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Diabetes is a chronic disease and the major types of diabetes are type 1 and type 2. On aging, people with diabetes tend to have long-term problems in hypertension, coronary artery disease, obesity, and nerves. Given the increasing number of complications in recent years, by 2040, 624 million people will have diabetes worldwide and l in 8 adults will have diabetes in the future. Machine learning (ML) is evolving rapidly, many aspects of medical learning use ML. In this study, tension-type headaches (TTH) were associated with diabetes using SPSS, Pearson correlation, and ANOVA tests. Data were collected from Delhi NCR Hospital. It contains 30 diabetic subjects. The purpose of this study was to correlate diabetes analysis from TTH and other diseases using the latest technologies to analyze the Internet of Things and Big Data and Stress Correlation (TTH) on human health. The authors used Pearson correlation to correlate study variables and see if there was any effect between them. There was an important relationship between the percent variable, the total number of individuals, the number of individuals, and the minimum variable. The age (field) of the number of individuals to one of the total number of individuals showed a strong correlation (1.000) with a significant value of p (1.000). Overall, cases of TTH increased with age in men and do not follow the pattern of change in diabetes with age, but in cases of TTH, patterns of headaches such as diabetes increase to age 60 and then tend to decrease.

Somatoform disorders are often the main cause for seeking professional advice and performing a number of specialist checks. The aim of the study was to determine the frequency of somatoform disorders in the form of headaches in children and adolescents neurologically diagnosed and the risk factors thereof. Analysis of the biological and situational risk factors were established. Somatoform disorders were diagnosed in 27 out of 276 children with headaches. We concluded that in the differential diagnosis of headaches, somato-form headaches should not be omitted as every 10th patient in the developmental age diag nosed on the neurological ward because of headache shows signs of somatoform heada -ches. In diagnostically difficult cases it is recommended that analysis of biological and situational risk factors be performed with special attention paid to chronic disease of the patient and/or in his immediate family, the patient's psychological disorders and dysfunctional or low social status families. The creation of separate criteria for somatoform disorders of the developmental age should be considered.