[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 …

Machine learning-based coronary artery disease diagnosis: A comprehensive review

R Alizadehsani, M Abdar, M Roshanzamir… - Computers in biology …, 2019 - Elsevier
Coronary artery disease (CAD) is the most common cardiovascular disease (CVD) and often
leads to a heart attack. It annually causes millions of deaths and billions of dollars in …

Medical diagnostic systems using artificial intelligence (ai) algorithms: Principles and perspectives

S Kaur, J Singla, L Nkenyereye, S Jha, D Prashar… - IEEE …, 2020 - ieeexplore.ieee.org
Disease diagnosis is the identification of an health issue, disease, disorder, or other
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …

The significance of machine learning in clinical disease diagnosis: A review

SM Rahman, S Ibtisum, E Bazgir, T Barai - arXiv preprint arXiv:2310.16978, 2023 - arxiv.org
The global need for effective disease diagnosis remains substantial, given the complexities
of various disease mechanisms and diverse patient symptoms. To tackle these challenges …

Principles and Perspectives in Medical Diagnostic Systems Employing Artificial Intelligence (AI) Algorithms

M Tariq, Y Hayat, A Hussain, A Tariq, S Rasool - International Research Journal … - irjems.org
The process of identifying a health problem, illness, disorder, or other condition is known as
disease diagnosis. Diagnosing certain diseases may be quite simple at times, but there may …

Using PSO algorithm for producing best rules in diagnosis of heart disease

AH Alkeshuosh, MZ Moghadam… - … on computer and …, 2017 - ieeexplore.ieee.org
Heart disease is still a growing global health issue. In the health care system, limiting human
experience and expertise in manual diagnosis leads to inaccurate diagnosis, and the …

[PDF][PDF] Heart disease prediction system using data mining techniques and intelligent fuzzy approach: a review

V Krishnaiah, G Narsimha, NS Chandra - International Journal of …, 2016 - Citeseer
The Healthcare trade usually clinical diagnosis is ended typically by doctor's knowledge and
practice. Computer Aided Decision Support System plays a major task in medical field. Data …

[PDF][PDF] Diagnosis of heart disease using data mining algorithm

D Chandna - International journal of computer science and …, 2014 - Citeseer
In health concern business, data mining plays a significant task for predicting diseases.
Numeral number of tests must be requisite from the patient for detecting a disease. However …

[HTML][HTML] The increase of theta power and decrease of alpha/theta ratio as a manifestation of cognitive impairment in parkinson's disease

K Zawiślak-Fornagiel, D Ledwoń, M Bugdol… - Journal of Clinical …, 2023 - mdpi.com
In this study, we aim to assess and examine cognitive functions in Parkinson's Disease
patients using EEG recordings, with a central focus on characteristics associated with a …

[HTML][HTML] Intelligence system for diagnosis level of coronary heart disease with K-star algorithm

W Wiharto, H Kusnanto, H Herianto - Healthcare informatics …, 2016 - ncbi.nlm.nih.gov
Objectives Coronary heart disease is the leading cause of death worldwide, and it is
important to diagnose the level of the disease. Intelligence systems for diagnosis proved can …