A computer aided diagnostic method for the evaluation of type II diabetes mellitus in facial thermograms

U Thirunavukkarasu, S Umapathy… - … Engineering Sciences in …, 2020 - Springer
Almost 50% of individuals around the globe are unaware of diabetes and its complications.
So, an early screening of diabetes is very important at this current situation. To overcome the …

[PDF][PDF] Classification of imbalanced data of diabetes disease using machine learning algorithms

MM Hassan, N Amiri - Age (years), 2019 - researchgate.net
Diabetes is a widely distributed disease in the world. It is a chronic disease characterized by
hyperglycemia. This disease causes various complications and high mortality and morbidity …

Prediction of diabetic peripheral neuropathy (DPN) using plantar pressure analysis and learning models

RRA Corpin, HAR Guingab… - 2019 IEEE 11th …, 2019 - ieeexplore.ieee.org
Diabetes Mellitus is one of the world's most common diseases. A common complication of
this disease is diabetic peripheral neuropathy (DPN), characterized by the loss of sensation …

Machine learning in Python: diabetes prediction using machine learning

A Baranwal, BR Bagwe, M Vanitha - Handbook of Research on …, 2020 - igi-global.com
Diabetes is a disease of the modern world. The modern lifestyle has led to unhealthy eating
habits causing type 2 diabetes. Machine learning has gained a lot of popularity in the recent …

Identifying Significant Gene Interaction Networks Using Machine Learning and Statistical Techniques

V Saranya, R Porkodi - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Nowadays, a massive library of Data Mining techniques has been expanded to undertake a
plenty of problems in fields such as medical imaging, traffic analysis, business …

[PDF][PDF] Patients using Classification Algorithms

S Badugu - 2012 - researchgate.net
Prolonged diabetes patients, without proper control are having higher risk factors for many
diseases. The major problems are heart disease, kidney disease (renal), eye disorder, etc …