Department of Information sciences and Technology, Yanshan University, Qinhuangdao 066000, China.
State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, Qinhuangdao 066004, China.
Int J Environ Res Public Health. 2019 Oct 24;16(21):4089. doi: 10.3390/ijerph16214089.
An accurate classification for diabetes mellitus (DBM) allows for the adequate treatment and handling of its menace, particularly in developing countries like Nigeria. This study proposes data mining techniques for the classification and identification of the prevalence of diagnosed diabetes cases, stratified by age, gender, diabetic conditions and residential area in the northwestern states of Nigeria, based on the real-life data derived from government-owned hospitals in the region. A K-mean assessment was used to cluster the instances, after 12 iterations the instances classified out of 3022: 2662 (88.09%) non-insulin dependent (NID), 176 (5.82%) insulin-dependent (IND) and 184 (6.09%) gestational diabetes (GTD). The total number of diagnosed diabetes cases was 3022: 1380 males (45.66%) and 1642 females (54.33%). The higher prevalence was found to be in females compared to males, and in cities and towns, rather than in villages (36.5%, 34.2%, and 29.3%, respectively). The highest prevalence among the age groups was in the age group 50-69 years, which constituted 43.9% of the total diagnosed cases. Furthermore, the NID condition had the highest prevalence of cases (88.09%). These were the first findings of the stratified prevalence in the region, and the figures have been of utmost significance to the healthcare authorities, policymakers, clinicians, and non-governmental organizations for the proper planning and management of diabetes mellitus.
对糖尿病（DM）进行准确分类可以为其提供适当的治疗和处理，特别是在像尼日利亚这样的发展中国家。本研究提出了数据挖掘技术，用于对尼日利亚西北部州根据政府所有医院的实际数据得出的按年龄、性别、糖尿病状况和居住地区分层的诊断糖尿病病例的流行情况进行分类和识别。使用 K-均值评估对实例进行聚类，经过 12 次迭代，从 3022 个实例中分类出：2662 例（88.09%）非胰岛素依赖型（NID），176 例（5.82%）胰岛素依赖型（IND）和 184 例（6.09%）妊娠期糖尿病（GTD）。诊断出的糖尿病病例总数为 3022 例：男性 1380 例（45.66%），女性 1642 例（54.33%）。与男性相比，女性的患病率更高，城镇的患病率高于农村（分别为 36.5%、34.2%和 29.3%）。在年龄组中，50-69 岁年龄组的患病率最高，占总诊断病例的 43.9%。此外，NID 状况的病例患病率最高（88.09%）。这些是该地区分层患病率的首次发现，这些数据对医疗保健当局、政策制定者、临床医生和非政府组织在适当规划和管理糖尿病方面具有至关重要的意义。
