Estimating Risk Levels for Blood Pressure and Thyroid Hormone Using Artificial Intelligence Methods

Authors

Abstract

In this work, artificial intelligence methods are
designed and adopted for evaluating various risk levels of thyroid
hormone and blood pressure in humans. Fuzzy Logic (FL)
method is firstly exploited to provide the risk levels. Additionally,
a machine learning was proposed using the Adaptive NeuronFuzzy Inference System (ANFIS) to learn and assess the risk
levels by fusing a multiple-layer Neural Network (NN) with the
FL. The data are collected for standard risk levels from real
medical centers. The results lead to well ANFIS design based
on the FL, which can generate such interesting outcomes for
predicting risk levels for thyroid hormone and blood pressure.
Both proposed methods of the FL and ANFIS can be exploited
for medical applications.

Author Biographies

Musab Tahseen Salahaldeen Al-Kaltakchi, Mustansiriyah University, Department of Electrical Engineering, College of Engineering, Mustansiriyah University, Baghdad, Iraq;

Dr. Musab T. S. Al-Kaltakchi is a lecturer in the Electrical Engineering Department, Mustansiriyah University, Baghdad-Iraq. He obtained his BSc in Electrical Engineering in 1996 and obtained his MSc in Communication and Electronics in 2004 from Mustansiriyah University. He was awarded a PhD degree in Electrical Engineering/ Digital Signal Processing from Newcastle University, UK in 2018. He is a member of the Institute of Electrical and Electronic Engineering (IEEE) and also in the Institute of Engineering and Technology (IET). His research interests include Speaker identification and verification, Speech and audio signal processing, Machine learning, Artificial intelligence, Pattern recognition, and Biometrics. He can be contacted at Email: musab.tahseen@gmail.com & at Email: m.t.s.al_kaltakchi@uomustansiriyah.edu.iq.

Raid Rafi Omar Al-Nima, Technical Engineering College of Mosul, Northern Technical University, Mosul, Iraq.

Technical Engineering
College of Mosul, Northern Technical University, Mosul, Iraq.

Azza Alhialy, Technical Engineering College of Mosul, Northern Technical University, Mosul, Iraq.

Technical Engineering
College of Mosul, Northern Technical University, Mosul, Iraq.

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Additional Files

Published

2024-07-18

Issue

Section

Biomedical Engineering