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The Indiana Public Health Emergency Surveillance System: Ongoing Progress, Early Findings, and Future Directions.

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Evaluating the effect of data standardization and validation on patient matching accuracy., , , , , , , and . J. Am. Medical Informatics Assoc., 26 (5): 447-456 (2019)Leveraging data visualization and a statewide health information exchange to support COVID-19 surveillance and response: Application of public health informatics., , , , , , , , and . J. Am. Medical Informatics Assoc., 28 (7): 1363-1373 (2021)A framework for a consistent and reproducible evaluation of manual review for patient matching algorithms., , , , , , and . J. Am. Medical Informatics Assoc., 29 (12): 2105-2109 (2022)Using structured and unstructured data to identify patients' need for services that address the social determinants of health., , , , and . Int. J. Medical Informatics, (2017)Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques., , , , , , and . IEEE Computer Graphics and Applications, 29 (3): 18-28 (2009)The long road to semantic interoperability in support of public health: Experiences from two states., , and . J. Biomed. Informatics, (2014)An Adversorial Approach to Enable Re-Use of Machine Learning Models and Collaborative Research Efforts Using Synthetic Unstructured Free-Text Medical Data., , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 1510-1511. IOS Press, (2019)Evaluating Methods for Identifying Cancer in Free-Text Pathology Reports Using Various Machine Learning and Data Preprocessing Approaches., , and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 1070. IOS Press, (2015)Modeling heart procedures from EHRs: An application of exponential families., , , , and . BIBM, page 491-497. IEEE Computer Society, (2017)Novel Application of Data Quality Metrics to Tailor Standardization of Patient Matching Fields., , , , , , and . AMIA, AMIA, (2020)