Neural network procedures for the cholera disease system with public health mediations.

IF 7 2区 医学 Q1 BIOLOGY
Computers in biology and medicine Pub Date : 2025-01-01 Epub Date: 2024-11-30 DOI:10.1016/j.compbiomed.2024.109471
Mohammad F Alharbi
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引用次数: 0

Abstract

Severe gastrointestinal infections and watery diseases like cholera are still a major worldwide medical concern in the developing nations. A mathematical system contains some necessary dynamics based on the cholera spread to investigate the influence of public health education movements along with treatment and vaccination as control policies in restraining the infection. The cholera disease system with public health mediations divide the density of human population into seven categories based on the status of diseases, who are susceptible, educated, vaccinated, quarantined, infected, treated and removed individuals along with the aquatic bacteria population. The motive of current research is to present the numerical performances of the cholera disease system with public health mediations by using a stochastic computing process based on the Bayesian regularization neural network. A data is constructed by using a conventional Adam scheme that reduces the mean square error by distributing the data into training, validation and testing with some reasonable percentages. Twenty-five neurons, and sigmoid fitness function are used in the stochastic process to solve the model. The accuracy is justified by using comparison of the results, absolute error around 10-06 to 10-08 and some statistical operator performances.

霍乱疾病系统与公共卫生调解的神经网络程序。
严重的胃肠道感染和霍乱等水样疾病仍然是发展中国家主要的世界性医疗问题。一个数学系统包含一些基于霍乱传播的必要动态,以调查公共卫生教育运动以及治疗和疫苗接种作为控制政策对抑制感染的影响。公共卫生媒介的霍乱疾病系统根据疾病状况将人群密度分为易感人群、教育人群、接种人群、隔离人群、感染人群、治疗人群和移出人群等7类。本研究的目的是利用基于贝叶斯正则化神经网络的随机计算过程来描述有公共卫生介质的霍乱疾病系统的数值性能。使用传统的Adam方案来构建数据,该方案通过将数据以合理的百分比分布到训练、验证和测试中来减少均方误差。在随机过程中使用25个神经元和s型适应度函数来求解模型。通过比较结果、10-06和10-08之间的绝对误差以及一些统计算子的性能,证明了该方法的准确性。
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来源期刊
Computers in biology and medicine
Computers in biology and medicine 工程技术-工程:生物医学
CiteScore
11.70
自引率
10.40%
发文量
1086
审稿时长
74 days
期刊介绍: Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.
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