Investigating Cellular Trajectories in the Severity of COVID-19 and Their Transcriptional Programs Using Machine Learning Approaches기계 학습 접근 방식을 사용하여 COVID-19의 심각도와 그 전사 프로그램의 세포 궤적 조사Article Published on 2021-04-242022-09-10 Journal: Genes [Category] MERS, 유전자 메커니즘, [키워드] Algorithm applied BALF Bronchoalveolar lavage fluid cellular change Complement pathway COVID-19 COVID-19 infection COVID-19 pathogenesis COVID-19 patient COVID-19 patients COVID-19 severity deep learning disease severity driver Drivers function functions GATA3 Gene Expression identify Infection machine learning machine learning algorithm Machine learning algorithms Macrophage macrophages marker mechanism MITF pathway Program RNA sequencing SARS-CoV-2 virus SARS-CoV-2 virus infection severity single cell RNA-seq single-cell Single-cell RNA sequencing T cells the disease the SARS-CoV-2 virus tissue Trajectories trajectory trajectory inference transcription factor transcription factors transcriptional transcriptomic virus infection [DOI] 10.3390/genes12050635 PMC 바로가기 [Article Type] Article
Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learningResearch Article Published on 2021-04-202022-10-29 Journal: PLoS Pathogens [Category] COVID-19, [키워드] Accuracy addition Animal host applied Applying approach assist bat categories codon usage coevolution coronavirus Coronaviruses COVID-19 COVID-19 pandemic Cross-species transmission demonstrated disease Diseases effort emerging disease family Coronaviridae feature Genetic Genome genomic genomic information Health Host host-virus interaction investigated likelihood machine learning algorithm MERS-CoV methodology Model New nine nucleotide sequence Outbreaks pandemic phylogenetic analyses Phylogeny predict predicted Predictive Protein random reached resource SARS-CoV SARS-CoV-2 sequence shown Spike protein Spike protein sequence suggested tracing Variation viral genome virus whole genome whole genome sequence whole genomes widespread Yinpterochiroptera zoonotic Zoonotic coronavirus [DOI] 10.1371/journal.ppat.1009149 PMC 바로가기 [Article Type] Research Article
Perspective: Wearable Internet of Medical Things for Remote Tracking of Symptoms, Prediction of Health Anomalies, Implementation of Preventative Measures, and Control of Virus Spread During the Era of COVID-19Robotics and AI Published on 2021-04-142022-10-31 Journal: Frontiers in Robotics and AI [Category] COVID-19, [키워드] AI for health Algorithm benefit Biomarker can be used collected Community Compliance contracting the virus Control COVID-19 COVID-19 pandemic disseminate explain Healthcare provider Healthcare system help impacted increase in individual individuals Interaction Internet IoMT likelihood machine learning algorithm medical service outbreak Perspective positive prediction reducing remote SARS-COV-2 infection smart connected health smart wearables Spread spread control spread of COVID-19 SSD SST Symptom symptom tracking System Telemedicine the mean tracing virus [DOI] 10.3389/frobt.2021.610653 PMC 바로가기 [Article Type] Robotics and AI
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective StudyComputational and Artificial Intelligence Published on 2021-03-192022-10-30 Journal: Ieee Access [Category] COVID-19, [키워드] age and gender Algorithm auxiliary Blood routine Chinese Clinical diagnosis clinician conducted coronavirus COVID-19 COVID-19 infection criterion Diagnosis Disease diagnosis effective experiment Factor Factors Feature selection identify identifying Infection machine learning machine learning algorithm Metrics mould performed random severe COVID-19 patient severity slime mould algorithm stability Support support vector machine SVM the patient was used [DOI] 10.1109/ACCESS.2021.3067311 PMC 바로가기 [Article Type] Computational and Artificial Intelligence
Supervised machine learning to support the diagnosis of bacterial infection in the context of COVID-19Original Article Published on 2021-03-032022-10-29 Journal: JAC-Antimicrobial Resistance [Category] COVID-19, [키워드] Admission Algorithm artificial Bacterial infection Blood calculated characteristic COVD-19 COVID-19 COVID-19 cohort COVID-19 pandemic demographic demonstrated diagnose Diagnosis evaluated hospital hospitalized patient individual Infection Inpatient likelihood London machine learning algorithm Naïve Bayes network Neural Patient patients with COVID-19 PCR positive profile Prospective Result SARS-CoV-2 PCR secondary bacterial infection sensitivity specificity Support support vector machine SVM variable variables [DOI] 10.1093/jacamr/dlab002 PMC 바로가기 [Article Type] Original Article
