Research Article
Implementations of Machine Learning in Engineering, Bioengineering, Medicine and Psychology Fields
@INPROCEEDINGS{10.4108/eai.25-10-2023.2348712, author={Fatima Al-Qaoud and Ahmad Aldelemy and Claudia Barbosa and Andrew Carruthers}, title={Implementations of Machine Learning in Engineering, Bioengineering, Medicine and Psychology Fields}, proceedings={Proceedings of the 3rd International Multi-Disciplinary Conference: “Integrated Sciences and Technologies”, IMDC-IST 2023, 25-27 October 2023, Yola, Nigeria}, publisher={EAI}, proceedings_a={IMDC-IST}, year={2024}, month={8}, keywords={machine learning algorithm engineering medicine bioengineering psychology support vector machine k-nearest neighbour recurrent neural networks and convolutional neural network}, doi={10.4108/eai.25-10-2023.2348712} }- Fatima Al-Qaoud
Ahmad Aldelemy
Claudia Barbosa
Andrew Carruthers
Year: 2024
Implementations of Machine Learning in Engineering, Bioengineering, Medicine and Psychology Fields
IMDC-IST
EAI
DOI: 10.4108/eai.25-10-2023.2348712
Abstract
This paper presents definitions and implementations of ‘Machine Learning’ (ML) that have been discussed academically and applied in different fields such as Engineering, Bioengineering, Medicine, and Psychology. With the emergence of complex problems regarding data acquired by systems that are owned by institutions and organizations such as hospitals, manufactures, banks and other organisations, it is urgent that researchers and scientists should amalgamate their efforts and cooperate to find effective solutions to problems related to datasets. Solving such problems necessitates the introduction of enhanced machines and services for patients, customers, and clients. Thus, an effective solution lies in the invention of Machine Learning algorithms that can learn and solve problems related to huge datasets through various classifiers. Employing statistical computations, the results of such inventions reveal high accuracy rate and present the successful performance of ML algorithms.