VBridge: Connecting the Dots Between Features and Data to Explain
Healthcare Models

VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models

4 August 2021

Alexandra Zytek

Huamin Qu

K. Veeramachaneni

Papers citing "VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models"

6 / 6 papers shown

Title
HealthPrism: A Visual Analytics System for Exploring Children's Physical and Mental Health Profiles with Multimodal Data Zhihan Jiang Handi Chen Rui Zhou Jing Deng Xinchen Zhang Running Zhao Cong Xie Yifang Wang Edith C. H. Ngai 19 4 0 23 Jul 2023
DASS Good: Explainable Data Mining of Spatial Cohort Data A. Wentzel Carla Floricel G. Canahuate Mohamed A.Naser A. Mohamed Clifton Fuller L. V. Dijk G. Marai OOD 25 5 0 10 Apr 2023
AER: Auto-Encoder with Regression for Time Series Anomaly Detection Lawrence Wong Dongyu Liu Laure Berti-Equille Sarah Alnegheimish K. Veeramachaneni AI4TS 11 18 0 27 Dec 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 28 90 0 14 Sep 2022
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series Dongyu Liu Sarah Alnegheimish Alexandra Zytek K. Veeramachaneni AI4TS 19 20 0 10 Dec 2021
Towards Better Bus Networks: A Visual Analytics Approach Di Weng Chen Zheng Zikun Deng Mingze Ma Jie Bao Yu Zheng Mingliang Xu Yingcai Wu HAI 29 52 0 25 Aug 2020