Related references
Note: Only part of the references are listed.The psychological impact of COVID-19 and restrictive measures in the world
Marco Passavanti et al.
JOURNAL OF AFFECTIVE DISORDERS (2021)
Online Education Optimization Based on Edge Computing under the COVID-19 Pandemic
Huiling Wang et al.
SCIENTIFIC PROGRAMMING (2021)
Impact on Biometric Identification Systems of COVID-19
Yuheng Guo
SCIENTIFIC PROGRAMMING (2021)
A Multivariate Model for Predicting the Progress of COVID-19 Using Clinical Data besides Chest CT Scan
Yingying Zhu et al.
SCIENTIFIC PROGRAMMING (2021)
Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment
Karrar Hameed Abdulkareem et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Machine Learning-Based Model to Predict the Disease Severity and Outcome in COVID-19 Patients
Sumayh S. Aljameel et al.
SCIENTIFIC PROGRAMMING (2021)
Psychological Impact of COVID-19 Pandemic Among the General Population in Jordan
Moawiah Khatatbeh et al.
FRONTIERS IN PSYCHIATRY (2021)
The Effect of COVID-19 and Related Lockdown Phases on Young Peoples' Worries and Emotions: Novel Data From India
Meenakshi Shukla et al.
FRONTIERS IN PUBLIC HEALTH (2021)
Improved 3D U-Net for COVID-19 Chest CT Image Segmentation
Ruiyong Zheng et al.
SCIENTIFIC PROGRAMMING (2021)
Machine learning-based prediction of COVID-19 diagnosis based on symptoms
Yazeed Zoabi et al.
NPJ DIGITAL MEDICINE (2021)
A Case Series of Children With 2019 Novel Coronavirus Infection: Clinical and Epidemiological Features
Cai Jiehao et al.
CLINICAL INFECTIOUS DISEASES (2020)
A Well Infant With Coronavirus Disease 2019 With High Viral Load
Kai-Qian Kam et al.
CLINICAL INFECTIOUS DISEASES (2020)
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China
Dawei Wang et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2020)
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Chaolin Huang et al.
LANCET (2020)
Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
Yicheng Fang et al.
RADIOLOGY (2020)
Estimating the Unreported Number of Novel Coronavirus (2019-nCoV) Cases in China in the First Half of January 2020: A Data-Driven Modelling Analysis of the Early Outbreak
Shi Zhao et al.
JOURNAL OF CLINICAL MEDICINE (2020)
Work-related COVID-19 transmission in six Asian countries/areas: A follow-up study
Fan-Yun Lan et al.
PLOS ONE (2020)
Virological assessment of hospitalized patients with COVID-2019
Roman Woelfel et al.
NATURE (2020)
Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population
Abhirup Banerjee et al.
INTERNATIONAL IMMUNOPHARMACOLOGY (2020)
Clinical Predictive Models for COVID-19: Systematic Study
Patrick Schwab et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2020)
Comparison of deep learning approaches to predict COVID-19 infection
Talha Burak Alakus et al.
CHAOS SOLITONS & FRACTALS (2020)
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment
Mohammad Behdad Jamshidi et al.
IEEE ACCESS (2020)
A disease diagnosis and treatment recommendation system based on big data mining and cloud computing
Jianguo Chen et al.
INFORMATION SCIENCES (2018)
Artificial intelligence in healthcare: past, present and future
Fei Jiang et al.
STROKE AND VASCULAR NEUROLOGY (2017)
A metric and workflow for quality control in the analysis of heterogeneity in phenotypic profiles and screens
Albert Gough et al.
METHODS (2016)
Predicting Asthma-Related Emergency Department Visits Using Big Data
Sudha Ram et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2015)