research
∙
12/15/2021
Domain-informed neural networks for interaction localization within astroparticle experiments
This work proposes a domain-informed neural network architecture for exp...
share
research
∙
09/19/2021
Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-
Clinical risk stratification for sudden cardiac death (SCD) in hypertrop...
research
∙
09/19/2021
Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model
Hypertrophic cardiomyopathy (HCM) patients have a high incidence of atri...
research
∙
09/19/2021
Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of SNOMED codes
Patients associated with multiple co-occurring health conditions often f...
research
∙
04/19/2019
Approximate Queries and Representations for Large Data Sequences
Many new database application domains such as experimental sciences and ...
research
∙
11/17/2017
Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Records
Multiple adverse health conditions co-occurring in a patient are typical...
research
∙
01/23/2013