A review on current advances in machine learning based diabetes prediction
Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged
period in the body as it is not capable of using it properly. The severe complications …
period in the body as it is not capable of using it properly. The severe complications …
A CNN model: earlier diagnosis and classification of Alzheimer disease using MRI
AW Salehi, P Baglat, BB Sharma… - … on Smart Electronics …, 2020 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is the most common form of dementia that can lead to a
neurological brain disorder that causes progressive memory loss as a result of damaging …
neurological brain disorder that causes progressive memory loss as a result of damaging …
PSU-CNN: prediction of student understanding in the classroom through student facial images using convolutional neural network
Facial expressions are a set of symbols of great importance for human-to-human
communication. This communication can be assisted/optimized through use of artificial …
communication. This communication can be assisted/optimized through use of artificial …
A Comparative Study of Machine Learning Techniques for the Detection of Alzheimer's Disease
K Kumar, K Kaur, A Thakur, N Nazir… - 2023 10th IEEE Uttar …, 2023 - ieeexplore.ieee.org
The timely detection of Alzheimer's disease remains a significant challenge in the medical
field, yet machine learning algorithms offer promising solutions. This study delves into the …
field, yet machine learning algorithms offer promising solutions. This study delves into the …
A Comprehensive Review of Machine Learning techniques used for Designing An Academic Result Predictor And Identifying The Multi-Dimensional Factors Affecting …
R Qureshi, PS Lokhande - 2024 2nd DMIHER International …, 2024 - ieeexplore.ieee.org
In today's era of data explosion, the vast amounts of generated data offer valuable insights
for stakeholders if effectively utilized. In the educational sector, analyzing this data with …
for stakeholders if effectively utilized. In the educational sector, analyzing this data with …
A Comprehensive Assessment on Predictive Analytics using Data Mining Techniques
Educational Data Mining is a fast emerging multidisciplinary field that reveals unexpected
patterns in educational organizations. Considering the issues and demanding situations …
patterns in educational organizations. Considering the issues and demanding situations …
Development of point-of-care lateral flow immunochromatographic assay for foot and mouth disease diagnosis
AM Anil, NP Navaneetha, PV Reddy… - Current Trends in …, 2020 - ir.vignan.ac.in
Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged
period in the body as it is not capable of using it properly. The severe complications …
period in the body as it is not capable of using it properly. The severe complications …
[PDF][PDF] Design, Implementation and Evaluation of a Learning Analytics Intervention Framework
K Alalawi - 2023 - nova.newcastle.edu.au
This chapter introduces the thesis by presenting background information on the increasing
importance of technology for enhancing educational outcomes. The significance of and …
importance of technology for enhancing educational outcomes. The significance of and …
[PDF][PDF] Student Performance Prediction-Review and Analysis
D Rana, D Parmar - researchgate.net
Student performance prediction is an area of major development for educational institutions
which can help in better academic support for students. Existing Information Management …
which can help in better academic support for students. Existing Information Management …