Testing the Sensitivity and Specificity of ICU Patients and Diagnose Statistics Hypothetical Errors
K. Kavitha1, D. Catherine Rexy2, D. Anuradha3
1K.Kavitha, Department of Mathematics, School of Advanced Sciences, VIT, Vellore.
2D. Catherine Rexy, Department of Mathematics, School of Advanced Sciences, VIT, Vellore.
3D. Anuradha, Department of Mathematics, School of Advanced Sciences, VIT, Vellore.
Manuscript received on 02 July 2019 | Revised Manuscript received on 07 July 2019 | Manuscript published on 30 August 2019 | PP: 1042-1045 | Volume-8 Issue-10, August 2019 | Retrieval Number: J91790881019/2019©BEIESP | DOI: 10.35940/ijitee.J9179.0881019
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Abstract: Statistical performance especially for certain information based on data analyse and incorporate clinical trial incomplete observation. The handling statistical hypothesis measure to regulate, type one error and type two errors is related to the assessment of sensitivity and specificity in clinical trial test and experimental data. A theoretical concept is considered two types of errors has been made and measure to find out of False positive, False Negative, True Positive and True Negative. The study presumed to analyse the ICU patient’s condition based on who have admitted in elective or emergency. We are conclude that there is association between types of admission and patient’s status.
Keywords: Sensitivity, specificity, Type I and Type II error, chi-square Test, ICU Patients.
Scope of the Article: Nondestructive Testing and Evaluation