Lung ultrasound education: simulation and hands-onCommentary Published on 2021-03-022022-10-27 Journal: The British Journal of Radiology [Category] Coronavirus, MERS, SARS, [키워드] Accuracy assessments Clinical practice COVID-19 COVID-19 pandemic death diagnose diagnostic greater help helping IMPROVE lung Lung disease machine learning algorithm MONITOR Patient Patient care patients patients with COVID-19 Practitioner progressive respiratory failure reduce Safe [DOI] 10.1259/bjr.20200755 PMC 바로가기 [Article Type] Commentary
Lung ultrasound education: simulation and hands-on폐 초음파 교육: 시뮬레이션 및 실습Commentary Published on 2021-03-022022-09-12 Journal: The British Journal of Radiology [Category] 진단, [키워드] Accuracy assessments Chest radiography Clinical practice COVID-19 COVID-19 pandemic damage death Decision-making diagnose diagnostic Governance greater help helping IMPROVE in some learning curve limitation lung Lung disease machine learning algorithm Machine learning algorithms MONITOR Patient Patient care patients patients with COVID-19 Practitioner practitioners progressive respiratory failure reduce Respiratory failure Safe Simulation [DOI] 10.1259/bjr.20200755 PMC 바로가기 [Article Type] Commentary
Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development StudyOriginal Paper Published on 2021-02-262022-10-30 Journal: Journal of Medical Internet Research [Category] COVID-19, MERS, [키워드] addition age Algorithm Analysis automated automated machine learning Biomarker Biomarkers Blood urea nitrogen boost build clinical decision clinician collected Comorbidities Comorbidity conducted correlated COVID-19 COVID-19 disease severity D-dimer level death Decision support decision support tool deep learning develop development Diastolic blood pressure Dimensionality reduction effective evaluated extreme identify independent lactate dehydrogenase machine machine learning machine learning algorithm Machine learning algorithms machine learning model Medical resources Model Mortality objective pandemic partial dependence plot Patient patients with COVID-19 polymerase chain positive predict predicted prediction previous study pulse oximetry ranking receive reduction respiratory rate Result SARS-COV-2 infection selected Shapley additive explanation Support survival tested variable variables vital signs was measured were used [DOI] 10.2196/23458 PMC 바로가기 [Article Type] Original Paper
Machine learning based predictors for COVID-19 disease severityArticle Published on 2021-02-252022-10-29 Journal: Scientific Reports [Category] Coronavirus, MERS, [키워드] Algorithm AUC Blood category Classifier Clinical data COVID-19 COVID-19 disease severity develop disease severity dropped feature Features FIVE forest Healthcare system help ICU initial intensive care less machine machine learning machine learning algorithm mechanical ventilation Outcomes research performed predictor predictors Prognosis provided Quantitative data reduced retained socio-demographic [DOI] 10.1038/s41598-021-83967-7 PMC 바로가기 [Article Type] Article
Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variablesResearch Paper Published on 2021-02-182022-10-29 Journal: International Journal of Medical Sciences [Category] COVID-19, MERS, [키워드] Admission age Algorithm Analysis approach artificial intelligence AUC Care characteristic clinical decision clinical parameter clinical variable collected Comorbidities coronavirus 2 (SARS-CoV-2) COVID-19 COVID-19 pandemic COVID-19 patient COVID-19 positive patient D-dimer demographic develop evaluated female ferritin Hospital admission ICU ICU admission identify independent Infection intensive care Laboratory test lactate dehydrogenase Lung infection Lymphocytes machine learning algorithm Machining material measure Mortality New York oxygen saturation Patient performance physician Pneumonia predict predicted prediction Predictive predictor Primary outcome procalcitonin Protein pulse Retrospective study ROC Symptoms temperature translation university vitals with COVID-19 [DOI] 10.7150/ijms.51235 PMC 바로가기 [Article Type] Research Paper