CrossRef Text and Data Mining
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Applications of Machine Learning Using Electronic Medical Records in Spine Surgery
John T. Schwartz, Michael Gao, Eric A. Geng, Kush S. Mody, Christopher M. Mikhail, Samuel K. Cho
Neurospine. 2019;16(4):643-653.   Published online December 31, 2019
DOI: https://doi.org/10.14245/ns.1938386.193

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Applications of Machine Learning Using Electronic Medical Records in Spine Surgery
Neurospine. 2019;16(4):643-653   Crossref logo
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Data Mining in Spine Surgery: Leveraging Electronic Health Records for Machine Learning and Clinical Research
Neurospine. 2019;16(4):654-656   Crossref logo
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Machine learning in spine surgery: Predictive analytics, imaging applications and next steps
Seminars in Spine Surgery. 2021;33(2):100878   Crossref logo
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Electronic Medical Records and Machine Learning in Approaches to Drug Development
Artificial Intelligence in Oncology Drug Discovery and Development. 2020;   Crossref logo
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Integration of automated predictive analytics into electronic health records: Can spine surgery applications lead the way using SMART on FHIR and CDS Hooks?
Seminars in Spine Surgery. 2021;33(2):100870   Crossref logo
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Machine learning driven tools in orthopaedics and spine surgery: Hype or reality? Applications and perception of 31 physician opinions
Seminars in Spine Surgery. 2021;33(2):100871   Crossref logo
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Securing Electronic Health Records against Insider-Threats: A Supervised Machine Learning Approach
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Securing Electronic Health Records against Insider-Threats: A Supervised Machine Learning Approach
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Data mining of hospital suicidal and self-harm presentation records using a tailored evolutionary algorithm
Machine Learning with Applications. 2021;3:100012   Crossref logo
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Using Deep Learning and Image Recognition to Realize The Electronic Management of Paper Original Records
2021 3rd International Conference on Applied Machine Learning (ICAML). 2021;   Crossref logo
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