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