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An Engineering Module to Identify Potential Diabetes Patients and Preventive Measures for Diabetes in Developing Countries like Bangladesh

机译:一种工程模块,用于识别潜在的糖尿病患者和孟加拉国等发展中国家糖尿病的预防措施

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Diabetes has demonstrated as the main chronic disease and crucial problem in Bangladesh.According to a data of International Diabetes Federation(EDF)Bangladesh is the 10th in terms of diabetes patients in the world and diabetes prevalence in Bangladesh would reach from present 7 to 12 million by 2035 posing a colossal challenge to the health care system.People of all ages are being affected with diabetes,which has become a silent killer.Objective of this study is to develop a module with assistance of doctors and CE/BME which will be used to identify the actual number of diabetes patients and measure the potential risk on health index.The goal of this study is to bring as much people as possible within survey and find the potential diabetic patients together with the peoples who might not have diabetes now but possess the credible risk factors.We will be able to provide preventive information to these populations and motivate and suggest for more care on individual health to avoid diabetes.An optimized software and database is designed for performing several tasks to analyze the patients’data collected from various hospitals’of Bangladesh.The numerical statistic will represent the overall patients’health index for diseases and assessment will allow us to determine the actual patients’number with appropriate threat in categories of diabetes diseases.Findings can confirm both individuals with diabetes and the control group with possible diabetes threat.Proper Diagnosis and treatment then can be assured for these individuals and national precautionary action will accomplish through regulatory control.Future assessment and intervention can be further explored from the perspectives of patients and diabetes information processing which can improve the patients’indexing,safety and health care management in many developing countries.
机译:糖尿病已被证明是孟加拉国的主要慢性疾病和关键问题。根据国际糖尿病联合会(EDF)的数据,孟加拉国是世界上第10个孟加拉国患者的糖尿病患者,孟加拉国的糖尿病患者将达到7至1200万到2035年对医疗保健系统构成了巨大挑战。所有年龄段的人受到糖尿病的影响,这已成为一个沉默的杀手。本研究的目的是在医生和CE / BME的帮助下开发一个模块鉴定糖尿病患者的实际数量,并衡量健康指数的潜在风险。本研究的目标是在调查中携带尽可能多的人,并找到潜在的糖尿病患者与现在可能没有糖尿病的人类,但是拥有的人民可信的风险因素。我们将能够向这些人口提供预防信息并激励并建议更多地关心个体健康,以避免才能ETES.DAN优化的软件和数据库专为执行若干任务来分析来自孟加拉国的各个医院收集的患者。数值统计将代表疾病的总体患者,评估将使我们能够确定实际的患者'具有适当威胁的糖尿病患者的数量。柴草可以确认糖尿病和对照组的糖尿病威胁,然后可以向这些个人提供诊断和治疗,并通过监管控制来确保国家预防行动。可以从患者和糖尿病信息处理的角度进一步探索和干预,这可以改善许多发展中国家的患者的患者,安全和保健管理。

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