TY - GEN
T1 - Ensemble Predictive Modeling for Dementia Diagnosis
AU - Duwa, Basil Barth
AU - Onakpojeruo, Efe Precious
AU - Uzun, Berna
AU - Hussain, Abir Jaafar
AU - Ozsahin, Ilker
AU - David, Leena R.
AU - Ozsahin, Dilber Uzun
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The goal of this study is to evaluate and compare the prediction performance of three different models, Multiple Linear Regression (MLR), Artificial Neural Network (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS), in predicting dementia. The models were trained and tested using a dataset of 149 participants and nine input variables, with a 70%/30% data split. Performance indicators for evaluation were R2 RMSE, and MSE. The results show that all models correctly predicted dementia, with ANN and ANFIS marginally exceeding MLR in terms of prediction accuracy. The training and testing phases yielded a perfect R2 score of 1, suggesting a strong fit to the dataset. This study contributes to dementia prediction research by providing a detailed review of various models.
AB - The goal of this study is to evaluate and compare the prediction performance of three different models, Multiple Linear Regression (MLR), Artificial Neural Network (ANN), and Adaptive Neuro-Fuzzy Inference System (ANFIS), in predicting dementia. The models were trained and tested using a dataset of 149 participants and nine input variables, with a 70%/30% data split. Performance indicators for evaluation were R2 RMSE, and MSE. The results show that all models correctly predicted dementia, with ANN and ANFIS marginally exceeding MLR in terms of prediction accuracy. The training and testing phases yielded a perfect R2 score of 1, suggesting a strong fit to the dataset. This study contributes to dementia prediction research by providing a detailed review of various models.
KW - Adaptive neuro-fuzzy inference systems (ANFIS)
KW - Artificial neural network (ANN)
KW - Dementia
KW - Multiple linear regression (MLR)
KW - Prediction
UR - https://www.scopus.com/pages/publications/105000532819
U2 - 10.1109/DeSE63988.2024.10912022
DO - 10.1109/DeSE63988.2024.10912022
M3 - Conference contribution
AN - SCOPUS:105000532819
T3 - Proceedings - International Conference on Developments in eSystems Engineering, DeSE
SP - 352
EP - 357
BT - 17th International Conference on Developments in eSystems Engineering, DeSE 2024
A2 - Al-Jumeily, Dhiya
A2 - Assi, Sulaf
A2 - Jayabalan, Manoj
A2 - Hind, Jade
A2 - Hussain, Abir
A2 - Tawfik, Hissam
A2 - Rowe, Neil
A2 - Mustafina, Jamila
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Conference on Developments in eSystems Engineering, DeSE 2024
Y2 - 6 November 2024 through 8 November 2024
ER -