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Suranga Nath Kasthurirathne
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Journal Articles
- 2022
- [j10]Shaun J. Grannis
, Jennifer L. Williams, Suranga Nath Kasthurirathne, Molly Murray, Huiping Xu:
Evaluation of real-world referential and probabilistic patient matching to advance patient identification strategy. J. Am. Medical Informatics Assoc. 29(8): 1409-1415 (2022) - [j9]Agrayan K. Gupta
, Suranga Nath Kasthurirathne, Huiping Xu, Xiaochun Li
, Matthew M. Ruppert, Christopher A. Harle
, Shaun J. Grannis
:
A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms. J. Am. Medical Informatics Assoc. 29(12): 2105-2109 (2022) - 2019
- [j8]Shaun J. Grannis
, Huiping Xu, Joshua R. Vest, Suranga Nath Kasthurirathne, Na Bo, Ben Moscovitch, Rita Torkzadeh, Josh Rising:
Evaluating the effect of data standardization and validation on patient matching accuracy. J. Am. Medical Informatics Assoc. 26(5): 447-456 (2019) - 2018
- [j7]Suranga Nath Kasthurirathne, Joshua R. Vest, Nir Menachemi, Paul K. Halverson, Shaun J. Grannis
:
Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services. J. Am. Medical Informatics Assoc. 25(1): 47-53 (2018) - [j6]Suranga Nath Kasthurirathne, Joshua R. Vest, Nir Menachemi, Paul K. Halverson, Shaun J. Grannis
:
Response to letter to the Editor on "Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services". J. Am. Medical Informatics Assoc. 25(8): 1108 (2018) - 2017
- [j5]Suranga Nath Kasthurirathne, Brian E. Dixon
, Judy Gichoya
, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis
:
Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data. J. Biomed. Informatics 69: 160-176 (2017) - 2016
- [j4]Suranga Nath Kasthurirathne, Brian E. Dixon
, Judy Gichoya
, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis
:
Toward better public health reporting using existing off the shelf approaches: A comparison of alternative cancer detection approaches using plaintext medical data and non-dictionary based feature selection. J. Biomed. Informatics 60: 145-152 (2016) - 2015
- [j3]Suranga Nath Kasthurirathne, Burke W. Mamlin, Harsha Kumara, Grahame Grieve, Paul G. Biondich:
Enabling Better Interoperability for HealthCare: Lessons in Developing a Standards Based Application Programing Interface for Electronic Medical Record Systems. J. Medical Syst. 39(11): 182 (2015) - 2014
- [j2]Suranga Nath Kasthurirathne:
The Regenstrief global health informatics group: Indianapolis, Indiana. XRDS 21(2): 56-57 (2014) - 2012
- [j1]Suranga Nath Kasthurirathne:
Designing and developing an open source medical informatics module. XRDS 19(2): 20-23 (2012)
Conference and Workshop Papers
- 2021
- [c14]Katie Allen, Daniel Hood, Jonathan Cummins, Suranga Nath Kasthurirathne, Peter J. Embí, Joshua R. Vest:
Extracting Social Variables from Clinical Documentation to Better Facilitate Response to Patient Need. AMIA 2021 - [c13]Shaun J. Grannis, Abel N. Kho, Jasmin Phua, Suranga Nath Kasthurirathne:
Evaluation of Token Collections and Matching Models to Support Privacy-Preserving Record Linkage (PPRL). AMIA 2021 - 2020
- [c12]Shaun J. Grannis, Xiaochun Li, Huiping Xu, Toan C. Ong, Michael G. Kahn, Lauren R. Lembcke, Suranga Nath Kasthurirathne:
Novel Application of Data Quality Metrics to Tailor Standardization of Patient Matching Fields. AMIA 2020 - 2019
- [c11]Gregory-Paul Dexter, Shaun J. Grannis, Suranga Nath Kasthurirathne:
Comparison of Free-Text Synthetic Data Produced by Three Generative Adversarial Networks for Collaborative Health Data Analytics. AMIA 2019 - [c10]Suranga Nath Kasthurirathne, Gregory Dexter, Shaun J. Grannis
:
An Adversorial Approach to Enable Re-Use of Machine Learning Models and Collaborative Research Efforts Using Synthetic Unstructured Free-Text Medical Data. MedInfo 2019: 1510-1511 - 2017
- [c9]Suranga Nath Kasthurirathne, Burke W. Mamlin, Saptarshi Purkayastha, Theresa Cullen:
Overcoming the Maternal Care Crisis: How Can Lessons Learnt in Global Health Informatics Address US Maternal Health Outcomes? AMIA 2017 - [c8]Matthias Kochmann, Jiachen Wang, Brian E. Dixon, Suranga Nath Kasthurirathne, Shaun J. Grannis:
Evaluation of Text Mining Methods to Support Reporting Public Health Notifiable Diseases Using Real-World Clinical Data. AMIA 2017 - [c7]Suranga Nath Kasthurirathne, Paul G. Biondich, Burke W. Mamlin, Theresa A. Cullen, Shaun J. Grannis:
An Incremental Adoption Pathway for Developing Precision Medicine Based Healthcare Infrastructure for Underserved Settings. MedInfo 2017: 442-446 - [c6]Theresa A. Cullen, Suranga Nath Kasthurirathne, Jenna M. Norton, Andrew S. Narva:
Personalizing Longitudinal Care Coordination for Patients with Chronic Kidney Disease. MedInfo 2017: 1354 - 2016
- [c5]Josette F. Jones, Huanmei Wu, Jay S. Patel, Suranga Nath Kasthurirathne, Sunanda Mukherjee:
An Evaluation of Activity Trackers for Monitoring Parkinson's Disease Patient Outcomes. AMIA 2016 - 2015
- [c4]Suranga Nath Kasthurirathne, Harsha Kumara, Burke W. Mamlin, Paul G. Biondich:
OpenMRS and FHIR: The Promise of a Domain Independent API for serving Healthcare Needs Across Underserved Settings. AMIA 2015 - [c3]Uzay Kirbiyik, Patrick Lai, Brian E. Dixon, Shaun J. Grannis, Suranga Nath Kasthurirathne:
Evaluating the Accuracy of Automated Notifiable Condition Detection in Free-Text Electronic Laboratory Report Results Using Contemporary Text Mining and Machine Learning Methods. AMIA 2015 - [c2]Suranga Nath Kasthurirathne, Burke W. Mamlin, Grahame Grieve, Paul G. Biondich:
Towards Standardized Patient Data Exchange: Integrating a FHIR Based API for the Open Medical Record System. MedInfo 2015: 932 - [c1]Suranga Nath Kasthurirathne, Brian E. Dixon
, Shaun J. Grannis:
Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches. MedInfo 2015: 1070
Coauthor Index
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