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.
no code implementations • 2 May 2022 • Mark Reid, James Montgomery, Barry Drake, Avraham Ruderman
This document presents the draft specification for delivering machine learning services over HTTP, developed as part of the Protocols and Structures for Inference project, which concluded in 2013.
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.
no code implementations • 28 Mar 2017 • 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.
no code implementations • 3 Sep 2015 • Da Kuang, Barry Drake, Haesun Park
In this paper, we propose a fast method for hierarchical clustering and topic modeling called HierNMF2.