Cover Image

Enhanced prediction of spine surgery outcomes using advanced machine learning techniques and oversampling methods

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Benítez-Andrades, José Alberto, Prada-García, Camino, Ordás-Reyes, Nicolás, Blanco, Marta Esteban, Merayo, Alicia, Serrano-García, Antonio
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diabetes detection using deep learning techniques with oversampling and feature augmentation
by: García-Ordás, María Teresa, et al.
Published: (2024)

Heart disease risk prediction using deep learning techniques with feature augmentation
by: García-Ordás, María Teresa, et al.
Published: (2024)

Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques
by: Benítez-Andrades, José Alberto, et al.
Published: (2024)

Predicting fall risk in older adults: A machine learning comparison of accelerometric and non-accelerometric factors
by: González-Castro, Ana, et al.
Published: (2025)

Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques
by: Marqués-Sánchez, Pilar, et al.
Published: (2024)

Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
by: Rubio-Martín, Sergio, et al.
Published: (2024)

Survival and grade of the glioma prediction using transfer learning
by: Rubio, Santiago Valbuena, et al.
Published: (2024)

Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts
by: Benítez-Andrades, José Alberto, et al.
Published: (2024)

A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF)
by: Delgado-Panadero, Ángel, et al.
Published: (2024)

Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children
by: Benítez-Andrades, José Alberto, et al.
Published: (2024)

Application of Machine Learning Algorithms in Classifying Postoperative Success in Metabolic Bariatric Surgery: A Comprehensive Study
by: Benítez-Andrades, José Alberto, et al.
Published: (2024)

Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19
by: García-Ordás, María Teresa, et al.
Published: (2024)

Implementing local-explainability in Gradient Boosting Trees: Feature Contribution
by: Delgado-Panadero, Ángel, et al.
Published: (2024)

Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data
by: García-Ordás, María Teresa, et al.
Published: (2024)

Multispecies bird sound recognition using a fully convolutional neural network
by: García-Ordás, María Teresa, et al.
Published: (2024)

Classification of Psychiatry Clinical Notes by Diagnosis: A Deep Learning and Machine Learning Approach
by: Rubio-Martín, Sergio, et al.
Published: (2025)

Causal machine learning for predicting treatment outcomes
by: Feuerriegel, Stefan, et al.
Published: (2024)

Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network
by: García-Ordás, María Teresa, et al.
Published: (2024)

Determining the severity of Parkinson's disease in patients using a multi task neural network
by: García-Ordás, María Teresa, et al.
Published: (2024)

Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study
by: Benítez-Andrades, José Alberto, et al.
Published: (2024)

Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments
by: Aguayo-Canela, Francisco José, et al.
Published: (2024)

A machine learning approach for predicting textbook outcome after cytoreductive surgery and hyperthermic intraperitoneal chemotherapy
by: Amir Ashraf Ganjouei, et al.
Published: (2024)

A comparative study of conformal prediction methods for valid uncertainty quantification in machine learning
by: Dewolf, Nicolas
Published: (2024)

Prácticas y representaciones sobre la Guerra Civil Española en Rosario, Argentina
by: Sebastián Nicolás Merayo
Published: (2025)

Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System
by: García-Ordás, María Teresa, et al.
Published: (2024)

Middleware-based multi-agent development environment for building and testing distributed intelligent systems
by: Aguayo-Canela, Francisco José, et al.
Published: (2024)

TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection
by: Bayón-Gutiérrez, Martín, et al.
Published: (2024)

Anchor-based oversampling for imbalanced tabular data via contrastive and adversarial learning
by: Mohammadi, Hadi, et al.
Published: (2025)

Paciente etiquetado de difícil
by: Francisco Andrades García
Published: (2005)

Combination of dynamic TOPMODEL and machine learning techniques to improve runoff prediction
by: Pin‐Chun Huang
Published: (2024)

Subdural hematoma following lumbar spine surgery
by: CHRISTIAN CAMILO GIRALDO-OCAMPO
Published: (2021)

What are the latest advancements in plastic surgery techniques for limb amputees?
by: Tripdatabase
Published: (2025)

The pie‐crusting technique in knee surgery: Indications, technique, complications and outcomes
by: Yavuz Şahbat, et al.
Published: (2026)

Enhancing radon-deficit technique efficacy: machine learning applications for environmental variable analysis in soil gas monitoring
by: LORENZO FERNANDEZ, DAVID, et al.
Published: (2025)

Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data
by: Yang, Cynthia, et al.
Published: (2024)

Polar‐low track prediction using machine‐learning methods
by: Ziying Yang, et al.
Published: (2026)

Bond return predictability: Macro factors and machine learning methods
by: Ying Jiang, et al.
Published: (2024)

Mucogingival surgery techniques: Coronally advanced flap versus tunnel approach
by: Sofia Aroca, et al.
Published: (2026)

Local distribution-based adaptive oversampling for imbalanced regression
by: Alahyari, Shayan, et al.
Published: (2025)

On the convergence analysis of MsFEM with oversampling: Interpolation error
by: Li, Guanglian
Published: (2025)