activity
20152023
most citedPatient Clustering via Integrated Profiling of Clinical and Digital Data

5 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023

WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data

Dongjin Choi, Andy Xiang, Ozgur Ozturk +5

In the rapidly evolving healthcare industry, platforms now have access to not only traditional medical records, but also diverse data sets encompassing various patient interactions…

cs.LG2023★ 5 cited

Patient Clustering via Integrated Profiling of Clinical and Digital Data

Dongjin Choi, Andy Xiang, Ozgur Ozturk +5

We introduce a novel profile-based patient clustering model designed for clinical data in healthcare. By utilizing a method grounded on constrained low-rank approximation, our mode…

cs.IR2019★ 2 cited

TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling

Hannah Kim, Dongjin Choi, Barry Drake +2

Topic modeling is commonly used to analyze and understand large document collections. However, in practice, users want to focus on specific aspects or "targets" rather than the ent…

cs.LG2017★ 1 cited

Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization

Rundong Du, Barry Drake, Haesun Park

We present a hybrid method for latent information discovery on the data sets containing both text content and connection structure based on constrained low rank approximation. The…

cs.LG2015

Fast Clustering and Topic Modeling Based on Rank-2 Nonnegative Matrix Factorization

Da Kuang, Barry Drake, Haesun Park

The importance of unsupervised clustering and topic modeling is well recognized with ever-increasing volumes of text data. In this paper, we propose a fast method for hierarchical…