An Application of Machine Learning to Etiological Diagnosis of Secondary Hypertension: Retrospective Study Using Electronic Medical Records

Comparison and development of machine learning tools for the prediction of chronic obstructive pulmonary disease in the Chinese population

(2020) Xia Ma et al.   Journal of Translational Medicine

Learning from Longitudinal Data in Electronic Health Record and Genetic Data to Improve Cardiovascular Event Prediction

(2019) Juan Zhao et al.   Scientific Reports

Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT

(2019) Jeong Hoon Lee et al.   EUROPEAN RADIOLOGY

Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome – the MADDEC study

(2019) Jussi A. Hernesniemi et al.   ANNALS OF MEDICINE

Prospective Validation of a Real-time Early Warning System for Monitoring Inpatient Mortality Risk Using Electronic Medical Record Data (Preprint)

(2019) Chengyin Ye et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Prediction of the 1-Year Risk of Incident Lung Cancer: Prospective Study Using Electronic Health Records from the State of Maine

(2019) Xiaofang Wang et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

(2019) Diego Ardila et al.   NATURE MEDICINE

On the interpretability of machine learning-based model for predicting hypertension

(2019) Radwa Elshawi et al.   BMC Medical Informatics and Decision Making

Alert-based computerized decision support for high-risk hospitalized patients with atrial fibrillation not prescribed anticoagulation: a randomized, controlled trial (AF-ALERT)

(2019) Gregory Piazza et al.   EUROPEAN HEART JOURNAL

A clinically applicable approach to continuous prediction of future acute kidney injury

(2019) Nenad Tomašev et al.   NATURE

Universal artificial intelligence platform for collaborative management of cataracts

(2019) Xiaohang Wu et al.   BRITISH JOURNAL OF OPHTHALMOLOGY

Machine Learning to Predict the Likelihood of Acute Myocardial Infarction

(2019) Martin P. Than et al.   CIRCULATION

An artificial intelligent diagnostic system on mobile Android terminals for cholelithiasis by lightweight convolutional neural network

(2019) Shanchen Pang et al.   PLoS One

Assessment of Deep Learning Using Nonimaging Information and Sequential Medical Records to Develop a Prediction Model for Nonmelanoma Skin Cancer

(2019) Hsiao-Han Wang et al.   JAMA Dermatology

Predicting in-hospital rupture of type A aortic dissection using random forest

(2019) Jinlin Wu et al.   Journal of Thoracic Disease

Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension

(2018) Chayakrit Krittanawong et al.   CURRENT HYPERTENSION REPORTS

Fuwai Hospital, Beijing, China

(2018) Firat Duru   EUROPEAN HEART JOURNAL

Diagnostic assessment of a deep learning system for detecting atrial fibrillation in pulse waveforms

(2018) Ming-Zher Poh et al.   HEART

Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning

(2018) Chengyin Ye et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Artificial Intelligence in Cardiology

(2018) Kipp W. Johnson et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project

(2018) Sherif Sakr et al.   PLoS One

Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization

(2018) Mizuho Nishio et al.   PLoS One

An application of machine learning to haematological diagnosis

(2018) Gregor Gunčar et al.   Scientific Reports

An effective computer aided diagnosis model for pancreas cancer on PET/CT images

(2018) Siqi Li et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

eDoctor: machine learning and the future of medicine

(2018) G. S. Handelman et al.   JOURNAL OF INTERNAL MEDICINE

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Prediction of Prehypertenison and Hypertension Based on Anthropometry, Blood Parameters, and Spirometry

(2018) Byeong Mun Heo et al.   International Journal of Environmental Research and Public Health

Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study

(2018) Chenxi Huang et al.   PLOS MEDICINE

Development and Evaluation of a Mobile Decision Support System for Hypertension Management in the Primary Care Setting in Brazil: Mixed-Methods Field Study on Usability, Feasibility, and Utility

(2018) Daniel Vitório Silveira et al.   JMIR mHealth and uHealth

Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data

(2018) Jaram Park et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Prognostic value of plasma NT-proBNP levels in very old patients with moderate renal insufficiency in China

(2017) Peng Gao et al.   ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE

ACR Appropriateness Criteria ® Renovascular Hypertension

(2017) Howard J. Harvin et al.   Journal of the American College of Radiology

Secondary hypertension in adults

(2016) TH Puar et al.   SINGAPORE MEDICAL JOURNAL

Essential Hypertension vs. Secondary Hypertension Among Children

(2014) M. Gupta-Malhotra et al.   AMERICAN JOURNAL OF HYPERTENSION

Secondary arterial hypertension: when, who, and how to screen?

(2013) S. F. Rimoldi et al.   EUROPEAN HEART JOURNAL