ArticleLife (Basel, Switzerland)2023
Robust Classification and Detection of Big Medical Data Using Advanced Parallel
Article in Life (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
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- Toward Efficient Health Data Identification and Classification in IoMT-Based Systems.Sensors (Basel, Switzerland) · 2025Article
- Prediction of soybean yellow mottle mosaic virus in soybean using hyperspectral imaging.Plant methods · 2025Article
- Image Segmentation Based on the Optimized K-Means Algorithm with the Improved Hybrid Grey Wolf Optimization: Application in Ore Particle Size Detection.Sensors (Basel, Switzerland) · 2025Article
- Prediction of malnutrition in kids by integrating ResNet-50-based deep learning technique using facial images.Scientific reports · 2025Article
- Application of big data technology in enterprise information security management.Scientific reports · 2025Article
- USSC-YOLO: Enhanced Multi-Scale Road Crack Object Detection Algorithm for UAV Image.Sensors (Basel, Switzerland) · 2024Article
- Non-Invasive Prediction of Choledocholithiasis Using 1D Convolutional Neural Networks and Clinical Data.Diagnostics (Basel, Switzerland) · 2024Article
- Conceptually Funded Usability Evaluation of an Application for Leveraging Descriptive Data Analysis Models for Cardiovascular Research.Diagnostics (Basel, Switzerland) · 2024Article
- Exploring Optimization of Zeolites as Adsorbents for Rare Earth Elements in Continuous Flow by Machine Learning Techniques.Molecules (Basel, Switzerland) · 2023Article
- A Deep Dive into the Nexus between Digital Health and Life Sciences Amidst the COVID-19 Pandemic: An Editorial Expedition.Life (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Big-medical-data classification and image detection are crucial tasks in the field of healthcare, as they can assist with diagnosis, treatment planning, and disease monitoring. Logistic regression and YOLOv4 are popular algorithms that can be used for these tasks. However, these techniques have limitations and performance issue with big medical data. In this study, we presented a robust approach for big-medical-data classification and image detection using logistic regression and YOLOv4, respectively. To improve the performance of these algorithms, we proposed the use of advanced parallel
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.