[HTML][HTML] The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review

S Ali, F Akhlaq, AS Imran, Z Kastrati… - Computers in Biology …, 2023 - Elsevier
In domains such as medical and healthcare, the interpretability and explainability of
machine learning and artificial intelligence systems are crucial for building trust in their …

[HTML][HTML] Enhancing lung abnormalities detection and classification using a Deep Convolutional Neural Network and GRU with explainable AI: A promising approach …

MK Islam, MM Rahman, MS Ali, SM Mahim… - Machine Learning with …, 2023 - Elsevier
Accurate and timely detection and classification of lung abnormalities are crucial for effective
diagnosis and treatment planning. In recent years, Deep Learning (DL) techniques have …

Guaranteeing correctness in Black-Box Machine Learning: A Fusion of Explainable AI and formal methods for Healthcare decision-making

N Khan, M Nauman, AS Almadhor, N Akhtar… - IEEE …, 2024 - ieeexplore.ieee.org
In recent years, Explainable Artificial Intelligence (XAI) has attracted considerable attention
from the research community, primarily focusing on elucidating the opaque decision-making …

A food recommendation system for predictive diabetic patients using ANN and CNN

NC Brintha, P Nagaraj, A Tejasri… - 2022 7th …, 2022 - ieeexplore.ieee.org
In the present society, many people are suffering from diabetes. To maintain a healthier diet,
people must track the number of food calories they consume daily, along with their total …

A deep neural network with modified random forest incremental interpretation approach for diagnosing diabetes in smart healthcare

TCT Chen, HC Wu, MC Chiu - Applied Soft Computing, 2024 - Elsevier
Artificial intelligence (AI) applications based on deep learning for diagnosing type-II diabetes
are sometimes difficult to understand and communicate even as patients are eager to …

Ensemble Machine Learning (Grid Search & Random Forest) based Enhanced Medical Expert Recommendation System for Diabetes Mellitus Prediction

P Nagaraj, V Muneeswaran… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
" Araetus" was the person who coined the term" Diabetes" and later on the word" mellitus"
which means honey-sweet was added to it by Thomas Willis in the year 1675 after noticing …

A Comprehensive Study of Deep Learning Techniques to Predict Dissimilar Diseases in Diabetes Mellitus Using IoT

R Balaraju, K Lakshmanna - Recent Advances in Computer …, 2024 - benthamdirect.com
India has evaluated 77 million people with diabetes, which makes it the second most
elaborated disease in the world. Diabetes is a chronic syndrome that occurs with increased …

Internet of things based weather and water quality monitoring system

BG Durga, THM Kumaran, IV Devika… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Weather forecasting is a statistical analysis of an environment. It is widely used to predict the
upcoming weather monitoring report. Weather is a climate in terms of temperature, air swing …

IoT based multiple vital health parameter detection and analyzer system

V Muneeswaran, P Nagaraj… - 2022 7th …, 2022 - ieeexplore.ieee.org
The health care checking system is one of the most crucial systems that became high-tech
over history. In the contemporary world, it is very challenging to carry patients to hospitals for …

Particle Swarm Optimization based Detection of Diabetic Retinopathy using a Novel Deep CNN

B Revathi, SKK Elizabeth, P Nagaraj… - … and Smart Energy …, 2023 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is a disease. Diabetic patients are mostly affected by this disease.
This causes damage to the eyes. Most probably the disease affects both the back of the eye …