activity
20162021
most citedA Computer Vision Pipeline for Automated Determination of Cardiac Structure and Function and Detection of Disease by Two-Dimensional Echocardiography

30 citations · 44 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM2021

SNPs Filtered by Allele Frequency Improve the Prediction of Hypertension Subtypes

Yiming Li, Sanjiv J. Shah, Donna Arnett +2

Hypertension is the leading global cause of cardiovascular disease and premature death. Distinct hypertension subtypes may vary in their prognoses and require different treatments.…

q-bio.QM2018

Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization

Yuan Luo, Chengsheng Mao, Yiben Yang +5

Hypertension is a heterogeneous syndrome in need of improved subtyping using phenotypic and genetic measurements so that patients in different subtypes share similar pathophysiolog…

cs.CV2017★ 30 cited

A Computer Vision Pipeline for Automated Determination of Cardiac Structure and Function and Detection of Disease by Two-Dimensional Echocardiography

Jeffrey Zhang, Sravani Gajjala, Pulkit Agrawal +13

Automated cardiac image interpretation has the potential to transform clinical practice in multiple ways including enabling low-cost serial assessment of cardiac function in the pr…

cs.CL2016★ 1 cited

An Information Extraction Approach to Prescreen Heart Failure Patients for Clinical Trials

Abhishek Kalyan Adupa, Ravi Prakash Garg, Jessica Corona-Cox +2

To reduce the large amount of time spent screening, identifying, and recruiting patients into clinical trials, we need prescreening systems that are able to automate the data extra…

cs.LG2016★ 13 cited

A Bootstrap Machine Learning Approach to Identify Rare Disease Patients from Electronic Health Records

Ravi Garg, Shu Dong, Sanjiv Shah +1

Rare diseases are very difficult to identify among large number of other possible diagnoses. Better availability of patient data and improvement in machine learning algorithms empo…