New Diagnosis Test under the Neutrosophic Statistics: An Application to Diabetic Patients
Joint Authors
Aslam, Muhammad
Arif, Osama H.
Sherwani, Rehan Ahmad Khan
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-22
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The diagnosis tests (DT) under classical statistics are applied under the assumption that all observations in the data are determined.
Therefore, these DT cannot be applied for the analysis of the data when some or all observations are not determined.
The neutrosophic statistics (NS) which is the extension of classical statistics can be applied for the data having uncertain, unclear, and fuzzy observations.
In this paper, we will present the DT, and gold-standard tests under NS are called neutrosophic diagnosis tests (NDT).
Therefore, the proposed NDT is the generalization of the existing DT and can be applied under the uncertainty environment.
We will present the NDT table and present a real example from the medical field.
The use of the proposed method will be more effective and adequate to be used in medical science, biostatistics, decision, and classification analysis.
American Psychological Association (APA)
Aslam, Muhammad& Arif, Osama H.& Sherwani, Rehan Ahmad Khan. 2020. New Diagnosis Test under the Neutrosophic Statistics: An Application to Diabetic Patients. BioMed Research International،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1132305
Modern Language Association (MLA)
Aslam, Muhammad…[et al.]. New Diagnosis Test under the Neutrosophic Statistics: An Application to Diabetic Patients. BioMed Research International No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1132305
American Medical Association (AMA)
Aslam, Muhammad& Arif, Osama H.& Sherwani, Rehan Ahmad Khan. New Diagnosis Test under the Neutrosophic Statistics: An Application to Diabetic Patients. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1132305
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132305