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[HTML][HTML] Exploring the plant-derived bioactive substances as antidiabetic agent: an extensive review
Diabetes mellitus (DM) is a metabolic syndrome. Diabetes has become more common in
recent years. Chemically generated drugs are used to lessen the effects of DM and its …
recent years. Chemically generated drugs are used to lessen the effects of DM and its …
Detection and prediction of diabetes using data mining: a comprehensive review
Diabetes is one of the most rapidly growing chronic diseases, which has affected millions of
people around the globe. Its diagnosis, prediction, proper cure, and management are …
people around the globe. Its diagnosis, prediction, proper cure, and management are …
Maize leaf disease detection and classification using machine learning algorithms
Plant diseases are the major cause of low agricultural productivity. Mostly the farmers
encounter difficulties in controlling and detecting the plant diseases. Thus, early detection of …
encounter difficulties in controlling and detecting the plant diseases. Thus, early detection of …
Dataset and feature analysis for diabetes mellitus classification using random forest
: Diabetes Mellitus is a hazardous disease, and according to the World Health Organization
(WHO), diabetes will be one of the main causes of death by 2030. One of the most popular …
(WHO), diabetes will be one of the main causes of death by 2030. One of the most popular …
Performance evaluation of different machine learning methods and deep-learning based convolutional neural network for health decision making
Now-a-days modern technology is used for health management and diagnostic strategy in
the health sector. Machine learning usually helps in decision making for health issues using …
the health sector. Machine learning usually helps in decision making for health issues using …
Blockchain in healthcare: Challenges and solutions
The main challenge in distributing electronic health records (EHRs) for patient-centered
research, market analysis, medicine investigation, healthcare data mining etc., is data …
research, market analysis, medicine investigation, healthcare data mining etc., is data …
A cnn approach for corn leaves disease detection to support digital agricultural system
Correct, fast and early detection of corn leave diseases and their prevention and control at
the earlier stages is profitable. To improve the detection accuracy of corn leaf diseases, a …
the earlier stages is profitable. To improve the detection accuracy of corn leaf diseases, a …
[HTML][HTML] A Jaya algorithm based wrapper method for optimal feature selection in supervised classification
In recent years, Jaya optimization algorithm has been successfully applied in several
optimization problems. This paper presents a novel feature selection (FS) approach based …
optimization problems. This paper presents a novel feature selection (FS) approach based …
Applying data mining techniques to classify patients with suspected hepatitis C virus infection
Background Hepatitis C virus (HCV) has a high prevalence worldwide, and the progression
of the disease can cause irreversible damage to severe liver damage or even death …
of the disease can cause irreversible damage to severe liver damage or even death …
[HTML][HTML] Medical disease analysis using neuro-fuzzy with feature extraction model for classification
Medical disease classification using machine learning algorithms is a challenging task due
to the nature of data, which can contain incomplete, uncertain, and imprecise information …
to the nature of data, which can contain incomplete, uncertain, and imprecise information …