Cargando…

Deep forest model for diagnosing COVID-19 from routine blood tests

The Coronavirus Disease 2019 (COVID-19) global pandemic has threatened the lives of people worldwide and posed considerable challenges. Early and accurate screening of infected people is vital for combating the disease. To help with the limited quantity of swab tests, we propose a machine learning p...

Descripción completa

Detalles Bibliográficos
Autores principales:	AlJame, Maryam, Imtiaz, Ayyub, Ahmad, Imtiaz, Mohammed, Ameer
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8371014/ https://www.ncbi.nlm.nih.gov/pubmed/34404838 http://dx.doi.org/10.1038/s41598-021-95957-w

Ejemplares similares

Ensemble learning model for diagnosing COVID-19 from routine blood tests
por: AlJame, Maryam, et al.
Publicado: (2020)

COVID-19 psychosis versus psychosis due to cytotoxic lesion of the corpus callosum (CLOCC): A case report and review
por: Levin, Yuval, et al.
Publicado: (2023)

Diagnosing brain tumours by routine blood tests using machine learning
por: Podnar, Simon, et al.
Publicado: (2019)

Equilibrium-based COVID-19 diagnosis from routine blood tests: A sparse deep convolutional model
por: Altantawy, Doaa A., et al.
Publicado: (2023)

Routine blood testing
por: CERN PhotoLab
Publicado: (1968)

Management of Deep Orbital Dermoid Cysts
por: Chaudhry, Imtiaz A.
Publicado: (2008)

Predicting psoriasis using routine laboratory tests with random forest
por: Zhou, Jing, et al.
Publicado: (2021)

Novel deep learning approach to model and predict the spread of COVID-19
por: Ayris, Devante, et al.
Publicado: (2022)

In Search of an Efficient and Reliable Deep Learning Model for Identification of COVID-19 Infection from Chest X-ray Images
por: Azad, Abul Kalam, et al.
Publicado: (2023)

Predictive models for COVID-19 detection using routine blood tests and machine learning
por: Kistenev, Yury V., et al.
Publicado: (2022)

Study of transmission dynamics of novel COVID-19 by using mathematical model
por: Ud Din, Rahim, et al.
Publicado: (2020)

COVID-19 diagnosis by routine blood tests using machine learning
por: Kukar, Matjaž, et al.
Publicado: (2021)

Use of deep sequencing data for routine analysis of HIV resistance in newly diagnosed patients
por: Fernández-Caballero, Jose-Angel, et al.
Publicado: (2014)

Vitamin D deficiency in newly diagnosed breast cancer patients
por: Imtiaz, Saba, et al.
Publicado: (2012)

Clinical and Biochemical Assessment of Liver Function Test and Its Correlation with Serum Ferritin Levels in Transfusion-dependent Thalassemia Patients
por: Al-Moshary, May, et al.
Publicado: (2020)

Wheel Defect Detection Using a Hybrid Deep Learning Approach
por: Shaikh, Khurram, et al.
Publicado: (2023)

Blood routine test in mild and common 2019 coronavirus (COVID-19) patients
por: Djakpo, Dodji Kossi, et al.
Publicado: (2020)

Identification of parameters in routine blood and coagulation tests related to the severity of COVID-19
por: Ding, Rongrong, et al.
Publicado: (2021)

Fractional model of MHD blood flow in a cylindrical tube containing magnetic particles
por: Majeed, Samina, et al.
Publicado: (2022)

Deep forest
por: Zhou, Zhi-Hua, et al.
Publicado: (2019)

Giant Tricuspid Valve Fibroelastoma Incidentally Diagnosed During Routine Stress Testing
por: Cardy, Christina, et al.
Publicado: (2019)

A comparison of antenatally and intraoperatively diagnosed cases of placenta accreta spectrum
por: Imtiaz, Rahila, et al.
Publicado: (2020)

Experimental Study of Bentonite-Free Water Based Mud Reinforced with Carboxymethylated Tapioca Starch: Rheological Modeling and Optimization Using Response Surface Methodology (RSM)
por: Ali, Imtiaz, et al.
Publicado: (2021)

Prehensile and Non-Prehensile Robotic Pick-and-Place of Objects in Clutter Using Deep Reinforcement Learning
por: Imtiaz, Muhammad Babar, et al.
Publicado: (2023)

Clinical features and bacteriology of lacrimal canaliculitis in patients presenting to a tertiary eye care center in the Middle East
por: Gogandy, Mohammed, et al.
Publicado: (2014)

Routine COVID-19 testing may not be necessary for most cancer patients
por: Motlagh, Ali, et al.
Publicado: (2021)

COVID-19 diagnosis from routine blood tests using artificial intelligence techniques
por: Babaei Rikan, Samin, et al.
Publicado: (2022)

The use of routine blood tests to assist the diagnosis of COVID-19 in symptomatic hospitalized patients
por: Parsons, IT, et al.
Publicado: (2021)

Single-cell modeling of routine clinical blood tests reveals transient dynamics of human response to blood loss
por: Chaudhury, Anwesha, et al.
Publicado: (2019)

Haematological profile, blood cell characteristic and serum biochemical composition of cultured brown trout, Salmo trutta fario with respect to sex
por: Sheikh, Zubair Ahmad, et al.
Publicado: (2022)

Meta-analysis of routine blood tests as predictors of mortality in COPD
por: Lomholt, Frederikke K., et al.
Publicado: (2014)

Effect of Blood Cell Subtypes Lysis on Routine Biochemical Tests
por: Ünlü, Burcu, et al.
Publicado: (2018)

Rapid Testing System for Rice Quality Control through Comprehensive Feature and Kernel-Type Detection
por: Zia, Huma, et al.
Publicado: (2022)

Rebuilding Trust on Routine Immunization in Era of COVID-19 Fear–Role that Civil Society Organizations can Play Hands-in-Hand with Immunization Program
por: Muhammad, Ameer, et al.
Publicado: (2021)

Oxidative-Extractive Desulfurization of Model Fuels Using a Pyridinium Ionic Liquid
por: Mohumed, Hanan, et al.
Publicado: (2020)

Routine Laboratory Blood Tests May Diagnose Significant Fibrosis in Liver Transplant Recipients with Chronic Hepatitis C: A 10 Year Experience
por: Sheen, Victoria, et al.
Publicado: (2016)

DSCC_Net: Multi-Classification Deep Learning Models for Diagnosing of Skin Cancer Using Dermoscopic Images
por: Tahir, Maryam, et al.
Publicado: (2023)

Routine blood tests as an active surveillance to monitor COVID-19 prevalence. A retrospective study
por: Ferrari, Davide, et al.
Publicado: (2020)

Understanding e-satisfaction, continuance intention, and e-loyalty toward mobile payment application during COVID-19: an investigation using the electronic technology continuance model
por: Al Amin, Md., et al.
Publicado: (2023)

Leptin expression is substantially correlated with prognosis of urinary bladder carcinoma
por: Khabaz, Mohamad Nidal, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_nrkmjr73390buu6ii1s6t0a6cs