METHODS OF PREDICTING THE TIME OF PROBABLE EXACERBATIONS AND ATTACKS OF BRONCHIAL ASTHMA IN CHILDREN

Vybornov Yu.D.
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Abstract

The purpose of the research is to determine the periodicity of exacerbations, attacks of bronchial asthma (BA) in children and their prediction. In 1993, 2 computer programs were registered, modified in 2014. Program No. 2014610977 "Determination of the hereditary periodicity of human diseases and prediction of the time of his probable diseases with acute onset". The program's database contains information about the diseases of 2,400 people, including 30 children with BA. Their periodicity of diseases was determined, dominant rhythms (DR) were calculated and digital doubles were identified, in which at least three DRS coincided within 1 day. In some children, DRS have been identified, which are associated with 50% - 70% of the diseases suffered, including seizures and exacerbations of AD. DR was used for computer prediction of the time of prob. In some children, DRS have been identified, which are associated with 50% - 70% of the diseases suffered, including attacks and exacerbations of BA. DR was used for computer prediction of the time of probable exacerbations and attacks of AD with an error of +4 days. Forecasts of up to 45% of probable diseases for a digital double of one of the parents or a doubles who is not related were inferior in accuracy to the first method. The prevailing influence on the time of occurrence of acute infectious diseases, as well as exacerbations and attacks of asthma, is exerted by genetically programmed DR. Random factors (infection, hypothermia, stress, allergens ...), coinciding with the predicted date, provoke the occurrence of pathologies. The purpose of the forecasts is timely prevention, reduction of morbidity and infant mortality. Computer program can be used to determine the periodicity and forecast of earthquakes in different regions of the Earth, hurricanes, sudden changes in the average daily air temperature.
预测儿童支气管哮喘可能加重和发作时间的方法
本研究的目的是确定儿童支气管哮喘(BA)发作的周期性及其预测。1993年注册计算机程序2个,2014年修改。项目(2014610977)“确定人类疾病的遗传周期性和预测其急性发作的可能疾病的时间”。该项目的数据库包含2400人的疾病信息,其中包括30名患有BA的儿童。确定其疾病的周期性,计算优势节律(DR),并确定数字双重,其中至少有三个DRS在1天内重合。在一些儿童中,已确定DRS与50% - 70%的疾病有关,包括癫痫发作和AD加重。DR用于计算机预测探测时间。在一些儿童中,DRS已被确定,其与50% - 70%的疾病有关,包括BA的发作和恶化。DR用于计算机预测AD可能加重和发作的时间,误差为+4天。对于父母一方的数字双胞胎或没有血缘关系的数字双胞胎,高达45%的可能疾病预测的准确性低于第一种方法。对急性传染病的发生时间以及哮喘的恶化和发作的主要影响是由遗传程序控制的博士施加的。随机因素(感染、体温过低、压力、过敏原等)与预测的日期相吻合,引起病理的发生。预测的目的是及时预防,降低发病率和婴儿死亡率。计算机程序可以用来确定周期性和预测地球不同地区的地震、飓风、每日平均气温的突然变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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