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 "MEDICAL coding"
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Time Series Classification for Portable Medical Devices.

Publication Type: Academic Journal

Source(s): EAI Endorsed Transactions on Scalable Information Systems. 2023, Vol. 10 Issue 4, p1-10. 10p.

Abstract: INTRODUCTION: With the continuous progress of the medical Internet of Things, intelligent medical wearable devices are also gradually mature. Among them, medical wearable devices for arrhythmia detection have broad application prospects. Arrhythmia is ...

Feature Extraction for Medical Image Classification: A Novel Statistical Approach.

Publication Type: Academic Journal

Source(s): Traitement du Signal. Apr2023, Vol. 40 Issue 2, p727-733. 7p.

Abstract: Medical image classification is an increasingly important area of research, with the need to represent images computationally often posing significant challenges due to the large amounts of data and processing power required. A new approach for image c...

Medical Image Classifications for 6G IoT-Enabled Smart Health Systems.

Publication Type: Academic Journal

Source(s): Diagnostics (2075-4418). Mar2023, Vol. 13 Issue 5, p834. 26p.

Abstract: As day-to-day-generated data become massive in the 6G-enabled Internet of medical things (IoMT), the process of medical diagnosis becomes critical in the healthcare system. This paper presents a framework incorporated into the 6G-enabled IoMT to improv...

Enhancing Small Medical Dataset Classification Performance Using GAN.

Publication Type: Academic Journal

Source(s): Informatics. Mar2023, Vol. 10 Issue 1, p28. 20p.

Abstract: Developing an effective classification model in the medical field is challenging due to limited datasets. To address this issue, this study proposes using a generative adversarial network (GAN) as a data-augmentation technique. The research aims to enh...

Class Imbalanced Medical Image Classification Based on Semi-Supervised Federated Learning.

Publication Type: Academic Journal

Source(s): Applied Sciences (2076-3417). Feb2023, Vol. 13 Issue 4, p2109. 16p.

Abstract: In recent years, the application of federated learning to medical image classification has received much attention and achieved some results in the study of semi-supervised problems, but there are problems such as the lack of thorough study of labeled ...

Ensemble Deep Learning with Chimp Optimization Based Medical Data Classification.

Publication Type: Academic Journal

Source(s): Intelligent Automation & Soft Computing. 2023, Vol. 35 Issue 2, p1643-1655. 13p.

Abstract: Eye state classification acts as a vital part of the biomedical sector, for instance, smart home device control, drowsy driving recognition, and so on. The modifications in the cognitive levels can be reflected via transforming the electroencephalogram...

Comparison of the Predictive Performance of Medical Coding Diagnosis Classification Systems.

Publication Type: Academic Journal

Source(s): Technologies (2227-7080). Dec2022, Vol. 10 Issue 6, p122. 12p.

Abstract: Health analytics frequently involve tasks to predict outcomes of care. A foundational predictor of clinical outcomes is the medical diagnosis (Dx). The most used expression of medical Dx is the International Classification of Diseases (ICD-10-CM). Sinc...

Survey on Recent Trends in Medical Image Classification Using Semi-Supervised Learning.

Publication Type: Academic Journal

Source(s): Applied Sciences (2076-3417). Dec2022, Vol. 12 Issue 23, p12094. 28p.

Abstract: Training machine learning and deep learning models for medical image classification is a challenging task due to a lack of large, high-quality labeled datasets. As the labeling of medical images requires considerable time and effort from medical expert...

AHA-AO: Artificial Hummingbird Algorithm with Aquila Optimization for Efficient Feature Selection in Medical Image Classification.

Publication Type: Academic Journal

Source(s): Applied Sciences (2076-3417). Oct2022, Vol. 12 Issue 19, p9710. 26p.

Abstract: This paper presents a system for medical image diagnosis that uses transfer learning (TL) and feature selection techniques. The main aim of TL on pre-trained models such as MobileNetV3 is to extract features from raw images. Here, a novel feature selec...

Community-Driven Programming: Offering Coding and Robotics Classes in your Library.

Publication Type: Academic Journal

Source(s): Information Technology & Libraries; Jun2023, Vol. 42 Issue 2, p1-8, 8p, 4 Color Photographs, 1 Graph


Abstract: Copyright of Information Technology & Libraries is the property of American Library Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, u...