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Outlier Mining in Medical Databases: An Application of …

    https://www.semanticscholar.org/paper/Outlier-Mining-in-Medical-Databases%3A-An-Application-Kumar-Kumar/5a9d7ac04091e9b51f3872dcb7be81a146df6652
    The results of the experiment show that outlier mining i.e. outlier detection & analysis have a great potential to find useful information from health care databases which consequently helps decision makers to automate & quicken the process of decision …

Outlier Mining in Medical Databases: An Application of …

    https://www.researchgate.net/publication/255641898_Outlier_Mining_in_Medical_Databases_An_Application_of_Data_Mining_in_Health_Care_Management_to_Detect_Abnormal_Values_Presented_In_Medical_Databases
    Outliers in medical databases can be caused by measurement errors or may be the result of inherent data variability. The abnormal value of mitoses, for instance, …

Vikash Bhardwaj et al / Detection of Anomaly Outliers in …

    https://www.researchgate.net/publication/365593854_Vikash_Bhardwaj_et_al_Detection_of_Anomaly_Outliers_in_Medical_Database_using_Novel_Data_Mining_Technique
    In this paper, we used two models of outlier detection techniques in which the first model talks about the outlier mining from distinguished applications of data …

(PDF) Identification of Outliers in Medical …

    https://www.researchgate.net/publication/274721695_Identification_of_Outliers_in_Medical_Diagnostic_System_Using_Data_Mining_Techniques
    Outlier detection has been widely applied in medical informatics for addressing different issues, such as detecting …

Identification of Outliers in Medical …

    http://article.sapub.org/10.5923.j.statistics.20140406.01.html
    The proposed outlier detection method for determining complex associations that influence medical outcomes by combining data mining with the patient record merits for …

OUTLIER MINING IN MEDICAL DATABASES BY …

    https://www.researchgate.net/publication/343417158_OUTLIER_MINING_IN_MEDICAL_DATABASES_BY_USING_STATISTICAL_METHODS
    Outliers arise due to mechanical faults, changes in system behaviour, fraudulent behaviour, human error, instrument error or simply through natural deviations …

Application of data mining techniques for outlier mining in …

    https://www.journalcra.com/article/application-data-mining-techniques-outlier-mining-medical-databases
    A total of 193 outliers were detected for the statistics namely leverage, R-standard, R-student, DFFITS, Cook’s D and covariance ratio. The results of the present investigation …

Outlier Mining in Medical Databases: An Application of Data …

    https://1library.net/document/zw80x9lz-outlier-medical-databases-application-management-abnormal-presented-databases.html
    Outlier Mining in Medical Databases: An Application of Data Mining in Health Care Management to Detect Abnormal Values Presented In.. Medical

OUTLIER MINING IN MEDICAL DATABASES BY …

    https://www.academia.edu/1904931/OUTLIER_MINING_IN_MEDICAL_DATABASES_BY_USING_STATISTICAL_METHODS
    OUTLIER MINING IN MEDICAL DATABASES BY USING STATISTICAL METHODS Manjula Sanjay 2012, International Journal of Engineering Science Outlier detection in …

OUTLIER MINING IN MEDICAL DATABASES BY …

    https://www.academia.edu/en/1904931/OUTLIER_MINING_IN_MEDICAL_DATABASES_BY_USING_STATISTICAL_METHODS
    outlier mining in medical databases by using statistical methods (PDF) OUTLIER MINING IN MEDICAL DATABASES BY USING STATISTICAL METHODS | Manjula Sanjay - …



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