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Erschienen in: Irish Journal of Medical Science (1971 -) 2/2018

29.07.2017 | Original Article

Accurate and dynamic predictive model for better prediction in medicine and healthcare

verfasst von: H. O. Alanazi, A. H. Abdullah, K. N. Qureshi, A. S. Ismail

Erschienen in: Irish Journal of Medical Science (1971 -) | Ausgabe 2/2018

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Abstract

Introduction

Information and communication technologies (ICTs) have changed the trend into new integrated operations and methods in all fields of life. The health sector has also adopted new technologies to improve the systems and provide better services to customers. Predictive models in health care are also influenced from new technologies to predict the different disease outcomes. However, still, existing predictive models have suffered from some limitations in terms of predictive outcomes performance.

Aims and objectives

In order to improve predictive model performance, this paper proposed a predictive model by classifying the disease predictions into different categories. To achieve this model performance, this paper uses traumatic brain injury (TBI) datasets. TBI is one of the serious diseases worldwide and needs more attention due to its seriousness and serious impacts on human life.

Conclusion

The proposed predictive model improves the predictive performance of TBI. The TBI data set is developed and approved by neurologists to set its features. The experiment results show that the proposed model has achieved significant results including accuracy, sensitivity, and specificity.
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Metadaten
Titel
Accurate and dynamic predictive model for better prediction in medicine and healthcare
verfasst von
H. O. Alanazi
A. H. Abdullah
K. N. Qureshi
A. S. Ismail
Publikationsdatum
29.07.2017
Verlag
Springer London
Erschienen in
Irish Journal of Medical Science (1971 -) / Ausgabe 2/2018
Print ISSN: 0021-1265
Elektronische ISSN: 1863-4362
DOI
https://doi.org/10.1007/s11845-017-1655-3

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