Application of machine learning techniques for warfarin dosage prediction: a case study on the MIMIC-III dataset
Warfarin, a commonly prescribed anticoagulant, poses significant dosing challenges due to its narrow therapeutic range and high variability in patient responses. This study applies advanced machine learning techniques to improve the accuracy of international normalized ratio (INR) predictions using...
Saved in:
Main Authors: | Aasim Ayaz Wani, Fatima Abeer |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2025-01-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-2612.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing Binary Change Detection in Hyperspectral Images Using an Efficient Dimensionality Reduction Technique Within Adversarial Learning
by: Amel Oubara, et al.
Published: (2024-12-01) -
A Hybrid Three-Staged, Short-Term Wind-Power Prediction Method Based on SDAE-SVR Deep Learning and BA Optimization
by: Ruiqin Duan, et al.
Published: (2022-01-01) -
SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction
by: Bei Zhu, et al.
Published: (2025-02-01) -
A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling
by: Mahmoud E. Farfoura, et al.
Published: (2025-01-01) -
Task relevant autoencoding enhances machine learning for human neuroscience
by: Seyedmehdi Orouji, et al.
Published: (2025-01-01)