Precision Health Database

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Explanatory Analysis of a Machine Learning Model to Identify Hypertrophic Cardiomyopathy Patients from EHR Using Diagnostic Codes. Farahani Nasibeh Zanjirani et al. Proceedings. IEEE International Conference on Bioinformatics and Biomedicine 2021 20201932-1937 Similar articles in PubMed
A machine learning-based risk stratification model for ventricular tachycardia and heart failure in hypertrophic cardiomyopathy. Smole Tim et al. Computers in biology and medicine 2021 135104648 Similar articles in PubMed
Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model. Bhattacharya Moumita et al. CJC open 2021 3(6) 801-813 Similar articles in PubMed
A radiomic approach to predict myocardial fibrosis on coronary CT angiography in hypertrophic cardiomyopathy. Qin Le et al. International journal of cardiology 2021 Similar articles in PubMed
Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks. Sammani Arjan et al. NPJ digital medicine 2021 4(1) 37 Similar articles in PubMed
Neural-Network-Based Diagnosis Using 3-Dimensional Myocardial Architecture and Deformation: Demonstration for the Differentiation of Hypertrophic Cardiomyopathy. Satriano Alessandro et al. Frontiers in cardiovascular medicine 2020 7584727 Similar articles in PubMed
Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images. Zhou Hongyu et al. European radiology 2020 Nov Similar articles in PubMed
Machine Learning Outcome Prediction in Dilated Cardiomyopathy Using Regional Left Ventricular Multiparametric Strain. MacGregor Robert M et al. Annals of biomedical engineering 2020 Oct Similar articles in PubMed
Machine learning based classification and diagnosis of clinical cardiomyopathies. Alimadadi Ahmad et al. Physiological genomics 2020 Aug Similar articles in PubMed
Biventricular imaging markers to predict outcomes in non-compaction cardiomyopathy: a machine learning study. Rocon Camila et al. ESC heart failure 2020 Jun Similar articles in PubMed
Development and application of artificial intelligence in cardiac imaging. Jiang Beibei et al. The British journal of radiology 2020 Feb 20190812 Similar articles in PubMed
Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy (HCM-VAr-Risk Model). Bhattacharya Moumita et al. The American journal of cardiology 2019 123(10) 1681-1689 Similar articles in PubMed
Machine learning detection of obstructive hypertrophic cardiomyopathy using a wearable biosensor R Ueno et al, NPJ Digital Medicine, December 2019
Three-dimensional Deep Convolutional Neural Networks for Automated Myocardial Scar Quantification in Hypertrophic Cardiomyopathy: A Multicenter Multivendor Study. Fahmy Ahmed S et al. Radiology 2019 Nov 190737 Similar articles in PubMed
Machine Learning Prediction of Mortality and Hospitalization in Heart Failure with Preserved Ejection Fraction. Angraal Suveen et al. JACC. Heart failure 2019 Oct Similar articles in PubMed
Machine learning detection of obstructive hypertrophic cardiomyopathy using a wearable biosensor. Green Eric M, et al. NPJ digital medicine 2019 0 0. 57 Similar articles in PubMed
UNRAVEL: big data analytics research data platform to improve care of patients with cardiomyopathies using routine electronic health records and standardised biobanking. Sammani A et al. Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation 2019 May Similar articles in PubMed