Hybrid feature selection and classification technique for early prediction and severity of diabetes type 2

P Talari, BN, G Kaur, H Alshahrani, MS Al Reshan… - Plos one, 2024 - journals.plos.org
Diabetes prediction is an ongoing study topic in which medical specialists are attempting to
forecast the condition with greater precision. Diabetes typically stays lethargic, and on the off …

A Detailed Investigation and Analysis of Using Machine Learning Techniques for Thyroid Diagnosis

NK Trivedi, RG Tiwari, AK Agarwal… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
A Method of Classification Based on Norms Data mining greatly benefits several subfields
within the healthcare industry. Detecting and treating diseases at an early stage is a …

Towards diabetes mellitus prediction based on machine-learning

H El Bouhissi, RE Al-Qutaish, A Ziane… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
Diabetes is a chronic pathology caused by a disorder of the pancreas, which leads to a high
concentration of sugar in the blood and can affect the functioning of the body system at. This …

Alzheimer's Disease Detection and Classification: An Ensemble Machine Learning Paradigm

NK Trivedi, RG Tiwari, V Gautam… - … on Advancement in …, 2023 - ieeexplore.ieee.org
In industrialized nations, Alzheimer's disease (AD) ranks among the top ten causes of death.
Research, including the use of computer-aided algorithms, has yielded outstanding results …

A Comprehensive Review of Machine Learning Techniques for Lung Cancer Detection

AK Agarwal, H Maheshwari… - … Conference on System …, 2023 - ieeexplore.ieee.org
Despite being the most common cancer worldwide, lung cancer often stays undiagnosed
until advanced stages. In 2022, lung cancer will be responsible for 22% of all cancer-related …

Brain Tumor Detection And Segmentation Analysis With Machine Learning And Sub-Variant Techniques: A Perspective Study

R Goel, NK Trivedi, S Gaur - 2023 2nd Edition of IEEE Delhi …, 2023 - ieeexplore.ieee.org
Researchers in the fields of image separation, interpretation, and computer vision are
always at work on automating tasks such as tumor segmentation, anomaly detection …

Hybrid Deep Neural Network for Alpaca Animal Recognition: Achieving High Accuracy in Detection and Classification

NK Trivedi, H Maheshwari, RG Tiwari… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Developing a reliable and efficient model of animal recognition is challenging. There are
numerous factors to consider, such as the model's accuracy, the number of variables, the …

Feature Fusion Approach with Inception-RestNet and Canonical Correlation Analysis for Strawberry Leaf Disease Detection

V Gautam, H Maheshwari, RG Tiwari… - … on Advancement in …, 2024 - ieeexplore.ieee.org
Strawberries are one of the most demanding horticulture crops due to their flavor and
nutritional value. Therefore, the demand for strawberries growing yearly and production of …

Fecal-based Health Status Prediction in Poultry Birds: A Blended Approach using Handcrafted and Deep Features

RG Tiwari, H Maheshwari… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
The well-being of animals and the profitability of poultry farming are both directly affected by
the condition of the birds raised for food. Assessing the health of chickens has traditionally …

[PDF][PDF] Application of Machine Learning for Classification of Diabetes

D Buxton - ResearchGate, 2022 - researchgate.net
Application of Machine Learning for Classification of Diabetes Page 1 Application of Machine
Learning for Classification of Diabetes By Daniel J. Buxton Supervised by: Dr Benhur Bakhtiari …