Laboratory for Knowledge Technology in Biomedicine

KTLab is research group of faculty and students working on computational knowledge in the biomedical domain. Methods include Artificial Intelligence, clinical decision support systems, knowledge discovery systems, ontologies, knowledge bases and machine learning. Current domains of application include patient care, clinical (functional) genomics and epidemiology. Monthly meetings provide a forum for discussion of current projects, publications and new opportunities for research.

Meetings

Members: All interested faculty and students at Columbia University
Location: Conference Room A, Vanderbilt Clinic, 5th Floor, 622 West 168th Street
Day: To be announced in Spring
Time: To be announced in Spring

Mailing
List

Join the mailing list: go to the majordomo email list manager and enter your email address and list name dmi-nlp
Post a message: send mail to dmi-kt@dmi.columbia.edu

Projects

Name	Description	Purpose	Tools
Vigilens	Health Monitoring System	Decision support system enabling practice guideline monitoring. Examine the ways in which such a system can influence healthcare	Decision Support System, Knowledge Representation (Arden, GLIF), Controlled Vocabulary Mapping (MED and others)
Biosurveillance	Infections Monitoring System	Monitoring outbreaks, Sentinel Cases, Syndromes and Immunization.	Modeling of Ecological and Infectious Disease Propagation, Decision Support System, Knowledge Representation (Arden, GLIF), Controlled Vocabulary Mapping (MED and others), Data Mining, Machine Learning
Rx/Dx	Monitoring Drug-Disease Contraindications using NLP	Improving the quality of medication prescribing and use in older persons via patient record monitoring systems enabled with practice guidelines and medical language understanding	NLP, Decision Support System, Knowledge Representation (Arden, GLIF), Controlled Vocabulary Mapping (ICD-9-CM, MED and others)
Clinigene	Systems Medicine, Biomedical Knowledge Discovery	High throughput knowledge discovery system, using analytics and visualization, deployed over original clinical functional genomics knowledge bases.	Biomedical Databases and Knowledge Bases Ontological Exploration Inference Engines Heterogeneous Databases Queries
M³ The Molecular Medicine Matrix	Intelligent Mediated Schema Between Biological and Medical Databases	leverages mediated schemas, language understanding and ontology to enable the creative integration of otherwise heterogeneous biological and clinical databases	Knowledge Bases, Knowledge Representation, Controlled Vocabulary Mapping NLP Term-based mapping

Tools &
Resources

Unified Medical Language System
National Library of Medicine Indexing Initiative
Medical Entities Dictionary

Links

Yves A. Lussier, Eneida Mendonça
Assistant Professors
Department of Medical Informatics
Columbia University