[This corrects the article DOI: 10.1371/journal.pone.0235909.].
Download full-text PDF |
Source |
|---|---|
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0317846 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
A Novel Preoperative Scoring System to Accurately Predict Cord-Level Intraoperative Neuromonitoring Data Loss During Spinal Deformity Surgery: A Machine-Learning Approach.
J Bone Joint Surg Am
November 2024
Department of Orthopedic Surgery, Columbia University Irving Medical Center, New York, NY.
Background: An accurate knowledge of a patient's risk of cord-level intraoperative neuromonitoring (IONM) data loss is important for an informed decision-making process prior to deformity correction, but no prediction tool currently exists.
Methods: A total of 1,106 patients with spinal deformity and 205 perioperative variables were included. A stepwise machine-learning (ML) approach using random forest (RF) analysis and multivariable logistic regression was performed.
Association between sociodemographic characteristics, stress level and resilience with family functioning of immigrants.
Rev Gaucha Enferm
January 2025
Universidade Estadual de Maringá. Programa de Pós-Graduação em Enfermagem. Departamento de Enfermagem. Maringá, Paraná, Brasil.
Objective: To analyze the association between sociodemographic characteristics, level of perceived stress and resilience with family functioning of immigrants in Brazil.
Method: Cross-sectional study with 122 immigrants living in a municipality in southern Brazil. Data collected in 2021, using questions for characterization, Family Cohesion and Adaptability, Resilience and Perceived Stress Assessment Scale.
A Cross-Biomeasure Study to Optimize Antiretroviral Adherence Estimation.
J Acquir Immune Defic Syndr
November 2024
University of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC, USA.
Background: Incomplete adherence to daily tenofovir disoproxil fumarate/emtricitabine (TDF/FTC) reduces effectiveness. Adherence biomeasures (i.e.
View Article and Find Full Text PDFImproving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning.
PLoS One
January 2025
Department of Computer Science, University of Jaén, Jaén, Spain.
In the production sector, the usefulness of predictive systems as a tool for management and decision-making is well known. In the agricultural sector, a correct economic balance of the farm depends on making the right decisions. For this purpose, having information in advance on crop yields is an extraordinary help.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!