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Publication search results
found 66 matches
- 2023
- Dario Antweiler, Florian Gallusser, Georg Fuchs:
Multi-Task Transformer Visualization to build Trust for Clinical Outcome Prediction. VAHC 2023: 21-26 - Kashyap Balakavi, Rushitha Janga, Ahmedur Rahman Shovon, Donald M. Dempsey, Elliot J. Lefkowitz, Sidharth Kumar:
Scalable, interactive and hierarchical visualization of virus taxonomic data. VAHC 2023: 34-40 - Markus Höhn, Hendrik Lücke-Tieke, Jan Burmeister, Jörn Kohlhammer:
Towards medhub: A Self-Service Platform for Analysts and Physicians. VAHC 2023: 50-52 - Youngji Koh, Chanhee Lee, Yunhee Ku, Uichin Lee:
Data Visualization for Mental Health Monitoring in Smart Home Environment: A Case Study. VAHC 2023: 53-55 - Sonia Laguna, Julian N. Heidenreich, Jiugeng Sun, Nilüfer Cetin, Ibrahim Al Hazwani, Udo Schlegel, Furui Cheng, Mennatallah El-Assady:
ExpLIMEable: A Visual Analytics Approach for Exploring LIME. VAHC 2023: 27-33 - Eric W. Prince, Todd C. Hankinson, Carsten Görg:
The Iterative Design Process of an Explainable AI Application for Non-Invasive Diagnosis of CNS Tumors: A User-Centered Approach. VAHC 2023: 7-13 - David Sessler, Salmah Ahmad, Jörn Kohlhammer:
Demo: Cohort Visualization and Analysis of Patients with Inflammatory Bowel Disease. VAHC 2023: 41-43 - Masaki Uchihara, Akiyo Tanabe, Hiroshi Kajio:
Clinical Issues and Suggestions: Dashboard Visualization of the Trajectory of Patients with Malignant Hormone-Producing Tumors for Precision Medicine. VAHC 2023: 47-49 - He Wang, Yang Ouyang, Quan Li:
A Visual Analytics Approach to Exploring the Feature and Label Space Based on Semi-structured Electronic Medical Records. VAHC 2023: 44-46 - Workshop on Visual Analytics in Healthcare, VAHC 2023, Melbourne, Australia, October 22, 2023. IEEE 2023, ISBN 979-8-3503-3024-3 [contents]
- 2022
- Adriana Arcia, Daniel Chen, Katherine South:
Browser-based Infographic Tailoring Self-service Interface (BITSI). VAHC 2022: 1-7 - Darius Coelho, Nikita Gupta, Eric Papenhausen, Klaus Mueller:
Patterns of Social Vulnerability - An Interactive Dashboard to Explore Risks to Public Health on the US County Level. VAHC 2022: 1-9 - Humayera Islam, Xiaoxia Li, Md Kamruz Zaman Rana, Khuder Alaboud, Tanmoy Paul, Abdullah Maruf, Abu Saleh Mohammad Mosa:
An In-depth Needs Analysis to Design a Data Visualization Dashboard Prototype for Critical Care Setting. VAHC 2022: 1-6 - Ha Kyung Kong, Ruijia Zhu, Audrey Zhixin Lu, Mingao He, Weichao Yuwen:
The Effects of Data Visualization on User Perceptions of a Health Chatbot. VAHC 2022: 1-6 - Elizabeth Kwong, Amy Cole, Amro Khasawneh, Carl Mhina, Lukasz Mazur, Karthik Adapa, Daniel R. Richardson:
Evaluation of Data Visualizations for an Electronic Patient Preferences Tool for Older Adults Diagnosed with Hematologic Malignancies. VAHC 2022: 1-6 - Danny T. Y. Wu, Derek Shu, Khanh Le, Ruthik Abbu, Kai Zheng:
Applying Visual Analytics to Develop a Clinical Workflow Analysis Tool (CWAT) to Explore Time and Motion Data in Healthcare. VAHC 2022: 1-5 - Workshop on Visual Analytics in Healthcare, VAHC 2022, Washington, DC, USA, November 5, 2022. IEEE 2022, ISBN 979-8-3503-0103-8 [contents]
- 2021
- Salmah Ahmad, David Sessler, Jörn Kohlhammer:
Towards a Comprehensive Cohort Visualization of Patients with Inflammatory Bowel Disease. VAHC 2021: 25-29 - David Borland, Irena Brain, Karamarie Fecho, Emily R. Pfaff, Hao Xu, James Champion, Chris Bizon, David Gotz:
Enabling Longitudinal Exploratory Analysis of Clinical COVID Data. VAHC 2021: 19-24 - Jinbin Huang, Jonathan Plasencia, Dianna M. E. Bardo, Nicholas C. Huber, Erik G. Ellsworth, Steven D. Zangwill, Chris Bryan:
Phoenix Virtual Heart: A Hybrid VR-Desktop Visualization System for Cardiac Surgery Planning and Education. VAHC 2021: 36-40 - Fahd Husain, Rosa Romero Gómez, Emily Kuang, Dario Segura, Adamo Carolli, Lai Chung Liu, Manfred Cheung, Yohann Paris:
A Multi-Scale Visual Analytics Approach for Exploring Biomedical Knowledge. VAHC 2021: 30-35 - Sanjana Srabanti, G. Elisabeta Marai, Fabio Miranda:
COVID-19 EnsembleVis: Visual Analysis of County-Level Ensemble Forecast Models. VAHC 2021: 1-5 - Ashley Suh, Gabriel Appleby, Erik W. Anderson, Luca A. Finelli, Dylan Cashman:
Communicating Performance of Regression Models Using Visualization in Pharmacovigilance. VAHC 2021: 6-13 - Tianyi Zhang, Thomas H. McCoy, Roy H. Perlis, Finale Doshi-Velez, Elena L. Glassman:
Interactive Cohort Analysis and Hypothesis Discovery by Exploring Temporal Patterns in Population-Level Health Records. VAHC 2021: 14-18 - IEEE Workshop on Visual Analytics in Healthcare, VAHC 2021, New Orleans, LA, USA, October 24-25, 2021. IEEE 2021, ISBN 978-1-6654-2067-9 [contents]
- 2020
- Brian E. Dixon, Shaun J. Grannis, Umberto Tachinardi, Jennifer L. Williams, Connor McAndrews, Peter J. Embí:
Daily Visualization of Statewide COVID-19 Healthcare Data. VAHC 2020: 1-3 - Nathan M. Pajor, Lindsay Nickels, Ezra Edgerton, Danny T. Y. Wu, Dan T. Benscoter, James J. Lee:
Feature Extraction and Visualization of Respiratory Therapist Notes for Pediatric Long-Term Ventilator Dependent Patients. VAHC 2020: 26-27 - Jan Scheer, Till Nagel, Thomas Ganslandt:
A visual approach for analyzing readmissions in intensive care medicine. VAHC 2020: 24-25 - Lauren E. Snyder, Ayan Anandkumar Saraf, Reggie Casanova-Perez, Sarah E. Connor, Sheba George, Amelia Wang, Darwin P. Jones, Georgina Mendoza, John L. Gore, Mark S. Litwin, Andrea L. Hartzler:
Visualization Co-Design with Prostate Cancer Survivors who have Limited Graph Literacy. VAHC 2020: 17-23 - Hugues Turbé, Victor Garretas Ruiz, Mina Bjelogrlic, Jessica Rochat, Christian Lovis:
Communicating on Multivariate and Geospatial Data supported by ergonomics criteria: COVID-19 case. VAHC 2020: 4-16
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