuroradiology = Journal de neuroradiologie 2023
Validation of risk prediction models applied to longitudinal electronic health record data for the prediction of major cardiovascular events in the presence of data shifts.
Yikuan Li et al. European heart journal. Digital health 2023 3(4) 535-547
Twenty-eight-day in-hospital mortality prediction for elderly patients with ischemic stroke in the intensive care unit: Interpretable machine learning models.
Jian Huang et al. Frontiers in public health 2023 101086339
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