Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The analysis intended to evaluate urogenital and defecatory signs, and life conditions ahead of and following a sacrospinous Colpopexy/hysteropexy for uterovaginal prolapse. To prevent recurrence of uterine prolapse and to maintain adequate vaginal length, a new surgical procedure Sacro-spinous Colpopexy was introduced in Rajshahi, Bangladesh. Fifty-two women with indicative uterovaginal prolapse were cured using sacrospinous Colpopexy/ hysteropexy. Ahead of and following surgery, urogenital and defecatory signs and life conditions were evaluated with a authenticated question form. Data were obtained using a Standardized questionnaires forms which were completed by the patients. Questionnaires were about their basic demographic information, complaint history, patient obstetric history, gynecological history, patient examination history, patient operations performed, and patient postoperations follow-up. Anatomical results were evaluated by examining the pelvic ahead of and following surgery. The average return sequel timing was 6 months. Grades of all areas of urogenital and defecatory signs, fecal incontinency and pain improved substantially. Additionally, on all areas there is betterment of life and no main difficulties were confronted.
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Munima Haque. 2020. “. Global Journal of Medical Research - E: Gynecology & Obstetrics GJMR-E Volume 20 (GJMR Volume 20 Issue E7): .
Crossref Journal DOI 10.17406/gjmra
Print ISSN 0975-5888
e-ISSN 2249-4618
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 102
Country: Bangladesh
Subject: Global Journal of Medical Research - E: Gynecology & Obstetrics
Authors: Munima Haque, Monira Najnin (PhD/Dr. count: 0)
View Count (all-time): 117
Total Views (Real + Logic): 2114
Total Downloads (simulated): 1110
Publish Date: 2020 10, Tue
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