My research interests include evaluating and developing novel computational approaches to natural speech and language processing in the medical domain, including text of medical records and language produced by patients during cognitive testing. I study spontaneous speech and language characteristics indicative of effects of medications and neurodegenerative disorders on human cognition, and work on developing natural language processing and machine learning techniques to extract information from text of clinical reports and biomedical literature.
Research Projects:
Open Health Natural Language Processing Collaboratory
Role: Co-Principal Investigator (Liu/Pakhomov/Jiang)
Funding Agency: NIH NCATS U01
Project Dates 09/2017 – 08/2022
This project aims to broaden the secondary use of electronic health records (EHRs) across the research community by combining innovative privacy-preserving computing techniques and clinical natural language processing.
An Informatics Framework for Discovery and Ascertainment of Drug-Supplement Interactions
Role: Co-Investigator
Funding Agency: NIH/NCCIHR01 AT009457 (Zhang)
Project Dates 04/2017 – 03/2021
This project is designed to develop an informatics framework to discover drug-supplement interactions from the biomedical literature with the subsequent ascertainment using electronic health records.
Discovery and Visualization of New Information from Clinical Reports
Role: Co-Investigator
Funding Agency: AHRQ 1 R01 HS022085-01 (Melton-Meaux)
Project Dates: 09/01/2013 – 08/30/2017
This grant develops and evaluates visualization methods by “highlighting” important information from clinical texts, improving user interface design for clinical texts, and conducts a prospective clinical trial with a tool in the EHR to highlight new, non-redundant information in clinical documents.
Natural Language Processing for Clinical and Translational Research
Role: Co-Principal Investigator
Funding Agency: NIH/NIGMS 1 R01 GM102282-01A1 (Liu/Pakhomov/Xu)
Project Dates: 04/01/2013 – 03/31/2017
The overall goal of this project is to develop a novel framework to enable the use of clinical information embedded in clinical narratives for clinical and translational research.
Characterizing and Predicting Drug Effects on Cognition
Role: Co-Investigator
Funding Agency: NIH/NINDS 5 R01 NS076665-02 (Marino)
Project Dates: 09/01/2012 – 08/31/2016
The purpose of this project is to study mechanisms of medications affecting cognitive function through computerized behavioral and neuroimaging assessments.
Leveraging the EHR to Collect and Analyze Social, Behavioral & Familial Factors
Role: Co-Investigator 1 R01 LM011364-01 (Chen/Melton)
Funding Agency: NIH/NLM
Project Dates: 09/01/2012 – 08/31/2016
The overall goal of this project is to develop and evaluate computational methods for generating knowledge regarding the relationships between diseases and social, behavioral, and familial factors.
Automated Semantic Indices for Early Detection of Cognitive Changes
Role: Principal Investigator
Funding Agency: Alzheimer’s Association Private Foundation Grant (Pakhomov)
Project Dates: 08/01/2012 – 07/31/2014
The overall goal of this project is to develop and evaluate computational methods for generating knowledge regarding the relationships between diseases and social, behavioral, and familial factors.
University of Minnesota Clinical and Translational Science Institute (CTSI)
Role: Co-Investigator
Funding Agency: NIH/NCRR 1 U54 RR026066-01A2 (Blazar)
Project Dates: 06/01/2011 – 05/31/2016
The major goals of this infrastructure award are to support clinical and translational research at the University of Minnesota to transform research processes within the institution and community. Dr. Melton is involved with the biomedical informatics portion of the infrastructure. My role on this project is to provide consulting related to Natural Language processing of Electronic health Records.
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