SVM
[대역어] SVM
[용어속성] Term
[용어속성] Term
Detection of COVID-19 using deep learning techniques and classification methods
Research article
[키워드] Accuracy
addition
AUC value
auxiliary
can be used
chain
classification
COVID-19
COVID-19 disease
COVID-19 patient
criteria
database
decision
deep learning
detection
Diagnosis
diagnosis of COVID-19
education
evaluated
examined
feature
forest
Naive Baye
PCR
radiologist
reaction
reduce
Resnet
ROC Curve
Spread
Support
support vector machine
SVM
the disease
the patient
Transmission
tree
was obtained
[DOI] 10.1016/j.ipm.2022.103025 [Article Type] Research article
[DOI] 10.1016/j.ipm.2022.103025 [Article Type] Research article
Combining metabolome and clinical indicators with machine learning provides some promising diagnostic markers to precisely detect smear-positive/negative pulmonary tuberculosis
대사체와 임상 지표를 기계 학습과 결합하면 도말 양성/음성 폐결핵을 정확하게 감지하는 몇 가지 유망한 진단 마커를 제공합니다.
Article
[키워드] Amino acid
Analysis
best
Biomarker
Biomarkers
cause
Characteristics
Combination
conducted
Control
controls
COVID-19
death
death case
death cases
detect
Diagnosis
diagnostic
diagnostic biomarker
Diagnostic biomarkers
discriminant analysis
dysfunction
enriched pathways
fatty
Fatty acid
feature
global pandemic
high accuracy
Infectious disease
machine
machine learning
marker
metabolisms
metabolite
metabolome
metabolomic
metabolomic analysis
metabolomic profiling
metabolomics
Mycobacterium tuberculosis
Mycobacterium tuberculosis (Mtb)
offer
Patient
patients
performed
plasma
Precision
provide
pulmonary tuberculosis
R package
random
Random forest
Seven
significant enrichment
smear
Smear-positive/negative pulmonary tuberculosis
Support
SVM
TB patient
three group
three groups
Tuberculosis
Tuberculosis (TB)
was performed
[DOI] 10.1186/s12879-022-07694-8 PMC 바로가기 [Article Type] Article
[DOI] 10.1186/s12879-022-07694-8 PMC 바로가기 [Article Type] Article
Serum peptidome profiles immune response of COVID-19 Vaccine administration
Article
[키워드] activated
acute respiratory syndrome
administration
Analysis
analyzed
Antigen
Biomarker
C1q
caused
CD59
CD99
Cellular immune response
clinical trials
collected
Complete
CoronaVac
coronavirus
Coronavirus disease 2019
COVID-19
COVID-19 vaccination
COVID-19 vaccine
Efficacy
Evidence
glycoprotein
help
hemoglobin
humoral
immune
immune response
immunization
immunogenicity analysis
individual
information
Laboratory
linear
Logistic regression
MALDI-TOF
membrane protein
NAb
neutralizing antibody
pandemic
participant
peptide
peptides
Peptidome
performed
Platelet
profile
Protein
provided
random
receiving
receptor
reported
Research
SARS-CoV-2
serum
serum sample
Significant
statistical analysis
subunits
Support
SVM
vaccination
Vaccine
Vaccines
[DOI] 10.3389/fimmu.2022.956369 PMC 바로가기
[DOI] 10.3389/fimmu.2022.956369 PMC 바로가기
Early prediction of COVID-19 patient survival by targeted plasma multi-omics and machine learning
Research article
Published on
Journal: Molecular & Cellular Proteomics : MCP [Category] COVID19(2023년), SARS, 바이오마커, 변종, 진단, 치료기술,
Journal: Molecular & Cellular Proteomics : MCP [Category] COVID19(2023년), SARS, 바이오마커, 변종, 진단, 치료기술,
[키워드] BSAbovine serum albumin COVID-19
Dickinson and Company
3-nitrophenylhydrazine
AAAamino acid analysis
Accuracy
ACDacid citrate dextrose
acetonitrile
acid citrate dextrose
ACNacetonitrile
Alpha 1-antichymotrypsin
Alpha-1-antichymotrypsin
amino acid analysis
analysis of variance
ANOVAanalysis of variance
APCS
APOA2
APOA4
APOH Beta-2-glycoprotein 1
Apolipoprotein A-IIAPOA4
Apolipoprotein A-IVAPOH Beta-2-glycoprotein 1
area under the curve
AUC
AUCarea under the curve
B2MBeta-2-microglobulin
BDBecton
Becton
Beta-2-microglobulin
BHTbutylated hydroxyl toluene
bovine serum albumin COVID-19
BQC19
building
butylated hydroxyl toluene
C-reactive protein
C1RLComplement C1r subcomponent-like protein
C2Complement C2
C3Complement C3
C4AComplement C4
C4b-binding protein alpha chain
C4BPAC4b-binding protein alpha chain
C5Complement C5
C7Complement C7
C9Complement C9
CAMPCathelicidin antimicrobial peptide
capillary zone electrophoresis
Carboxypeptidase B2
Cathelicidin antimicrobial peptide
CFBComplement factor B
CFHComplement factor H
Clinical Proteomic Tumor Analysis Consortium
Coagulation factor XIII A chain
Complement C1r subcomponent-like protein
Complement C2
Complement C3
Complement C4
Complement C5
Complement C7
Complement C9
Complement factor B
Complement factor H
Concentration
concentrations
Control
COVID-19 hospitalization
COVID-19 patient
CPB2Carboxypeptidase B2
CPTACClinical Proteomic Tumor Analysis Consortium
CRPC-reactive protein
CST3Cystatin-C
Cystatin-C
CZEcapillary zone electrophoresis
disease severity
dithiothreitol
DTTdithiothreitol
ECMOextracorporeal membrane oxygenation
extracorporeal membrane oxygenation
F13A1Coagulation factor XIII A chain
FAFormic acid
false discovery rate
FDRfalse discovery rate
FGAFibrinogen alpha chain
FGBFibrinogen beta chain
FGGFibrinogen gamma chain
Fibrinogen alpha chain
Fibrinogen beta chain
Fibrinogen gamma chain
FIVE
Formic acid
Gelsolin
Gene name /Protein nameAPCS
globe
GSNGelsolin
haptoglobin
Healthcare system
Heparin cofactor 2
Hospitalization
hospitalized COVID-19 patients
HPhaptoglobin
IAAiodoacetamide
ICUIntensive Care Unit
IGFALSInsulin-like growth factor-binding protein complex acid labile subunit
Insulin-like growth factor-binding protein complex acid labile subunit
intensive care unit
Inter-alpha-trypsin inhibitor heavy chain H2
Inter-alpha-trypsin inhibitor heavy chain H4
iodoacetamide
ITIH2Inter-alpha-trypsin inhibitor heavy chain H2
ITIH4Inter-alpha-trypsin inhibitor heavy chain H4
K3EDTAtripotassium ethylenediaminetetraacetic acid
L-(tosylamido-2-phenyl) ethyl chloromethyl ketoneTrisHCl
LC-MSliquid chromatography-mass spectrometry
LC/MRM-MSliquid chromatography/multiple reaction monitoring mass spectrometry
Leucine-rich alpha-2-glycoprotein
liquid chromatography-mass spectrometry
liquid chromatography/multiple reaction monitoring mass spectrometry
LLOQLower Limit of Quantitation
Lower Limit of Quantitation
LRG1Leucine-rich alpha-2-glycoprotein
lysoPClysophosphatidylcholine
lysophosphatidylcholine
MALDImatrix assisted laser desorption ionization
mass spectrometry
matrix assisted laser desorption ionization
MeOHmethanol
metabolite
methanol
Mortality
MSmass spectrometry
N-acetylmuramoyl-L-alanine amidase
Neuropilin-2
Non-survivors
NPH3-nitrophenylhydrazine
NRP2Neuropilin-2
patient survival
PBSPhosphatase buffered saline
PCAprincipal component analysis
PCRpolymerase chain reaction
PGLYRP2N-acetylmuramoyl-L-alanine amidase
phenylisothiocyanate
Phosphatase buffered saline
PITCphenylisothiocyanate
plasma
polymerase chain reaction
post-translational modification
predict
Predictive
PRG4Proteoglycan 4
principal component analysis
PROS1Vitamin K-dependent protein S
Protein
Proteoglycan 4
PTMpost-translational modification
QCquality control
Quality control
reversed phase ultrahigh performance liquid chromatography
robust
RP-UHPLCreversed phase ultrahigh performance liquid chromatography
SAA2Serum amyloid A-1 and A-2 proteins
SAA4Serum amyloid A-4 protein
SARS-CoV-2SIS
Scientific and Cultural Organization
Sequential Organ Failure AssessmentSPE
SERPINA1Alpha-1-antichymotrypsin
SERPINA3Alpha 1-antichymotrypsin
SERPIND1Heparin cofactor 2
Serum amyloid A-1 and A-2 proteins
Serum amyloid A-4 protein
Serum amyloid P-componentAPOA2
significant difference
SIS
SOFA
solid-phase extractionSVM
SPE
stable-isotope labeled internal standardSOFA
Stratification
Support Vector MachineTPCK
survival
survivor
SVM
The Universal Protein Resource
TPCK
Transthyretin
Treatment
tripotassium ethylenediaminetetraacetic acid
Tris (hydroxymethyl) aminomethane hydrochlorideUNESCO
TrisHCl
TTRTransthyretin
UNESCO
UniProtThe Universal Protein Resource
unique
United Nations EducationalScientific and Cultural Organization
Vascular cell adhesion protein 1
VCAM1Vascular cell adhesion protein 1
Vitamin K-dependent protein S
[DOI] 10.1016/j.mcpro.2022.100277 [Article Type] Research article
[DOI] 10.1016/j.mcpro.2022.100277 [Article Type] Research article
Integrated COVID-19 Predictor: Differential expression analysis to reveal potential biomarkers and prediction of coronavirus using RNA-Seq profile data
통합 COVID-19 예측자: RNA-Seq 프로필 데이터를 사용하여 잠재적인 바이오마커 및 코로나바이러스 예측을 밝히기 위한 차등 발현 분석
Article
Published on
Journal: Computers in biology and medicine [Category] COVID19(2023년), MERS, SARS, 바이오마커, 변종,
Journal: Computers in biology and medicine [Category] COVID19(2023년), MERS, SARS, 바이오마커, 변종,
[키워드] Accuracy
adjusted
Analysis
applied
association
bioinformatics
Biomarker
classification
Classifier
collected
Consensus
Control
coronavirus
COVID-19
COVID-19 cases
COVID-19 pandemic
DEGs
DESeq2
Differential expression analysis
differentially expressed gene
Differentially expressed genes
disease transmission
down-regulated genes
experiment
experimental analysis
expressed
feature
filtered
gene count
Genome
healthy
identify
input
intersection and union
issue
Limma
machine
machine learning
machine learning model
machine learning models
matter
moderate
P-value
pandemic
performed
Potential biomarker
potential biomarkers
predict
prediction
predictor
processed
RNA-Seq
SARS-CoV-2
SARS-CoV-2 virus
sequence
significantly
Spread
statistical
SVM
the SARS-CoV-2 virus
trend
up-regulated
viral disease
Virology
[DOI] 10.1016/j.compbiomed.2022.105684 PMC 바로가기 [Article Type] Article
[DOI] 10.1016/j.compbiomed.2022.105684 PMC 바로가기 [Article Type] Article
Novel Coronavirus and Common Pneumonia Detection from CT Scans Using Deep Learning-Based Extracted Features
딥 러닝 기반 추출 기능을 사용하여 CT 스캔에서 신종 코로나바이러스 및 일반적인 폐렴 감지
Article
[키워드] Accuracy
added
Algorithm
automatically
average
can be used
Chest CT
chest CT scan
Chest CT scans
China
Classifier
common
common cold
common pneumonia
conditions
Convolutional neural network
convolutional neural network (CNN)
Coronavirus pneumonia
COVID-19
COVID-19 detection
COVID-19 infection
dataset
deep
deep learning
deep learning features
detect
detection
develop
diagnose
Diagnosis
diagnostic test
Extracted
False-positive
feature
Health
highest
hospital
Image
individual
infecting
Intervention
investigation
knowledge
MONITOR
novel
Novel coronavirus
novel coronavirus pneumonia
pandemic
Pandemics
Pneumonia
Prevent
reduce
reported
required
Research
severity
Support
support vector machine
SVM
Symptom
Symptoms
the disease
the vaccine
time-consuming
treat
Vaccine
[DOI] 10.3390/v14081667 PMC 바로가기 [Article Type] Article
[DOI] 10.3390/v14081667 PMC 바로가기 [Article Type] Article
A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection
델타형 COVID-19 탐지를 위한 새로운 딥 러닝 및 앙상블 학습 메커니즘
Article
[키워드] Accuracy
acute respiratory syndrome
acute respiratory syndrome coronavirus
AI
Analysis
applicability
assumed
AUC
bottleneck
chest X-ray
Community
Confusion
confusion matrix
coronavirus
coronavirus disease
Coronavirus disease 2019
COVID-19
COVID-19 infection
deep
deep learning
defined
Delta-type COVID-19
detection
diagnosing
Diagnosis
disease
domain
dry cough
Dyspnea
Ensemble learning
ensemble learning technique
f-score
fatigue
Features
Fever
hybrid deep learning.
