Predicting the Occurrence of Surgical Site Infections Using Text Mining and Machine Learning

PLoS ONE - United States
doi 10.1371/journal.pone.0226272
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Predicting the Presence of Heart Diseases Using Comparative Data Mining and Machine Learning Algorithms

International Journal of Computer Applications
2020English

An Efficient Model for Predicting Student Dropout Using Data Mining and Machine Learning Techniques

International Journal of Innovative Technology and Exploring Engineering
Mechanics of MaterialsElectronic EngineeringCivilStructural EngineeringElectricalComputer Science
2019English

Predicting the Perceived Level of Reverberation Using Machine Learning

2018English

Predicting Genome-Wide Redundancy Using Machine Learning

BMC Evolutionary Biology
EvolutionEcologySystematicsBehavior
2010English

Hyperoxia and Surgical Site Infections

Anaesthesia
AnesthesiologyPain Medicine
2017English

Scientific Text Sentiment Analysis Using Machine Learning Techniques

International Journal of Advanced Computer Science and Applications
Computer Science
2019English

Virtual Mining Model for Classifying Text Using Unsupervised Learning

American Journal of Applied Sciences
Multidisciplinary
2014English

Personality Classification From Online Text Using Machine Learning Approach

International Journal of Advanced Computer Science and Applications
Computer Science
2020English

Malware Detection System Using Machine Learning and DATA-Mining Techniques

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy