المؤلفون: Rob Muspratt, Musa Mammadov

المصدر: Data Science and Engineering, Vol 9, Iss 1, Pp 62-72 (2023)

مصطلحات موضوعية: Healthcare provider, Anomaly detection, Outlier thresholds, Sub-extreme values, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2364-1185; https://doaj.org/toc/2364-1541

URL الوصول: https://doaj.org/article/b035a9cdb3a845438934491bebdad776

المؤلفون: Robert, Musa Mammadov

مصطلحات موضوعية: Information and computing sciences, Data management and data science, Machine learning, Anomaly detection, Computer Science, Information Systems, Theory & Methods, Healthcare provider, Outlier thresholds, Science & Technology, Sub-extreme values, Technology

Relation: http://hdl.handle.net/10779/DRO/DU:24791040.v3

الاتاحة: http://hdl.handle.net/10779/DRO/DU:24791040.v3
https://figshare.com/articles/journal_contribution/Anomaly_Detection_with_Sub-Extreme_Values_Health_Provider_Billing/24791040

المؤلفون: R Muspratt, Musa Mammadov

مصطلحات موضوعية: Information and computing sciences, Data management and data science, Machine learning, Science & Technology, Technology, Computer Science, Information Systems, Theory & Methods, Healthcare provider, Anomaly detection, Outlier thresholds, Sub-extreme values, Clinical Research

Relation: 10779/DRO/DU:24791040.v1; https://figshare.com/articles/journal_contribution/Anomaly_Detection_with_Sub-Extreme_Values_Health_Provider_Billing/24791040

الاتاحة: https://figshare.com/articles/journal_contribution/Anomaly_Detection_with_Sub-Extreme_Values_Health_Provider_Billing/24791040