Results 71 to 80 of about 12,729,451 (220)
Similarity Measures of Spherical Fuzzy Sets Based on Cosine Function and Their Applications
In this paper, we defined ten similarity measures between spherical fuzzy sets (SFSs) based on the cosine function by considering the degree of positive-membership, degree of neutral-membership, degree of non-membership and degree of refusual-membership ...
Guiwu Wei +4 more
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ENSEMBLE METHODS FOR SOLVING PROBLEMS OF MEDICAL DIAGNOSIS
The authors proposed the consolidating method for analyzing series of observations based on a fitted model of a mixture of catalysts of the main components, which makes it possible to study any number of markers. Contrasting the longitudinal approach, it
Anastasia A. Grigoreva +2 more
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Modelling and simulation of magnetic induction in magnetic particle imaging system [PDF]
In the last century, tomographic imaging has become an essential tool for disease diagnosis. There are several dominant tomographic imaging methods used for medical application such as computed tomography (CT), magnetic resonance imaging (MRI), positron ...
Birahim, Muhamad Fikri Shahkhirin +2 more
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Recent Advances in Cellulose-Based Biosensors for Medical Diagnosis
Cellulose has attracted much interest, particularly in medical applications such as advanced biosensing devices. Cellulose could provide biosensors with enhanced biocompatibility, biodegradability and non-toxicity, which could be useful for biosensors ...
S. Kamel, Tawfik A Khattab
semanticscholar +1 more source
LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
This study presents a comprehensive analysis of utilizing TensorFlow Lite on mobile phones for the on-edge medical diagnosis of lung diseases. This paper focuses on the technical deployment of various deep learning architectures to classify nine ...
Raghad Aldamani +2 more
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2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2020
The American Diabetes Association (ADA) “Standards of Medical Care in Diabetes” includes the ADA’s current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to ...
semanticscholar +1 more source
Resilience-aware MLOps for AI-based medical diagnostic system
BackgroundThe healthcare sector demands a higher degree of responsibility, trustworthiness, and accountability when implementing Artificial Intelligence (AI) systems.
Viacheslav Moskalenko +1 more
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Autism Data Classification Using AI Algorithms with Rules: Focused Review
Autism Spectrum Disorder (ASD) presents challenges in early screening due to its varied nature and sophisticated early signs. From a machine-learning (ML) perspective, the primary challenges include the need for large, diverse datasets, managing the ...
Abdulhamid Alsbakhi +2 more
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Deep Learning and Medical Diagnosis: A Review of Literature
In this review the application of deep learning for medical diagnosis is addressed. A thorough analysis of various scientific articles in the domain of deep neural networks application in the medical field has been conducted.
M. Bakator, D. Radosav
semanticscholar +1 more source

