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Research Labs

The Das Lab

Lab Overview

Research in Dr. Das’s lab focuses on technological innovations for acquiring, applying and mining structured and axiomatic knowledge, particularly in the form of the Semantic Web standards OWL and SWRL. Although our approach is domain independent, our informatics work is motivated by the needs of clinicians and clinical researchers who capture and share knowledge through collaborative efforts, such as in comparative effectiveness research, clinical trials management, and disease phenotype characterization. Our semantic computing methods can enable both people and computers to rapidly and intelligently make sense of complex clinical information, such as longitudinal data, clinical protocols, and rule bases.

Highlights of our recent work include:

Temporal mining methods that discover temporal associations between new mutations and past treatments in HIV drug resistance and that perform temporal clustering of patient cohorts based on similar histories of breast cancer care.

Semantic integration methods that can acquire knowledge about biomedical concepts encoded in CSV spreadsheets and that can allow XML-driven specification of clinical trial software.

Rule management methods that support predictive rule editing for acquiring definitions of autism phenotypes and that allow visualization of logical dependencies among rules on family health history.

Intelligent user interface methods that support question answering of online resources on HIV drug resistance and that enable Web-based exploration of temporal data for comparative effectiveness research.

Related People

Saeed Hassanpour
EE PhD Candidate
BMI PhD Minor Student
Susana B. Martins
Software Developer
Martin J. O'Connor, M.Sc.
System Software Developer
Brendan Stubbs
MS Student
Samson W. Tu, M.S.
Sr. Research Engineer
Noah Zimmerman
PhD Student

Related Publications Only the 5 most recent displayed

BMIR-2013-1497
Mindreading Deception in Dialog
A. Isaac
. In Press in 2013
BMIR-2012-1438
Adaptive System for Collaborative Online Laboratories
C. Gravier, M. J. O'Connor, J. Fayolle, J. Lardon
IEEE Intelligent Systems. In Press in 2012
BMIR-2011-1496
Recognizing Deception: A Model of Dynamic Belief Attribution
, A. Isaac
AAAI 2011 Fall Symposium on Advances in Cognitive Systems, Arlington, VA, AAAI Press. Published in 2011
BMIR-2011-1470
SWRL-F - A Fuzzy Logic Extension of the Semantic Web Rule Language
T. W. Wlodarczyk, C. Rong, M. J. O'Connor, M. A. Musen
International Conference on Web Intelligence, Mining and Semantics (WIMS), Sogndal, Norway, ACM. Published in 2011
BMIR-2011-1465
A computational account of everyday abductive inference
, P. Langley
Thirty-Third Annual Conference of the Cognitive Science Society, Boston, MA, 2289-2294. Published in 2011

Projects

OncoShare
View Project
Phenologue
View Project
Quadri
View Project
SWEETInfo
View Project
Unified Theories of Language Cognition (UTLC)
View Project

Related Events

BMIR Colloquium
BMIR Colloquium: "Deducing Answers to English Questions from Structured Clinical Data: The Quadri Project"
Date:
Thu, Feb 3 2011
Time:
12:15-1:15pm
Location:
MSOB X275
Speaker:
Daniel G. Bobrow, PhD*, Research Fellow
Project:
Quadri
Affiliation:
Palo Alto Research Center

Stanford School of Medicine