Mehmet Kayaalp

Orcid: 0000-0003-0930-2761

Affiliations:
  • National Institutes of Health, Bethesda, Maryland, USA


According to our database1, Mehmet Kayaalp authored at least 19 papers between 1998 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
A Context-Enhanced De-identification System.
ACM Trans. Comput. Heal., 2022

2020
NLM-Scrubber - a Software Application for Clinical Text De-Identification.
Proceedings of the AMIA 2020, 2020

2015
State of the Art of Clinical Narrative Report De-Identification and Its Future.
Proceedings of the AMIA 2015, 2015

Challenges and Insights in Using HIPAA Privacy Rule for Clinical Text Annotation.
Proceedings of the AMIA 2015, 2015

An Easy-to-Use Clinical Text De-identification Tool for Clinical Scientists: NLM Scrubber.
Proceedings of the AMIA 2015, 2015

2014
The pattern of name tokens in narrative clinical text and a comparison of five systems for redacting them.
J. Am. Medical Informatics Assoc., 2014

Visualization of Patient Prescription History Data in Emergency Care.
Proceedings of the AMIA 2014, 2014

De-identification of Address, Date, and Alphanumeric Identifiers in Narrative Clinical Reports.
Proceedings of the AMIA 2014, 2014

Piloting a Deceased Subject Integrated Data Repository and Protecting Privacy of Relatives.
Proceedings of the AMIA 2014, 2014

2013
A Bayesian Network Scoring Metric That Is Based On Globally Uniform Parameter Priors
CoRR, 2013

2005
Semi-Automatic Indexing of Full Text Biomedical Articles.
Proceedings of the AMIA 2005, 2005

2003
Methods for Accurate Retrieval of MEDLINE Citations in Functional Genomics.
Proceedings of The Twelfth Text REtrieval Conference, 2003

2002
A Bayesian Network Scoring Metic that Is Based on Globally Uniform Parameter Priors.
Proceedings of the UAI '02, 2002

Creating a Software Tool for the Clinical Researcher - the IPS System.
Proceedings of the AMIA 2002, 2002

2001
IPS: A System That Uses Machine Learning to Help Locate Patient Records for Clinical Research.
Proceedings of the AMIA 2001, 2001

Predicting with Variables Constructed from Temporal Sequences.
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001

2000
Predicting ICU mortality: a comparison of stationary and nonstationary temporal models.
Proceedings of the AMIA 2000, 2000

1999
Identifying patient subgroups with simple Bayes'.
Proceedings of the AMIA 1999, 1999

1998
Using computer modeling to help identify patient subgroups in clinical data repositories.
Proceedings of the AMIA 1998, 1998


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