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SURVIVAL BAYESIAN ANALYSIS OF CERVICAL CANCER PATIENTS.

Authors: Rina Wijayanti, Rachmawati and Era Dewi Kartika.;

SURVIVAL BAYESIAN ANALYSIS OF CERVICAL CANCER PATIENTS.

Abstract

Cancer is an abnormal growth of a cell or tissue in which the cell or tissue grows and develops out of control, the speed of growth is excessive, and is often accompanied by changes in the fight cells that eventually disrupt other organs. Cervical cancer is cancer that grows and develops in the cervix or cervix, mainly originating from the epithelial layer or the outer layer of the cervical surface. Based on medical record data in RSSA Malang, there are 1487 inpatient / medical treatments for cervical cancer patients during 2017. The high number of people with cervical cancer in Malang is the background of researchers researching this city. This study analyzed the survival of cervical cancer patients in Malang with Survival Bayesian Analysis. The results of this study found significant variables, namely, stage, age, and anemia status. The standard error of the 0.0913 age variable is that for anemia status the standard error of 0.0869 is obtained.

Keywords

Survival Bayesian Cancer patients Mathematics.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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