Evaluation of artificial intelligence techniques in disease diagnosis and prediction

N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …

Artificial intelligence techniques to predict the airway disorders illness: a systematic review

A Koul, RK Bawa, Y Kumar - Archives of Computational Methods in …, 2023 - Springer
Airway disease is a major healthcare issue that causes at least 3 million fatalities every year.
It is also considered one of the foremost causes of death all around the globe by 2030 …

Harvesting social media sentiment analysis to enhance stock market prediction using deep learning

P Mehta, S Pandya, K Kotecha - PeerJ Computer Science, 2021 - peerj.com
Abstract Information gathering has become an integral part of assessing people's behaviors
and actions. The Internet is used as an online learning site for sharing and exchanging …

Advancements in AI based healthcare techniques with FOCUS ON diagnostic techniques

N Kalra, P Verma, S Verma - Computers in Biology and Medicine, 2024 - Elsevier
Since the past decade, the interest towards more precise and efficient healthcare techniques
with special emphasis on diagnostic techniques has increased. Artificial Intelligence has …

Data augmentation using Variational Autoencoders for improvement of respiratory disease classification

J Saldanha, S Chakraborty, S Patil, K Kotecha… - Plos one, 2022 - journals.plos.org
Computerized auscultation of lung sounds is gaining importance today with the availability
of lung sounds and its potential in overcoming the limitations of traditional diagnosis …

[HTML][HTML] A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings

K Stokes, R Castaldo, M Franzese, M Salvatore… - Biocybernetics and …, 2021 - Elsevier
Pneumonia is a leading cause of mortality in limited resource settings (LRS), which are
common in low-and middle-income countries (LMICs). Accurate referrals can reduce the …

A survey of deep learning for retinal blood vessel segmentation methods: taxonomy, trends, challenges and future directions

OO Sule - IEEE Access, 2022 - ieeexplore.ieee.org
Recent advancements in deep learning architectures have extended their application to
computer vision tasks, one of which is the segmentation of retinal blood vessels from retinal …

A chatbot based question and answer system for the auxiliary diagnosis of chronic diseases based on large language model

S Zhang, J Song - Scientific reports, 2024 - nature.com
In recent years, artificial intelligence has made remarkable strides, improving various
aspects of our daily lives. One notable application is in intelligent chatbots that use deep …

Fault detection in wireless sensor network based on deep learning algorithms

R Regin, S Rajest, B Singh - EAI Endorsed Transactions on Scalable …, 2021 - eudl.eu
This paper is about Fault detection over a wireless sensor network in a fully distributed
manner. First, we proposed the Convex hull algorithm to calculate a set of extreme points …

[HTML][HTML] Detecting respiratory diseases using machine learning-based pattern recognition on spirometry data

AI Taloba, RT Matoog - Alexandria Engineering Journal, 2025 - Elsevier
Respiratory diseases such as chronic obstructive pulmonary disease (COPD) and
pulmonary diseases in general represent some of the most pervasive health threats globally …