For the diagnosis of diseases, modern medicine usually searches for diseases in the disease database to find the type of disease that matches them. The diagnosis of diseases is the first step in treatment. Then the classification of diseases is the basis of disease diagnosis. Disease classification plays an extremely important role in the scientific management of medical records and the development of modern medicine, and is a bridge connecting modern medical science. Therefore, the classification of diseases is very necessary. Based on this, this article establishes a K-means model for disease diagnosis, and combines the internationally unified disease type code ICD statistics table to classify the sample data set into infectious and paras...
Chronic Kidney Disease (CKD) is one of the leading cause of death contributed by other illnesses suc...
Knowledge discovery in databases has built up its prosperity rate in different noticeable fields, fo...
In this paper, it is a way to predict the disease of patients using machine learning approach. peopl...
Abstract(#br)As Noncommunicable Diseases (NCDs) are affected or controlled by diverse factors such a...
The population of India is growing day by day, with the growing rate of population rate of disease i...
Computer-aided diagnosis (CAD), a vibrant medical imaging research field, is expanding quickly. Beca...
Globally, there is a substantial unmet need to diagnose various diseases effectively. The complexity...
In this research, we reviewed and classified academic conference and journal papers;which used data ...
In the process of grouping the types of skin diseases, doctors and hospital staff encountered variou...
In this era, the moment has arrived to move away from disease as the primary emphasis of medical tre...
Decision making in case of medical diagnosis is a complicated process. A large number of overlapping...
Introduction: In the information age, data are the most important asset for health organizations. In...
diebetise detection we are using a detection technique using an algorithm based on k map technique t...
As a chronic disease, diabetes mellitus has emerged as a worldwide epidemic. Providing diagnostic ai...
This study aims to determine the classification of disease models based on the data stack of medical...
Chronic Kidney Disease (CKD) is one of the leading cause of death contributed by other illnesses suc...
Knowledge discovery in databases has built up its prosperity rate in different noticeable fields, fo...
In this paper, it is a way to predict the disease of patients using machine learning approach. peopl...
Abstract(#br)As Noncommunicable Diseases (NCDs) are affected or controlled by diverse factors such a...
The population of India is growing day by day, with the growing rate of population rate of disease i...
Computer-aided diagnosis (CAD), a vibrant medical imaging research field, is expanding quickly. Beca...
Globally, there is a substantial unmet need to diagnose various diseases effectively. The complexity...
In this research, we reviewed and classified academic conference and journal papers;which used data ...
In the process of grouping the types of skin diseases, doctors and hospital staff encountered variou...
In this era, the moment has arrived to move away from disease as the primary emphasis of medical tre...
Decision making in case of medical diagnosis is a complicated process. A large number of overlapping...
Introduction: In the information age, data are the most important asset for health organizations. In...
diebetise detection we are using a detection technique using an algorithm based on k map technique t...
As a chronic disease, diabetes mellitus has emerged as a worldwide epidemic. Providing diagnostic ai...
This study aims to determine the classification of disease models based on the data stack of medical...
Chronic Kidney Disease (CKD) is one of the leading cause of death contributed by other illnesses suc...
Knowledge discovery in databases has built up its prosperity rate in different noticeable fields, fo...
In this paper, it is a way to predict the disease of patients using machine learning approach. peopl...