Open AccessTesting the Sensitivity and Specificity of ICU Patients and Diagnose Statistics Hypothetical Errors
Author(s) -
K. Kavitha,
D. Catherine Rexy,
D. Anuradha
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9179.0881019
Subject(s) - type i and type ii errors , statistics , statistical hypothesis testing , measure (data warehouse) , sensitivity (control systems) , medicine , test (biology) , data mining , mathematics , computer science , electronic engineering , engineering , paleontology , biology
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