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Evaluation of artificial intelligence techniques in disease diagnosis and prediction
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 …
through high-tech digital devices. The application of artificial intelligence (AI) in the …
[HTML][HTML] Machine-learning-based disease diagnosis: A comprehensive review
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 …
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 …
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 …
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
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 …
essential to make cardiovascular prediction accurate to the maximum. A forecast based on …
Dynamic candidate solution boosted beluga whale optimization algorithm for biomedical classification
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 …
(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 …
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 …
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
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 …
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
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 …
activity will result in a cyber-attack, which causes damage to the system as well as the user's …