Diana MacLean

Medical Informatics . Visualization . HCI

PhD Candidate
Computer Science
Stanford University



ADEPT is a tool that identifies medically-relevant words in Patient-Authored Text (PAT). While several tools tackled the problem of Medical Term Identification, they are designed for text authored by experts; ADEPT outperforms them dramatically.


BodyDiagrams, in collaboration with Amy Jang, is tool for visualizing physical symptoms. Online health community users expend a large amount of effort "translating" physical symptoms into text, and vice versa. We hypothesize that facilitating visual communication of physical symptoms will help users express and respond to information requests more efficiently and accurately.


ContentSkeletons is an interface that visualizes the content "topography" of a data set as users search (or browse) for relevant articles. We hypothesize that when users have semi-expertise in a domain (as is often the case for medical topics), ContentSkeletons will help them discover relevant material faster. Over time, we hypothesize that users will acquire a firmer understanding of net corpus content than they would given conventional browsing interfaces.


GraphPrism is in collaboration with Sanjay Kairam, Manolis Savva.


In collaboration with Sudheendra Hangal, Seng Keat Teh, TJ Purtell, and Monica Lam.



Identifying medical terms in patient-authored text: a crowdsourcing-based approach Diana MacLean and Jeffrey Heer. JAMIA 2013.

GraphPrism: Compact Visualization of Network Structure. Sanjay Kairam, Diana MacLean, Manolis Savva and Jeffrey Heer. AVI 2012.

Mining the Web for Medical Hypotheses: A Proof-of- Concept System. Diana MacLean and Margo Seltzer. International Conference on Health Informatics 2011.

Groups Without Tears: Mining Social Topologies from Email. Diana MacLean, Sudheendra Hangal, Seng Keat Teh, Monica S. Lam and Jeffrey Heer. IUI 2011.

Layering in Provenance Systems. Kiran-Kumar Muniswamy-Reddy, Uri Braun, David Holland, Peter Macko, Diana MacLean, Daniel Margo, Margo Seltzer, and Robin Smogor. USENIX 2009.

Choosing a Data Model and Query Language for Provenance. David A. Holland, Uri Braun, Diana Maclean, Kiran-Kumar Muniswamy-Reddy, and Margo Seltzer. International Provenance and Annotation Workshop, 2008.

Workshop & Poster Presentations

Designing a Prototype Interface for Visual Communication of Pain Amy Jang, Diana MacLean and Jeffrey Heer. CHI Extended Abstracts 2013.

An Algorithm and Analysis of Social Topologies from Email and Photo Tags. T. J. Purtell, Diana MacLean, Seng Keat Teh, Sudheendra Hangal, Monica S. Lam, Jeffrey Heer. SNAKDD Workshop 2011.

All friends are not equal: Using weights in social graphs to imp\ rove search. Sudheendra Hangal, Diana MacLean, Monica S. Lam and Jeffrey Heer. SNAKDD Workshop 2010.



My research focuses on medical informatics, with an eye towards building visualization and analysis tools for online health forum members. Previously, I worked on interfaces for browsing and organizing social networks


Email: malcdi - [at] - stanford [dot] edu

You can find me on LinkedIn