A decision support system and task analyses for management of female urinary incontinence
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Abstract (EN)
Stress Urinary Incontinence (SUI) or Urinary incontinence is the unexpected loss and leakage of urine. It's happens when physical and bodily activity or motion, for instance , coughing, sneezing, running or heavy rising which puts stress and pressure on bladder. The main reason of this leakage is that the sphincter muscles are in disorder and disable to control the bladder correctly and it's to open briefly. In this thesis explained and performed the variety of treatments about stress urinary incontinence first with non-surgical treatment and identified steps for surgical treatment such as: Colposuspension, Urethral Slings, Injection therapy Macroplastique and explain all steps in pre-surgery, surgery, and post-surgery procedure. As a result already explained what's the popular and common surgery which is now available and compare the rates of success and frailer between each of the surgery procedure. So as to better investigate the nursing judgments identified with modifications in urinary disposal, built up a choice emotionally supportive network utilizing FCM with the demonstrative characterization of NANDA-I. Based on the NANDA-I version 2018-2020 which shared the definition characteristics for each type of urinary incontinence and Fuzzy Cognitive Map algorithm, created a web-application as a decision support system in order to let the physician and specialist nurses from clinics and hospitals diagnosis and examine patient problems and make them an expert in diagnosis and detecting which type of incontinence they have and choose the right treatment. The decision support systems created exhibited a decent execution analyzed to different kinds of master and expert frameworks for differential finding of adjustments in urinary removal. Already I persuaded importance of putting resources in this type of visualization, from the hypothetical perspectives and with the application of health. Notwithstanding the great outcomes, the FCM ought to be improved to distinguish the analyses of desire urinary incontinence and all out urinary incontinence.
Author
Harem Alı Kheder
How to Cite
Harem Alı Kheder (Master Thesis). A decision support system and task analyses for management of female urinary incontinence, 2020, Fırat University.
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