Early exposure of critical diseases is the main necessity for the patients and a difficult errand
for the oncologist. In the event that it is distinguished early, it makes the patient bound to live …

Diagnosing various diseases in medical field is very difficult even for medical expert. For
solving this problem data mining was introduced. It discovers knowledge from the database …

SOFT COMPUTING techniques play an important role for decision-making applications with
imprecise and uncertain knowledge. The application of fuzzy SOFT COMPUTING …

Cancer was once thought to be a chronic fatal disease, but now it is proven to be a myth.
This is due to rapid advancements in artificial intelligence (AI) techniques used to detect …

Breast cancer is a major public health issue and currently the second leading cause of
cancer death in women. Early detection on whether a tumor is benign or malignant is crucial …

Aim: This study aimed to establish a learning system using an artificial neural network (ANN)
to predict the effects of vitamin D supplementation on the serum levels of vitamin D …

Transfer Learning with Fuzzy for Breast Cancer Page 1 JOURNAL OF INFORMATION SCIENCE
AND ENGINEERING 40, 919-939 (2024) DOI: 10.6688/JISE.202407 40(4).0014 Transfer …

Recent advances in the field of artificial intelligence and machine learning have led to the
emergence of expert systems for medical applications. In this paper a machine learning …

Fuzzy logic has different approaches for enhancing personal health care delivery. Currently,
breast cancer is rated as the second leading cause of death among women. Previous …

Data mining using association rule is widely applied in medicine, particularly in cancer
epidemiology. It is reported that this technique has certain uncertainty. To minimize the …