[PDF][PDF] A modified mayfly-SVM approach for early detection of type 2 diabetes mellitus

R Patil, S Tamane, SA Rawandale… - Int. J. Electr. Comput. Eng, 2022 - academia.edu
Diabetes mellitus is a chronic disease that affects many people in the world badly. Early
diagnosis of this disease is of paramount importance as physicians and patients can work …

[PDF][PDF] An efficient stacking based NSGA-II approach for predicting type 2 diabetes

RN Patil, S Rawandale, N Rawandale… - Int. J. Electr. Comput …, 2023 - academia.edu
Diabetes has been acknowledged as a well-known risk factor for renal and cardiovascular
disorders, cardiac stroke and leads to a lot of morbidity in the society. Reducing the disease …

Early Prediction of Diabetes Using Feature Selection and Machine Learning Algorithms

J Abdollahi, S Aref - SN Computer Science, 2024 - Springer
Diabetes has become one of the most common diseases in middle-and low-income
countries. Machine learning (ML) and data mining techniques have recently been used to …

Non-invasive diagnosis of diabetes using chaotic features and genetic learning

SS Reddy, N Sethi, R Rajender… - … Conference on Image …, 2022 - Springer
Abstract Diagnosis of Diabetes Mellitus (DM) involves an invasive procedure. A pinch of
blood sample is extracted by piercing a small needle into the body. This blood sample is fed …

Feasibility of hybrid pso-ann model for identifying soybean diseases

M Ji, P Liu, Q Wu - International Journal of Cognitive Informatics and …, 2021 - igi-global.com
Soybean disease has become one of vital factors restricting the sustainable development of
high-yield and high-quality soybean industry. A hybrid artificial neural network (ANN) model …

Color Preservation of Lymphoblastic Cells Using Statistical Region Merging

A Khan, D Gautam, D Jhanwar… - … in Computer Science …, 2024 - ieeexplore.ieee.org
Cancer is named based on the organ or cell type where it originates, such as Colon
Melanoma or skin melanoma. Lymphoma, a prevalent cancer in India, is characterized by …