DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways

26 April 2019

Papers citing "DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways"

5 / 5 papers shown

Title
From Data Dump to Digestible Chunks: Automated Segmentation and Summarization of Provenance Logs for Communication Jeremy E. Block Donald R. Honeycutt Brett Benda Benjamin Rheault Eric D. Ragan 30 1 0 06 Sep 2024
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups Bum Chul Kwon U. Kartoun S. Khurshid Mikhail Yurochkin Subha Maity Deanna G. Brockman A. Khera P. Ellinor S. Lubitz Kenney Ng 30 11 0 14 Sep 2022
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 23 216 0 21 Aug 2020
Survey on Visual Analysis of Event Sequence Data Yi Guo Shunan Guo Zhuochen Jin Smiti Kaul David Gotz Nan Cao AI4TS 29 103 0 25 Jun 2020
Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding Rongchen Guo Takanori Fujiwara Yiran Li K. Lima S. Sen N. Tran K. Ma 14 31 0 18 Feb 2020