Implementation and use of disease diagnosis systems for electronic medical records based on machine learning: A complete review

J Latif, C Xiao, S Tu, SU Rehman, A Imran… - IEEE Access, 2020 - ieeexplore.ieee.org
Electronic health records are used to extract patient's information instantly and remotely,
which can help to keep track of patients' due dates for checkups, immunizations, and to …

Data mining techniques for medical data: a review

SC Pandey - 2016 International Conference on Signal …, 2016 - ieeexplore.ieee.org
Data mining is an important area of research and is pragmatically used in different domains
like finance, clinical research, education, healthcare etc. Further, the scope of data mining …

Hybrid kernel support vector machine classifier and grey wolf optimization algorithm based intelligent classification algorithm for chronic kidney disease

LJ Rubini, E Perumal - Journal of Medical Imaging and Health …, 2020 - ingentaconnect.com
In the present day, distributed algorithms become more popular due to their diversity in
several applications. The prediction and reorganization of medical data required more …

Gender identification using mfcc for telephone applications-a comparative study

J Ahmad, M Fiaz, S Kwon, M Sodanil, B Vo… - arXiv preprint arXiv …, 2016 - arxiv.org
Gender recognition is an essential component of automatic speech recognition and
interactive voice response systems. Determining gender of the speaker reduces the …

A deep learning approach to predict chronic kidney disease in human

F Arafat, T Khan, AD Bapon, MI Khan… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Renal turmoil otherwise called Chronic Kidney Disease (CKD) has been a very important
field of study for a long while now. Diagnosis of CKD requires a lot of tests and it's not a …

Critical Review on Data Mining in Healthcare Sector

P Kaur, N Dhariwal - … on System Modeling & Advancement in …, 2021 - ieeexplore.ieee.org
With the growing need for technology to handle and analyze data, Data Mining (DM) is
becoming an important tool to be used in healthcare for several purposes. Data mining …

Big data science in building medical data classifier using Naïve Bayes model

KJ D'souza, Z Ansari - 2018 IEEE international conference on …, 2018 - ieeexplore.ieee.org
currently, maintenance of clinical databases has become a crucial task in the medical field.
The patient data consisting of various features and diagnostics related to disease should be …

[PDF][PDF] Genetic algorithm and firefly algorithm in a hybrid approach for breast cancer diagnosis

F Mazen, RA AbulSeoud, AM Gody - International Journal of …, 2016 - fayoum.edu.eg
Feed-forward neural networks are popular classification tools which are broadly used for
early detection and diagnosis of breast cancer. In recent years, a great attention has been …

[PDF][PDF] A multi-classifier method based deep learning approach for breast cancer

M Makhtar, R Rosly, MK Awang… - International Journal …, 2020 - researchgate.net
Breast cancer is one of the diseases that haunt every woman around the world. It is one of
the main killers of women not only in Malaysia, even around the world. Medical diagnosis …

An Examination of Methods for Mining Medical Data

K Ghai, J Singh - 2023 10th IEEE Uttar Pradesh Section …, 2023 - ieeexplore.ieee.org
Data mining is a significant area of study and is rationally applied in many industries,
including finance, medical research, education, and healthcare. Additionally, a lot of …