Results 41 to 50 of about 10,137,565 (351)

PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images

IEEE Access
Pneumonia is a critical respiratory condition characterized by inflammation in the alveoli, leading to impaired gas exchange and severe respiratory distress.
Kashif Munir, Muhammad Usama Tanveer, Hasan J. Alyamani, Amine Bermak, Atiq Ur Rehman   +4 more
doaj   +1 more source

AN IMPROVED GREY WOLF OPTIMIZATION-BASED LEARNING OF ARTIFICIAL NEURAL NETWORK FOR MEDICAL DATA CLASSIFICATION

Journal of ICT, 2021
Grey wolf optimization (GWO) is a recent and popular swarm-based metaheuristic approach. It has been used in numerous fields such as numerical optimization, engineering problems, and machine learning.
Narender Kumar , Dharmender Kumar
doaj   +1 more source

New similarity measures for single-valued neutrosophic sets with applications in pattern recognition and medical diagnosis problems

Complex & Intelligent Systems, 2020
The single-valued neutrosophic set (SVNS) is a well-known model for handling uncertain and indeterminate information. Information measures such as distance measures, similarity measures and entropy measures are very useful tools to be used in many ...
Jiajia Chai, Ganeshsree Selvachandran, F. Smarandache, V. Gerogiannis, Le Hoang Son, Quang-Thinh Bui, Bay Vo   +6 more
semanticscholar   +1 more source

Development of Gas Sensors and Their Applications in Health Safety, Medical Detection, and Diagnosis

Chemosensors
Gas sensors assume a crucial role in the medical domain, offering substantial support for disease diagnosis, treatment, medical environment management, and the operation of medical equipment by virtue of their distinctive gas detection capabilities. This
Jiayu Wang, Rui Wang
doaj   +1 more source

Medical Diagnosis Using Distance-Based Similarity Measures of Single Valued Neutrosophic Multisets [PDF]

Neutrosophic Sets and Systems, 2015
This paper proposes a generalized distance measure and its similarity measures between single valued neutrosophic multisets (SVNMs). Then, the similarity measures are applied to a medical diagnosis problem with incomplete, indeterminate and inconsistent ...
Shan Ye, Jing Fu, Jun Ye
doaj  

HDTV System for Parkinson's Disease Diagnosis

Advances in Electrical and Computer Engineering, 2013
Health care is facing major challenges and information technologies play an important role in disease management. Cost issues raised by many medical problems that society has to face involve a superior approach to the diagnosis of the diseases that ...
POHOATA, S., GRAUR, A.
doaj   +1 more source

Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification

Frontiers in Oncology
IntroductionA brain tumor is a collection of abnormal cells in the brain that can become life-threatening due to its ability to spread. Therefore, a prompt and meticulous classification of the brain tumor is an essential element in healthcare care ...
Qurat-ul-ain Mastoi, Shahid Latif, Sarfraz Brohi, Jawad Ahmad, Abdulmajeed Alqhatani, Mohammed S. Alshehri, Alanoud Al Mazroa, Rahmat Ullah   +7 more
doaj   +1 more source

Confidence Level Aggregation Operators Based on Intuitionistic Fuzzy Rough Sets With Application in Medical Diagnosis

IEEE Access, 2023
In recent days, due to the complexities of different diseases of similar types, it becomes very difficult to diagnose an accurate type of disease, and so medical diagnosis becomes a difficult task for the experts working in health departments.
Tahir Mahmood, Jabbar Ahmmad, Zeeshan Ali, Miin-Shen Yang   +3 more
doaj   +1 more source

SympCoughNet: symptom assisted audio-based COVID-19 detection

Frontiers in Digital Health
COVID-19 remains a significant global public health challenge. While nucleic acid tests, antigen tests, and CT imaging provide high accuracy, they face inefficiencies and limited accessibility, making rapid and convenient testing difficult.
Yuhao Lin, Xiu Weng, Bolun Zheng, Weiwei Zhang, Zhanjun Bu, Yu Zhou   +5 more
doaj   +1 more source

Rough Sets in Biomedical Informatics

Biomath, 2013
The intent of this paper is to face the essentials of granular computing and in its major component -  the rough sets theory, introduced by Pawlak, since any rough set represents  an information granule.
Antony Popov, Simeon Stoykov
doaj   +1 more source