Results 31 to 40 of about 10,137,565 (351)
Medical Diagnosis Using Machine Learning: A Statistical Review
: Decision making in case of medical diagnosis is a complicated process. A large number of overlapping structures and cases, and distractions, tiredness, and limitations with the human visual system can lead to inap-propriate diagnosis. Machine learning (
Kaustubh Arun Bhavsar +5 more
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Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images
Deep Learning-based Smart Healthcare is getting so much attention due to real-time applicability in everyone life’s, and It has obtained more attention with the convergence of IoT.
Amit Kumar Jaiswal +5 more
doaj +1 more source
An Application of Single-Valued Neutrosophic Sets in Medical Diagnosis [PDF]
In this paper, we present the use of single-valued neutrosophic sets in medical diagnosis by using distance measures and similarity measures. Using interconnection between single-valued neutrosophic sets and symptoms of patient, we determine the type of ...
G. Shahzadi, M. Akram, A. B. Saeid
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Injuries to the hamstring muscles are an increasing problem in sports. Imaging plays a key role in diagnosing and managing athletes with muscle injuries, but there are several problems with conventional imaging modalities with respect to cost and ...
Laura Guerrero Orozco +2 more
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2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2021.
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
Close to half of the world population have smartphones, while a flagship smartphone today has been integrated with more than 20 smart components and sensors, making a smartphone a highly integrated platform that can potentially mimic the five senses of ...
Jinlong Zhu +4 more
doaj +1 more source
Migraine Diagnosis by Using Artificial Neural Networks and Decision Tree Techniques
Computer supported studies in wide range of medical fields have been greatly expanded in recent years. Also, many medical organizations continue to build databases for different diseases.
Ziynet Pamuk +2 more
doaj +1 more source
2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2022.
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 ...
B. Draznin +17 more
semanticscholar +1 more source
Objective. The current study aimed to compare the characteristics of chromosome abnormalities detected by conventional G-banding karyotyping, chromosome microarray analysis (CMA), or fluorescence in situ hybridization (FISH)/CNVplex analysis and further ...
Jin Wang +9 more
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Artificial Neural Networks in Medical Diagnosis
Artificial neural networks are finding many uses in the medical diagnosis application. The goal of this paper is to evaluate artificial neural network in disease diagnosis. Two cases are studied.
Qeethara Al-Shayea
semanticscholar +1 more source

