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Erschienen in:
2022 | OriginalPaper | Buchkapitel
Time-to-Event Modelling for Survival and Hazard Analysis of Stroke Clinical Case
verfasst von : Dalia Kriksciuniene, Virgilijus Sakalauskas, Ivana Ognjanovic, Ramo Sendelj
Erschienen in: Business Information Systems Workshops
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Abstract
The problems of “time-to-event’ data analysis explore data of processes with the defined end point of time when an explored event occurs. The methods of survival modelling, hazard analysis, risk evaluation are combined for understanding and exploring these data. In this article the time-to-event modelling addresses in-hospital mortality of stroke patients. The clinical data of stroke cases is explored based on the historical records of neurology department of Clinical Centre in Montenegro. The main aim of the research is to explore survival techniques for getting insights from the stroke clinical data with the goal of identifying impact of the variables for the predictive research. The time-to-event data does not follow the normal distribution, thus limiting application of major methods of analysis. In the article the survival analysis techniques such as Life table, Kaplan–Meier survival plot and the Cox proportional hazards regression model are applied for exploring stroke data.