Detection and prediction of diabetes using data mining: a comprehensive review

FA Khan, K Zeb, M Al-Rakhami, A Derhab… - IEEE …, 2021 - ieeexplore.ieee.org
Diabetes is one of the most rapidly growing chronic diseases, which has affected millions of
people around the globe. Its diagnosis, prediction, proper cure, and management are …

[HTML][HTML] Healthcare predictive analytics: An overview with a focus on Saudi Arabia

H Alharthi - Journal of infection and public health, 2018 - Elsevier
Despite a newfound wealth of data and information, the healthcare sector is lacking in
actionable knowledge. This is largely because healthcare data, though plentiful, tends to be …

COVID-WideNet—A capsule network for COVID-19 detection

PK Gupta, MK Siddiqui, X Huang… - Applied Soft …, 2022 - Elsevier
Ever since the outbreak of COVID-19, the entire world is grappling with panic over its rapid
spread. Consequently, it is of utmost importance to detect its presence. Timely diagnostic …

Comprehensive screening for suicide risk in primary care

GS Diamond, JL Herres, ESK Ewing, TO Atte… - American journal of …, 2017 - Elsevier
Introduction Suicide is a major public health problem and a complex clinical challenge.
Assessment and early identification could be enhanced with screening tools that look …

Application of receiver operating characteristics (roc) on the prediction of obesity

MK Siddiqui, R Morales-Menendez… - Brazilian Archives of …, 2020 - SciELO Brasil
Obesity is the most common chronic disease, due to its ignorance in society. It gives birth to
other diseases such as endocrine. The objective of this research is to analyze the different …

[PDF][PDF] Using data mining to develop model for classifying diabetic patient control level based on historical medical records

TM Ahmed - Journal of Theoretical and Applied Information …, 2016 - jatit.org
Nowadays, diabetes is considered as one of the diseases which cause more deaths than
any other disease in the world. To avoid the dangerous complications of the diabetes …

DVTXAI: a novel deep vision transformer with an explainable AI-based framework and its application in agriculture

S Kamal, P Sharma, PK Gupta, MK Siddiqui… - The Journal of …, 2025 - Springer
Agriculture is one of the fundamental components of human civilization, contributing not only
to food production but also to economic growth. Early identification of diseases in plants …

Machine learning assisted study of phase and properties in cobalt-free AlCrxCuFeNi2 high-entropy alloys

J Gao, T Shan, X Qin, K Wang, Y Yin, M Huang… - Journal of Alloys and …, 2024 - Elsevier
The application of machine learning (ML) accelerates the discovery of new materials, the
prediction and optimization of properties, and the analysis of the correlation between …

[PDF][PDF] Data mining perspective: Prognosis of life style on hypertension and diabetes.

A Aljumah, M Siddiqui - … Arab Journal of Information Technology (IAJIT), 2016 - ccis2k.org
In the present era, the data mining techniques are widely and deeply useful as decision
support systems in the fields of health care systems. The proposed research is an …

[KNYGA][B] Biometry: Technology, Trends and Applications

RA Ramírez-Mendoza, JJ Lozoya-Santos… - 2022 - books.google.com
Biometrics provide quantitative representations of human features, physiological and
behavioral. This book is a compilation of biometric technologies developed by various …