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Suranga N. Kasturi
Suranga N. Kasturi
Assistant Professor, IU School of Medicine; Research Scientist, Regenstrief Institute
Verified email at iu.edu - Homepage
Title
Cited by
Cited by
Year
Assessing the capacity of social determinants of health data to augment predictive models identifying patients in need of wraparound social services
SN Kasthurirathne, JR Vest, N Menachemi, PK Halverson, SJ Grannis
Journal of the American Medical Informatics Association 25 (1), 47-53, 2018
762018
Enabling better interoperability for healthcare: lessons in developing a standards based application programing interface for electronic medical record systems
SN Kasthurirathne, B Mamlin, H Kumara, G Grieve, P Biondich
Journal of medical systems 39, 1-8, 2015
742015
Impact of risk stratification on referrals and uptake of wraparound services that address social determinants: a stepped wedged trial
JR Vest, N Menachemi, SJ Grannis, JL Ferrell, SN Kasthurirathne, ...
American journal of preventive medicine 56 (4), e125-e133, 2019
432019
Toward better public health reporting using existing off the shelf approaches: A comparison of alternative cancer detection approaches using plaintext medical data and non …
SN Kasthurirathne, BE Dixon, J Gichoya, H Xu, Y Xia, B Mamlin, ...
Journal of biomedical informatics 60, 145-152, 2016
352016
Evaluating the effect of data standardization and validation on patient matching accuracy
SJ Grannis, H Xu, JR Vest, S Kasthurirathne, N Bo, B Moscovitch, ...
Journal of the American Medical Informatics Association 26 (5), 447-456, 2019
332019
Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network
Q Wang, JM Reps, KF Kostka, PB Ryan, Y Zou, EA Voss, PR Rijnbeek, ...
PLoS One 15 (1), e0226718, 2020
312020
Generalization of machine learning approaches to identify notifiable conditions from a statewide health information exchange
GP Dexter, SJ Grannis, BE Dixon, SN Kasthurirathne
AMIA Summits on Translational Science Proceedings 2020, 152, 2020
312020
Identification of patients in need of advanced care for depression using data extracted from a statewide health information exchange: a machine learning approach
SN Kasthurirathne, PG Biondich, SJ Grannis, S Purkayastha, JR Vest, ...
Journal of medical Internet research 21 (7), e13809, 2019
252019
Toward better public health reporting using existing off the shelf approaches: The value of medical dictionaries in automated cancer detection using plaintext medical data
SN Kasthurirathne, BE Dixon, J Gichoya, H Xu, Y Xia, B Mamlin, ...
Journal of biomedical informatics 69, 160-176, 2017
242017
Towards standardized patient data exchange: integrating a FHIR based API for the open medical record system
SN Kasthurirathne, B Mamlin, G Grieve, P Biondich
IOS, 2015
222015
Using natural language processing to classify social work interventions
AT Bako, HL Taylor, K Wiley Jr, J Zheng, H Walter-McCabe, ...
The American journal of managed care 27 (1), e24, 2021
162021
Overcoming the maternal care crisis: how can lessons learnt in global health informatics address US maternal health outcomes?
SN Kasthurirathne, BW Mamlin, S Purkayastha, T Cullen
AMIA Annual Symposium Proceedings 2017, 1034, 2017
152017
Public health analytics and big data
SN Kasthurirathne, YA Ho, BE Dixon
Public health informatics and information systems, 203-219, 2020
122020
Reasons for social work referrals in an urban safety-net population: a natural language processing and market basket analysis approach
AT Bako, H Walter-McCabe, SN Kasthurirathne, PK Halverson, JR Vest
Journal of Social Service Research 47 (3), 414-425, 2020
112020
Precision health–enabled machine learning to identify need for wraparound social services using patient-and population-level data sets: algorithm development and validation
SN Kasthurirathne, S Grannis, PK Halverson, J Morea, N Menachemi, ...
JMIR Medical Informatics 8 (7), e16129, 2020
112020
Generative Adversarial networks for creating synthetic free-text medical data: a proposal for collaborative research and re-use of machine learning models
SN Kasthurirathne, G Dexter, SJ Grannis
AMIA Summits on Translational Science Proceedings 2021, 335, 2021
92021
Predicting COVID-19–related health care resource utilization across a statewide patient population: Model development study
SN Kasturi, J Park, D Wild, B Khan, DA Haggstrom, S Grannis
Journal of Medical Internet Research 23 (11), e31337, 2021
82021
Evaluating methods for identifying cancer in free-text pathology reports using various machine learning and data preprocessing approaches
SN Kasthurirathne, BE Dixon, SJ Grannis
IOS, 2015
72015
Natural language processing-driven state machines to extract social factors from unstructured clinical documentation
KS Allen, DR Hood, J Cummins, S Kasturi, EA Mendonca, JR Vest
JAMIA open 6 (2), ooad024, 2023
52023
Choice of measurement approach for area-level social determinants of health and risk prediction model performance
JR Vest, SN Kasthurirathne, W Ge, J Gutta, O Ben-Assuli, PK Halverson
Informatics for Health and Social Care 47 (1), 80-91, 2022
42022
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