learning
morbidity
mortalities
Mortality
Non-invasive
novel
Novel coronavirus
novel coronavirus disease
ocular
Other
Patient
Performance metrics
Practitioner
practitioners
Precision
presenting
Radiographic
radiologist
recorded
Research
response
SARS-CoV-2
Support
support vector machine
SVM
Variation
VGG16
virus
X-ray
[DOI] 10.3389/fpubh.2022.875971 PMC 바로가기 [Article Type] Article
[DOI] 10.3389/fpubh.2022.875971 PMC 바로가기 [Article Type] Article
Machine learning approach for automated predicting of COVID-19 severity based on clinical and paraclinical characteristics: Serum levels of zinc, calcium, and vitamin D
Research article
[키워드] Accuracy
age
Algorithm
Algorithms
anorexia
approach
AUC
automated
Automated prediction
blood sample
can be used
cardiovascular disease
Characteristics
conducted
correlation
COVID-19
COVID-19 severity
cross-sectional
data set
decision
develop
disease severity
disease symptoms
Factor
FBS
feature
forest
Gender
indicated
investigated
machine
machine learning
novel coronavirus disease
outcome
parameter
Patient
Precision
Predictive model
recall
Result
Serum level
Severe case
severity
Standard therapy
statistical
support vector machine
SVM
Treatment
tree
[DOI] 10.1016/j.clnesp.2022.07.011 [Article Type] Research article
[DOI] 10.1016/j.clnesp.2022.07.011 [Article Type] Research article
Diagnosis and prognosis of COVID-19 employing analysis of patients’ plasma and serum via LC-MS and machine learning
LC-MS 및 머신러닝을 통한 환자의 혈장 및 혈청 분석을 통한 코로나19 진단 및 예후
Article
Published on
Journal: Computers in biology and medicine [Category] COVID19(2023년), MERS, SARS, 바이오마커, 변종, 진단, 치료기술,
Journal: Computers in biology and medicine [Category] COVID19(2023년), MERS, SARS, 바이오마커, 변종, 진단, 치료기술,
[키워드] Accuracy
acetyl
Algorithm
Analysis
analyzed
best
Biomarker
Biomarkers
caused
China
controls
COVID
COVID 19
COVID-19
COVID-19 diagnosis
COVID-19 patient
datasets
Diagnosis
evaluate
evaluated
fatality
glucosamine
greater
healthy volunteer
healthy volunteers
help
hospital
independent
l-ornithine
LC-MS
machine
machine learning
material
metabolite
methyl isobutyrate
negative RT-PCR
outcomes
Patient
patients with COVID-19
patients with pneumonia
phosphate
plasma
Pneumonia
predict
Prognosis
prognostic indicator
RT-PCR
Sample
SARS-CoV-2
serum
severity
significantly
SVM
the disease
uridine
virus
viruses
were used
with COVID-19
[DOI] 10.1016/j.compbiomed.2022.105659 PMC 바로가기 [Article Type] Article
[DOI] 10.1016/j.compbiomed.2022.105659 PMC 바로가기 [Article Type] Article