Enhancing Medical Diagnostics with Machine Learning: A Study on Ensemble Methods and Transfer Learning
This paper explores the use of machine learning (ML) in medicine, emphasizing how important it is to enhance patient outcomes and diagnostic precision. As medical data grows in complexity and volume, advanced ML techniques are increasingly necessary. The research focuses on leveraging Convolutional...
Saved in:
Main Author: | Zhang Jiaming |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2025-01-01
|
Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_02022.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning
by: Shahriar Kaisar, et al.
Published: (2024-06-01) -
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification
by: Ahmed Alsayat, et al.
Published: (2025-01-01) -
Statistical mechanics and machine learning of the α-Rényi ensemble
by: Andrew Jreissaty, et al.
Published: (2025-01-01) -
Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics
by: Vladimir S. Kublanov, et al.
Published: (2017-01-01) -
Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data
by: İrem Karakaya
Published: (2025-02-01)