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VAHC 2017: Phoenix, AZ, USA
- IEEE Workshop on Visual Analytics in Healthcare, VAHC 2017, Phoenix, AZ, USA, October 1, 2017. IEEE 2017, ISBN 978-1-5386-3187-4

- Zhongyuan Yu

, Kara Pepe, George Rust, Jose Emmanuel Ramirez-Marquez, Shun Zhang, Bryan Bonnet:
Patient-provider geographic map: An interactive visualization tool of patients' selection of health care providers. 1-8 - Deisy Diaz, Julieta Villegas, John Alexis Guerra Gómez, Nathalie Charpak, José Tiberio Hernández

:
Visual tools for the exploration of growth data in a cohort of kangaroo infants during their first year of life. 9-16 - Ganesh R. Iyer, Sapoonjyoti Duttaduwarah, Ashish Sharma:

DataScope: Interactive visual exploratory dashboards for large multidimensional data. 17-23 - Andrea Yáñez, Jim Duggan, Conor Hayes

, Musfira Jilani, Maire Connolly:
PandemCap: Decision support tool for epidemic management. 24-30 - Maksim Gomov, Jia-Kai Chou, Jianping Kelvin Li, Soman Sen, Kiho Cho, Nam K. Tran

, Kwan-Liu Ma:
Aiding infection analysis and diagnosis through temporally-contextualized matrix representations. 31-38 - Humberto S. Garcia Caballero

, Alberto Corvò
, Prabhakar M. Dixit, Michel A. Westenberg:
Visual analytics for evaluating clinical pathways. 39-46 - Manu Mathew Thomas, Thomas George Kannampallil

, Joanna Abraham, G. Elisabeta Marai:
Echo: A large display interactive visualization of ICU data for effective care handoffs. 47-54 - Filip Dabek, Elizabeth Jimenez, Jesus J. Caban:

A timeline-based framework for aggregating and summarizing electronic health records. 55-61 - Sandeep Kumar Jain, Maryam Rahimian, Robin M. Joyce, Jessica A. Zerillo, Jeremy L. Warner:

Using network graphs to visualize changing documentation styles in an oncology practice before and after opennotes implementation. 62-68 - Felwa A. Abukhodair, Khalid Khashoggi, Tim O'Connell, Chris D. Shaw:

RadStream: An interactive visual display of radiology workflow for delay detection in the clinical imaging process. 69-76 - Alberto Corvò

, Marc A. van Driel, Michel A. Westenberg:
PathoVA: A visual analytics tool for pathology diagnosis and reporting. 77-83 - Andreas Bannach, Jürgen Bernard, Florian Jung, Jörn Kohlhammer, Thorsten May, Kathrin Scheckenbach, Stefan Wesarg:

Visual analytics for radiomics: Combining medical imaging with patient data for clinical research. 84-91

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