no code implementations • 21 Dec 2023 • Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry Drake, Hamid Haidarian, Faizan Javed, Haesun Park
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, such as those from healthcare web portals.
no code implementations • 22 Aug 2023 • Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry Drake, Hamid Haidarian, Faizan Javed, Haesun Park
We introduce a novel profile-based patient clustering model designed for clinical data in healthcare.
1 code implementation • 24 Jun 2021 • Dongjin Choi, Sara Evensen, Çağatay Demiralp, Estevam Hruschka
In this work, we extend the DPBD framework to span-level annotation tasks, arguably one of the most time-consuming NLP labeling tasks.
no code implementations • EACL (HCINLP) 2021 • Zijie J. Wang, Dongjin Choi, Shenyu Xu, Diyi Yang
How can we design Natural Language Processing (NLP) systems that learn from human feedback?
1 code implementation • 3 Sep 2020 • Sara Evensen, Chang Ge, Dongjin Choi, Çağatay Demiralp
We operationalize our framework with Ruler, an interactive system that synthesizes labeling rules for document classification by using span-level annotations of users on document examples.
no code implementations • 28 Jul 2019 • Hannah Kim, Dongjin Choi, Barry Drake, Alex Endert, Haesun Park
Topic modeling is commonly used to analyze and understand large document collections.
1 code implementation • 22 Nov 2017 • Dongjin Choi, Lee Sael
SNeCT decomposition is applied to tensor constructed from large scale multi-platform multi-cohort cancer data, PanCan12, constrained on a network built from PathwayCommons database.
no code implementations • 9 Oct 2017 • Jungwoo Lee, Dongjin Choi, Lee Sael
Also, CTD-S is made 5 ~ 86x faster, and 7 ~ 12x more memory-efficient than the state-of-the-art method by removing redundancy.