Cargando…

XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers

In December 2019, an outbreak of novel coronavirus pneumonia spread over Wuhan, Hubei Province, China, which then developed into a significant global health public event, giving rise to substantial economic losses. We downloaded throat swab expression profiling data of COVID-19 positive and negative...

Descripción completa

Detalles Bibliográficos
Autores principales:	Song, Xianbin, Zhu, Jiangang, Tan, Xiaoli, Yu, Wenlong, Wang, Qianqian, Shen, Dongfeng, Chen, Wenyu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Public Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9256927/ https://www.ncbi.nlm.nih.gov/pubmed/35812523 http://dx.doi.org/10.3389/fpubh.2022.926069

Ejemplares similares

Predicting the risk factors of diabetic ketoacidosis-associated acute kidney injury: A machine learning approach using XGBoost
por: Fan, Tingting, et al.
Publicado: (2023)

Impact of COVID-19 on mental health in China: analysis based on sentiment knowledge enhanced pre-training and XGBoost algorithm
por: Huang, Ru, et al.
Publicado: (2023)

Screening of Gene Expression Markers for Corona Virus Disease 2019 Through Boruta_MCFS Feature Selection
por: Sun, Yanbao, et al.
Publicado: (2022)

A forced cough sound based pulmonary function assessment method by using machine learning
por: Xu, Wenlong, et al.
Publicado: (2022)

Spinal disease diagnosis assistant based on MRI images using deep transfer learning methods
por: Xuan, Junbo, et al.
Publicado: (2023)

Mining Employees Safety and the Application of Information Technology in Coal Mining: Review
por: Yang, Li, et al.
Publicado: (2021)

OASL as a Diagnostic Marker for Influenza Infection Revealed by Integrative Bioinformatics Analysis With XGBoost
por: Li, Yang, et al.
Publicado: (2020)

Prediction of Atrial Fibrillation in Hospitalized Elderly Patients With Coronary Heart Disease and Type 2 Diabetes Mellitus Using Machine Learning: A Multicenter Retrospective Study
por: Xu, Qian, et al.
Publicado: (2022)

COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
por: Hasani, Sharif, et al.
Publicado: (2022)

Intelligent ground vibration prediction in surface mines using an efficient soft computing method based on field data
por: Keshtegar, Behrooz, et al.
Publicado: (2023)

Hands-On Gradient Boosting with XGBoost and scikit-learn
por: Wade, Corey, et al.
Publicado: (2020)

Research on the Current Situation and Countermeasures of Inpatient Cost and Medical Insurance Payment Method for Rehabilitation Services in City S
por: Tang, Dongfeng, et al.
Publicado: (2022)

As the SARS-CoV-2 virus evolves, should Omicron subvariant BA.2 be subjected to quarantine, or should we learn to live with it?
por: Xu, Ren, et al.
Publicado: (2022)

Advances in laboratory diagnostic methods for cerebrospinal fluid testing for neurosyphilis
por: Gao, Zheng-Xiang, et al.
Publicado: (2022)

XGBoost-SHAP-based interpretable diagnostic framework for alzheimer’s disease
por: Yi, Fuliang, et al.
Publicado: (2023)

Promotion of Meaning in Life and Wellbeing Among University Students During the COVID-19 Pandemic via a Service-Learning Subject
por: Zhu, Xiaoqin, et al.
Publicado: (2022)

Autopsy evaluation of coal mining deaths in the city of Zonguldak, Turkey
por: Ozer, Erdal, et al.
Publicado: (2014)

COVID-19 Prediction With Machine Learning Technique From Extracted Features of Photoplethysmogram Morphology
por: Nayan, Nazrul Anuar, et al.
Publicado: (2022)

A measurement method for mental health based on dynamic multimodal feature recognition
por: Xu, Haibo, et al.
Publicado: (2022)

A Deep Learning and XGBoost-Based Method for Predicting Protein-Protein Interaction Sites
por: Wang, Pan, et al.
Publicado: (2021)

Rapid, sensitive, and highly specific detection of monkeypox virus by CRISPR-based diagnostic platform
por: Gong, Lin, et al.
Publicado: (2023)

Evaluation of a machine learning algorithms for predicting the dental age of adolescent based on different preprocessing methods
por: Shen, Shihui, et al.
Publicado: (2022)

HIV-1 tropism prediction by the XGboost and HMM methods
por: Chen, Xiang, et al.
Publicado: (2019)

Exploring potential barriers in equitable access to pediatric diagnostic imaging using machine learning
por: Taheri-Shirazi, Maryam, et al.
Publicado: (2023)

The Clinical Importance of the Mercury Problem in Artisanal Small-Scale Gold Mining
por: Afrifa, Justice, et al.
Publicado: (2019)

XGBoost: An Optimal Machine Learning Model with Just Structural Features to Discover MOF Adsorbents of Xe/Kr
por: Liang, Heng, et al.
Publicado: (2021)

Prediction of Online Psychological Help-Seeking Behavior During the COVID-19 Pandemic: An Interpretable Machine Learning Method
por: Liu, Hui, et al.
Publicado: (2022)

Construction of a Diagnostic Algorithm for Diagnosis of Adult Asthma Using Machine Learning with Random Forest and XGBoost
por: Tomita, Katsuyuki, et al.
Publicado: (2023)

Text Mining and Quantitative Research of Medical Service Policy: Sichuan Province as an Example
por: Zhang, Huiqin, et al.
Publicado: (2021)

Twitter sentiment analysis: An Arabic text mining approach based on COVID-19
por: Albahli, Saleh
Publicado: (2022)

Noise exposure assessment of non-coal mining workers in four provinces of China
por: Wang, Xin, et al.
Publicado: (2023)

Differences in epidemiological and clinical features between adult and pediatric tracheobronchial tuberculosis patients in Southwest China
por: Chen, Qing, et al.
Publicado: (2023)

Comparative Analysis of Early-Stage Clinical Features Between COVID-19 and Influenza A H1N1 Virus Pneumonia
por: Shen, Changxing, et al.
Publicado: (2020)

Acceptance of coronavirus disease 2019 (COVID-19) vaccines among healthcare workers: A meta-analysis
por: Wang, Linlin, et al.
Publicado: (2022)

Diagnostic Accuracy of Deep Learning and Radiomics in Lung Cancer Staging: A Systematic Review and Meta-Analysis
por: Zheng, Xiushan, et al.
Publicado: (2022)

Auxiliary Diagnostic Method for Patellofemoral Pain Syndrome Based on One-Dimensional Convolutional Neural Network
por: Shi, Wuxiang, et al.
Publicado: (2021)

Correct diagnosis of childhood pneumonia in public facilities in Tanzania: a randomised comparison of diagnostic methods
por: Salisbury, Taylor, et al.
Publicado: (2021)

Priorities and Instruments of Local Elderly Care Policies in China: Text Mining and Comparative Analysis
por: Li, Xiuqi, et al.
Publicado: (2021)

Data Mining Approach: What Determines the Wellbeing of Women in Montenegro, North Macedonia, and Serbia?
por: Bjegovic-Mikanovic, Vesna, et al.
Publicado: (2022)

Data mining reveal the association between diabetic foot ulcer and peripheral artery disease
por: Zou, Jie, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_6k9gmj2526l5sljmbu25f8fg2k