TELKOMNIKA Telecommunication Computing Electronics and Control
Design AI platform using fuzzy logic technique to diagnose kidney diseases
Dublin Core
Title
TELKOMNIKA Telecommunication Computing Electronics and Control
Design AI platform using fuzzy logic technique to diagnose kidney diseases
Design AI platform using fuzzy logic technique to diagnose kidney diseases
Subject
Artificial intelligence
Electronic-Doctor
Fuzzy logic system
Healthcare
Kidney diseases
Electronic-Doctor
Fuzzy logic system
Healthcare
Kidney diseases
Description
Artificial intelligence (AI) is an advanced scientific technology that can
provide strong ability to assist in analysis and diagnosis of almost every type
of data, therefore; AI widely used in medical fields, which is applied in the
diagnosis and early detection of diseases. Kidney disease is one of the
common diseases that are diagnosed and the necessary treatments are
suggested by artificial intelligence. In this research, a logic system was used.
The fuzzy logic system (FLS) is one of the artificial intelligence systems for
diagnosing kidney diseases, where the fuzzy logic system divided into five
variable inputs, namely urea, creatinine, glucose, bun, and uric acid, and
they represented laboratory tests of the patients, this variables and also three
outputs were identified, which are chronic inflammation and kidney failure,
stones and salts, acute inflammation of the kidneys and bladder, which is the
result of the medical diagnosis of the disease. Five memberships for inputs
and three memberships for outputs are used in FLS. Diseases are concluded
based on the values of the inputs, and thus the system proved its
effectiveness and accuracy in diagnosis and this system is considered an aid
to the specialized doctors in the field of kidney diseases.
provide strong ability to assist in analysis and diagnosis of almost every type
of data, therefore; AI widely used in medical fields, which is applied in the
diagnosis and early detection of diseases. Kidney disease is one of the
common diseases that are diagnosed and the necessary treatments are
suggested by artificial intelligence. In this research, a logic system was used.
The fuzzy logic system (FLS) is one of the artificial intelligence systems for
diagnosing kidney diseases, where the fuzzy logic system divided into five
variable inputs, namely urea, creatinine, glucose, bun, and uric acid, and
they represented laboratory tests of the patients, this variables and also three
outputs were identified, which are chronic inflammation and kidney failure,
stones and salts, acute inflammation of the kidneys and bladder, which is the
result of the medical diagnosis of the disease. Five memberships for inputs
and three memberships for outputs are used in FLS. Diseases are concluded
based on the values of the inputs, and thus the system proved its
effectiveness and accuracy in diagnosis and this system is considered an aid
to the specialized doctors in the field of kidney diseases.
Creator
Haider M. Al-Mashhadi, Abdulhusein Latef Khudhair
Source
http://telkomnika.uad.ac.id
Date
24, 2023
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Haider M. Al-Mashhadi, Abdulhusein Latef Khudhair, “TELKOMNIKA Telecommunication Computing Electronics and Control
Design AI platform using fuzzy logic technique to diagnose kidney diseases,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/4491.
Design AI platform using fuzzy logic technique to diagnose kidney diseases,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/4491.