Evaluation of artificial intelligence techniques in disease diagnosis and prediction

N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

[HTML][HTML] Machine-learning-based disease diagnosis: A comprehensive review

MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …

Enhancing heart disease prediction accuracy through machine learning techniques and optimization

N Chandrasekhar, S Peddakrishna - Processes, 2023 - mdpi.com
In the medical domain, early identification of cardiovascular issues poses a significant
challenge. This study enhances heart disease prediction accuracy using machine learning …

Efficient medical diagnosis of human heart diseases using machine learning techniques with and without GridSearchCV

GN Ahmad, H Fatima, S Ullah, AS Saidi - Ieee Access, 2022 - ieeexplore.ieee.org
Predicting cardiac disease is considered one of the most challenging tasks in the medical
field. It takes a lot of time and effort to figure out what's causing this, especially for doctors …

A systematic review on machine learning approaches for cardiovascular disease prediction using medical big data

J Azmi, M Arif, MT Nafis, MA Alam, S Tanweer… - Medical engineering & …, 2022 - Elsevier
There is a considerable rise in cardiovascular diseases in the world. It is pertinently
essential to make cardiovascular prediction accurate to the maximum. A forecast based on …

Dynamic candidate solution boosted beluga whale optimization algorithm for biomedical classification

EH Houssein, A Sayed - Mathematics, 2023 - mdpi.com
In many fields, complicated issues can now be solved with the help of Artificial Intelligence
(AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms …

[HTML][HTML] MLP-PSO hybrid algorithm for heart disease prediction

A Al Bataineh, S Manacek - Journal of Personalized Medicine, 2022 - mdpi.com
Background: Machine Learning (ML) is becoming increasingly popular in healthcare,
particularly for improving the timing and accuracy of diagnosis. ML can provide disease …

Detection of cardiovascular diseases in ECG images using machine learning and deep learning methods

MB Abubaker, B Babayiğit - IEEE transactions on artificial …, 2022 - ieeexplore.ieee.org
Cardiovascular diseases (heart diseases) are the leading cause of death worldwide. The
earlier they can be predicted and classified; the more lives can be saved. Electrocardiogram …

[HTML][HTML] Effectively predicting the presence of coronary heart disease using machine learning classifiers

CAU Hassan, J Iqbal, R Irfan, S Hussain, AD Algarni… - Sensors, 2022 - mdpi.com
Coronary heart disease is one of the major causes of deaths around the globe. Predicating a
heart disease is one of the most challenging tasks in the field of clinical data analysis …

Dugat-LSTM: Deep learning based network intrusion detection system using chaotic optimization strategy

R Devendiran, AV Turukmane - Expert Systems with Applications, 2024 - Elsevier
Network intrusion is a huge harmful activity to the privacy of the data sharing network. The
activity will result in a cyber-attack, which causes damage to the system as well as the user's …