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  • 标题:Stochastic Modeling for Using an Extended Reliability Growth Model for Survival Outcomes in Black And White Breast Cancer Patients
  • 本地全文:下载
  • 作者:N.Umamaheswari ; K.Bhavanasri
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:5
  • 页码:1103-1106
  • DOI:10.35629/5252-0305953957
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:To evaluate weight change patterns over time following the diagnosis of breast cancer and to examine the association of postdiagnosis weight change and survival outcomes in Black and White Patients. BMI loss is a strong predictor of worse breast cancer outcomes, growing prevalence of obesity may hide diagnosis of cancer cachexia, which can occur in a large proportion of breast cancer patients long before death.The most widely used traditional reliability growth tracking model andreliability growth projection model are both included as International Standard and National Standard models. These traditional models address reliability growth based on failure modes surfaced during the test. This paper presents and Extended Model that addresses this practical situation and allows for primitive corrective actions.
  • 关键词:Breast Cancer;Stress Management;Stress;Body Mass index(BMI);Extended reliability growth model
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