The Module for Predicting Complications after Bone Marrow Transplantation in Children with Leukemia

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Titel: The Module for Predicting Complications after Bone Marrow Transplantation in Children with Leukemia
Autoren: S. V. Nikiforov, B. I. Smirnov
Quelle: Известия высших учебных заведений России: Радиоэлектроника, Vol 0, Iss 1, Pp 74-79 (2017)
Verlagsinformationen: Saint Petersburg Electrotechnical University "LETI", 2017.
Publikationsjahr: 2017
Bestand: LCC:Electronics
Schlagwörter: roc-анализ, bone marrow transplantation, complications prediction, logistic regression, roc-analysis, sensitivity, specificity, true forecast, false forecast, odds ratio, risk ratio, confidence interval, program module, Electronics, TK7800-8360
Beschreibung: The paper presents the program module that estimates the probability of complications after the bone marrow transplantation. The shown approach is based on a logistic regression. The medical database containing the records of 155 patients aged from 5 to 21 is used. The program module contains a detailed graphical representation of the results in the form of a ROC curve, the calculated values of true and false predictions as well as likelihood ratio of the obtained values. The areas of reliable and unreliable predictions as well as the area where predictions are impossible are highlighted on the chart.
Publikationsart: article
Dateibeschreibung: electronic resource
Sprache: Russian
ISSN: 1993-8985
2658-4794
Relation: https://re.eltech.ru/jour/article/view/158; https://doaj.org/toc/1993-8985; https://doaj.org/toc/2658-4794
Zugangs-URL: https://doaj.org/article/3a86fa14a8fe4e2a97deb6992c8889fa
Dokumentencode: edsdoj.3a86fa14a8fe4e2a97deb6992c8889fa
Datenbank: Directory of Open Access Journals
Beschreibung
Abstract:The paper presents the program module that estimates the probability of complications after the bone marrow transplantation. The shown approach is based on a logistic regression. The medical database containing the records of 155 patients aged from 5 to 21 is used. The program module contains a detailed graphical representation of the results in the form of a ROC curve, the calculated values of true and false predictions as well as likelihood ratio of the obtained values. The areas of reliable and unreliable predictions as well as the area where predictions are impossible are highlighted on the chart.
ISSN:19938985
26584794