activity
20112022
most citedApproximate Queries and Representations for Large Data Sequences

260 citations · 411 across the 11 of their papers we have counts for

collaborators

11 papers

astro-ph.IM20222 cited

A Method for Quantifying Position Reconstruction Uncertainty in Astroparticle Physics using Bayesian Networks

Christina Peters, Aaron Higuera, Shixiao Liang +4

Robust position reconstruction is paramount for enabling discoveries in astroparticle physics as backgrounds are significantly reduced by only considering interactions within the f…

cs.LG202175 cited

Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model)

Moumita Bhattacharya, Dai-Yin Lu, Shibani M Kudchadkar +10

Clinical risk stratification for sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HC) employs rules derived from American College of Cardiology Foundation/American Heart…

cs.LG202121 cited

Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model

Moumita Bhattacharya, Dai-Yin Lu, Ioannis Ventoulis +9

Hypertrophic cardiomyopathy (HCM) patients have a high incidence of atrial fibrillation (AF) and increased stroke risk, even with low risk of congestive heart failure, hypertension…

cs.LG202115 cited

Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of SNOMED codes

Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay

Patients associated with multiple co-occurring health conditions often face aggravated complications and less favorable outcomes. Co-occurring conditions are especially prevalent a…

cs.DB2019260 cited

Approximate Queries and Representations for Large Data Sequences

Hagit Shatkay, Stanley B. Zdonik

Many new database application domains such as experimental sciences and medicine are characterized by large sequences as their main form of data. Using approximate representation c…

q-bio.QM2017

Assessing Chronic Kidney Disease from Office Visit Records Using Hierarchical Meta-Classification of an Imbalanced Dataset

M. Bhattacharya, C. Jurkovitz, H. Shatkay

Chronic Kidney Disease (CKD) is an increasingly prevalent condition affecting 13% of the US population. The disease is often a silent condition, making its diagnosis challenging. I…