Objective The goal of this study was to systematically summarize and categorize the
syndrome differentiation, medication rules, and acupoint therapy in the domestic traditional …

A steady rise has been observed in the percentage of elderly people who want and are still
able to contribute to society. Therefore, early retirement or exit from the labour market, due to …

Type 2 Diabetes is a fast-growing, chronic metabolic disorder due to imbalanced insulin
activity. As lots of people are suffering from it, access to proper treatment is necessary to …

The ultimate goal of this research paper is to introduce a robust machine learning algorithm
called Impact-Learning, which is being used widely to achieve more advanced results on …

Every year, diabetes causes health difficulties for hundreds of millions of individuals
throughout the world. Patients' medical records may be utilized to quantify symptoms …

Diabetes, a common metabolic disease with serious health effects, is the focus of this
investigation. A unique method to increase predicted accuracy is presented in the study. We …

Diabetes incidence has been a problem, because according with the World Health
Organization and the International Diabetes Federation, the number of people with this …

Abstract Machine learning method gives a learning technique that can be applied to extract
information from data. Lots of researches are being conducted that involves machine …

Regression is a process to estimate the bond among variables. It is a statistical technique
and is used as prediction with the curve fitting in machine learning, data science, economics …

Diabetes is a major threat all over the world. It is rapidly getting worse day by day. It is found
that about 90% of people are affected by type 2 diabetes. Now, in this COVID-19 epidemic …