Cargando…

Neural network analysis of clinical variables predicts escalated care in COVID-19 patients: a retrospective study

This study sought to identify the most important clinical variables that can be used to determine which COVID-19 patients hospitalized in the general floor will need escalated care early on using neural networks (NNs). Analysis was performed on hospitalized COVID-19 patients between 7 February 2020...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lu, Joyce Q., Musheyev, Benjamin, Peng, Qi, Duong, Tim Q.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2021
Materias:	Bioinformatics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061580/ https://www.ncbi.nlm.nih.gov/pubmed/33976972 http://dx.doi.org/10.7717/peerj.11205

Ejemplares similares

Deep learning prediction of likelihood of ICU admission and mortality in COVID-19 patients using clinical variables
por: Li, Xiaoran, et al.
Publicado: (2020)

Deep-learning convolutional neural networks with transfer learning accurately classify COVID-19 lung infection on portable chest radiographs
por: Kikkisetti, Shreeja, et al.
Publicado: (2020)

Deep learning prediction of mild cognitive impairment conversion to Alzheimer’s disease at 3 years after diagnosis using longitudinal and whole-brain 3D MRI
por: Ocasio, Ethan, et al.
Publicado: (2021)

Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variables
por: Hou, Wei, et al.
Publicado: (2021)

Predicting the effect of variants on splicing using Convolutional Neural Networks
por: Thanapattheerakul, Thanyathorn, et al.
Publicado: (2020)

Context dependent prediction in DNA sequence using neural networks
por: Grønbæk, Christian, et al.
Publicado: (2022)

XMR: an explainable multimodal neural network for drug response prediction
por: Wang, Zihao, et al.
Publicado: (2023)

De novo prediction of RNA–protein interactions with graph neural networks
por: Arora, Viplove, et al.
Publicado: (2022)

Structure-based neural network protein–carbohydrate interaction predictions at the residue level
por: Canner, Samuel W., et al.
Publicado: (2023)

DeepNC: a framework for drug-target interaction prediction with graph neural networks
por: Tran, Huu Ngoc Tran, et al.
Publicado: (2022)

Predicting RNA secondary structure by a neural network: what features may be learned?
por: Grigorashvili, Elizaveta I., et al.
Publicado: (2022)

Prediction of HIV-1 protease resistance using genotypic, phenotypic, and molecular information with artificial neural networks
por: Tunc, Huseyin, et al.
Publicado: (2023)

An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients
por: Martinez, Gustavo, et al.
Publicado: (2022)

CRIP: predicting circRNA–RBP-binding sites using a codon-based encoding and hybrid deep neural networks
por: Zhang, Kaiming, et al.
Publicado: (2019)

Deep convolutional neural networks using an active learning strategy for cervical cancer screening and diagnosis
por: Li, Xueguang, et al.
Publicado: (2023)

Bayesian logical neural networks for human-centered applications in medicine
por: Diaz Ochoa, Juan G., et al.
Publicado: (2023)

Removing batch effects for prediction problems with frozen surrogate variable analysis
por: Parker, Hilary S., et al.
Publicado: (2014)

Genome annotation across species using deep convolutional neural networks
por: Khodabandelou, Ghazaleh, et al.
Publicado: (2020)

Quality Assessment of Protein Docking Models Based on Graph Neural Network
por: Han, Ye, et al.
Publicado: (2021)

Mimetic Neural Networks: A Unified Framework for Protein Design and Folding
por: Eliasof, Moshe, et al.
Publicado: (2022)

Gender and age detection assist convolutional neural networks in classification of thorax diseases
por: Ali, Mumtaz, et al.
Publicado: (2021)

Prophylactic versus therapeutic dose anticoagulation effects on survival among critically ill patients with COVID-19
por: Hoogenboom, Wouter S., et al.
Publicado: (2022)

Effectiveness of convolutional neural networks in the interpretation of pulmonary cytologic images in endobronchial ultrasound procedures
por: Lin, Ching‐Kai, et al.
Publicado: (2021)

Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
por: Albashish, Dheeb
Publicado: (2022)

Protein function prediction with gene ontology: from traditional to deep learning models
por: Vu, Thi Thuy Duong, et al.
Publicado: (2021)

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation
por: Amidi, Afshine, et al.
Publicado: (2018)

LIDER: cell embedding based deep neural network classifier for supervised cell type identification
por: Tang, Yachen, et al.
Publicado: (2023)

A novel text sentiment analysis system using improved depthwise separable convolution neural networks
por: Kong, Xiaoyu, et al.
Publicado: (2023)

Stem cell imaging through convolutional neural networks: current issues and future directions in artificial intelligence technology
por: Ramakrishna, Ramanaesh Rao, et al.
Publicado: (2020)

DeephageTP: a convolutional neural network framework for identifying phage-specific proteins from metagenomic sequencing data
por: Chu, Yunmeng, et al.
Publicado: (2022)

Increasing the precision of orthology-based complex prediction through network alignment
por: Pache, Roland A., et al.
Publicado: (2014)

Network science meets respiratory medicine for OSAS phenotyping and severity prediction
por: Mihaicuta, Stefan, et al.
Publicado: (2017)

SNARE-CNN: a 2D convolutional neural network architecture to identify SNARE proteins from high-throughput sequencing data
por: Le, Nguyen Quoc Khanh, et al.
Publicado: (2019)

A Tool for Segmentation of Secondary Structures in 3D Cryo-EM Density Map Components Using Deep Convolutional Neural Networks
por: Mu, Yongcheng, et al.
Publicado: (2021)

Uncovering the relationship and mechanisms of Tartary buckwheat (Fagopyrum tataricum) and Type II diabetes, hypertension, and hyperlipidemia using a network pharmacology approach
por: Lu, Chao-Long, et al.
Publicado: (2017)

Predicting the risk of sarcopenia in elderly patients with patellar fracture: development and assessment of a new predictive nomogram
por: Chen, Yi-sheng, et al.
Publicado: (2020)

Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study
por: Alzubaidi, Laith, et al.
Publicado: (2021)

Using network clustering to predict copy number variations associated with health disparities
por: Jiang, Yi, et al.
Publicado: (2015)

Assessing the prognostic scores for the prediction of the mortality of patients with acute-on-chronic liver failure: a retrospective study
por: Zhang, Yue, et al.
Publicado: (2020)

Development and clinical validation of a 3-miRNA signature to predict prognosis of gastric cancer
por: Qi, Wenqian, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_a1jjf862n5j8j8el5j6t7lidum