The field of artificial intelligence to which machine learning belongs. We use methods like K-nearest neighbor(KNN), and Linear regression algorithm detect diagnose illnesses in this work. dataset is trained using supervised learning, Reinforcement order construct a logical mathematical model. In the context models, datasets are employed for purposes such as data analysis illness diagnosis. pur...

The early diagnosis of chronic diseases plays a vital role in the field healthcare communities and biomedical, where it is necessary for detecting disease at an initial phase to reduce death rate. This paper investigates use feature selection, dimensionality reduction classification techniques predict diagnose disease. appropriate selection attributes crucial improving accuracy systems. Additio...

Bananas are part of the horticultural commodity group fruits which widely consumed because their delicious taste and high nutritional content. One problems that exist when cultivating canvendish banana plants is existence disease disorders occur in these plants. To prevent this from happening, knowledge about diseases experienced by based on symptoms experienced. Sources its can be obtained an ...

Horticultural products are from the agricultural sub-sector with potential and prospects for development. consist of medicinal products, fruit, vegetables, ornamental plants. However, some farmers still not optimal in getting results their cultivation because they do understand how to control pests diseases horticultural crops. This causes plant be susceptible various diseases. Identification t...

The successful genetic selection for higher milk production caused a dramatic decline in the reproductive performance of dairy cows all over the world during the last decades. Achievement of optimum herd reproductive performance (calving interval of 12 months or 13 months with the first calf born at 24 months of age) requires concentrated management activities especially during the first 100 da...

Presently, one of the main issues to create challenges in medicine sciences by developing technology is the disease diagnosis with high accuracy. An automatic system is developed that classifies the thyroid nodule images using machine learning algorithms. Ultrasound imaging is the best way to prediction of which type of thyroid is there. Ultrasound thyroid Nodules images were distinguishing in ...

Purpose Macrophage Activation Syndrome (MAS, alternatively known as secondary Hemophagocytic Lymphohistiocytosis (HLH)) is a potentially life-threatening complication of many rheumatologic, infectious, and malignant diseases. It is characterized by the acute onset of disseminated intravascular coagulopathy and multi-system organ dysfunction in the setting of overwhelming inflammation. As a resu...

The RETE algorithm is an efficient well-organized pattern matching algorithm for implementing production rule systems. The present paper focuses on the RETE algorithm to support disjunctive relationships using “or” connectivity and use the shadow proxy mechanism to update objects in the working memory. A Lemon Expert System is developed to identify the diseases of lemon crop to diagnose the dis...

The difficulty to understand, diagnose, and treat neurological disorders stems from the great complexity of the central nervous system on different levels of physiological granularity. The individual components, their interactions, and dynamics involved in brain development and function can be represented as molecular, cellular, or functional networks, where diseases are perturbations of networ...