Predicting Heart Failure. Группа авторов

Graphite, 29QDsQuantum Dots, 28SEMScanning Electron Microscopy, 28SERSSurface-Enhanced Raman Scattering, 12SPEsScreen-Printed Electrodes, 28SPGEsScreen-Printed Gold Electrodes, 28SPRSurface Plasmon Resonance, 12SPRiSurface Plasmon Resonance Imaging, 12sST2Soluble Suppressor of Tumorgenicity 2, 8TGTriglycerides, 9TNF-α,Tumor Necrosis Factor-alpha, 7

       Chapter 4

AC	Alternative Current, 9
BSN	Body Sensor Network, 2 CE Counter Electrode, 5
CMT	Coupled-Mode Theory, 12
EDAS	European Aeronautic Defense and Space Company, 10
EM	Electromagnetic Interference, 11
EMF	Electromagnetic Field, 9
HPF	High-Pass Filter, 17
IoT	Internet of Things, 2
LPF	Low Pass Filter, 17
MEMS	Micro-Electromechanical Systems, 4
MPT	Microwave Power Transmission, 8
RE	Reference Electrode, 5
RF	Radio Frequency, 3
SHM	Structural Health Supervising, 2
SoC	System on a Chip, 5
VSWR	Voltage Standing Wave Ratio, 24
WBAN	Wireless Body Area Network, 2
WE	Working Electrode, 5

       Chapter 5

BCG	Ballistocardiography, 13
BLUE	Bedside Lung Ultrasound, 10
BNP	B-type Natriuretic Peptide, 14
C.A.USE	Cardiac Arrest Ultrasound Exam, 10
CHF	Chronic Heart Failure, 2
DNN	Deep Neural Network, 12
ECG	Electrocardiography, 3
EVLW	Extravascular Lung Water, 8
FALLS	Fluid Administration Limited by Lung Sonography, 10
GPS	Global Positioning System, 6
HF	Heart failure, 2
ICD	Implantable Cardioverter Defibrillator, 12
LuCUS	Lung and Cardiac Ultrasound, 10
LUS	Lung Ultrasound, 8
LV	Left Ventricular, 7
MEMS	Microelectromechanical System, 6
MFCCs	Mel-frequency Cepstral Coefficients, 12
NT-proBNP	Amino-terminal Pro-B-type Natriuretic Peptide, 14
PA	Pulmonary Arterial, 7
PCG	Phonocardiogram, 12
PPG	Photoplethysmogram, 14
RCTs	Randomized Control Trials, 15
ReDS	Remote Dielectric Sensing Technology, 5
RPM	Remote Patient Monitoring, 15
RV	Right Ventricular, 7
SCG	Seismocardiography, 12

       Chapter 6

ACM	All-cause Mortality, 8
AI	Artificial Intelligence, 3, 8
ANN	Artificial Neural Networks, 3,12
AUC	Area Under the Curve, 9
CAD	Coronary Artery Disease, 8
CCTA	Cardiac Computed Tomographic Angiography, 8
CMR	Cardiac Magnetic Resonance, 12
CNN	Convolutional Neural Networks, 12
DL	Deep learning, 12
ECG	Electrocardiogram, 9
FDA	Food and Drug Administration, 17
FFR	Fractional Flow Reserve, 9
FRS	Framingham Risk Score, 8
GAN	Generative Adversarial Networks, 11
GAN	Generative Adversarial Networks, 3
HFpEF	Heart Failure with Preserved Ejection Fraction, 10
HMM	Hidden Markov Model, 15
LASSO	Least Absolute Shrinkage and Selection Operator, 3
LV	Left Ventricle, 9
LVEF	Left Ventricular Ejection Fraction, 12
MDI	Modified Duke Index, 8
MFR	Myocardial Flow Reserve, 9
ML	Machine Learning, 3
MPI	Myocardial Perfusion Imaging, 15
MPS	Myocardial Perfusion Scan, 9
NER	Names Entity Recognition, 15
NLP	Natural Language Processing, 15
POS	Part of Speech, 15
PSA	Parsing or Syntactic Analysis, 15
RNN	Recurrent Neural Networks, 12
SIS	Segment Involvement Score, 8
SSS	Segment Stenosis Score, 8
STE	Speckle-tracking Echocardiography, 11
SVMs	Support Vector Machines, 8
TPD	Total Perfusion Deficit, 15
TTE	Transthoracic Echocardiogram, 12

       Chapter 7

DT	Decision Tree, 2
K-NN	K-Nearest Neighbor, 5
LDA	Linear Discriminant Analysis, 2
MAFIA	Maximal Frequent Itemset Algorithm, 4
NB	Naïve Bayes, 2
NN	Neural Networks, 4
RF	Random Forest, 2
SVM	Support Vector Machine, 2

       Chapter 8

AUPRC	Area Under Precision Recall curve, 10
AUROC	Area Under ROC Curve, 10
BNP	Brain Natriuretic Peptide, 4
CNN	Convolutional Neural Networks, 7
DAE	Denoising Autoencoder, 7
DBNs	Deep Belief Networks, 7
DT	Decision Tree, 7
ECG	Electrocardiogram, 3
EHR	Electronic Health Records, 5
EMB	Endomyocardial Biopsy, 7
ESC	European Society of Cardiology, 4
GBM	Gradient-boosted Model, 11
GRU RNNs	Gated Recurrent Unit Recurrent Neural Networks, 9
GWTG-HF	Get With The Guidelines-Heart Failure, 11
HF	Heart Failure, 2
KNNs	K-nearest Neighbors, 7
LAD	Left Atrial Dimension, 10
LR	Logistic Regression, 11
LSTM	Long Short-Term Memory, 7
MAGGIC	Meta-Analysis Global Group in Chronic, 11
ML	Machine Learning, 2
ReLU	Rectified Linear Unit, 8
RETAIN	REverse Time AttentIoN Model, 9
RF	Random Forest, 8
RNN	recurrent Neural Networks, 7
ROI	Regions of Interests, 8
RPM	Remote Patient Monitoring, 5
SVM	Support Vector Machine, 7
TAN	Tree-augmented Naive Bayesian, 11

       Chapter 9

AF	Atrial Fibrillation, 9
AFL	Atrial Flutter, 10
AUC	Area Under the Roc Curve, 8
BN	Bayes Network, 31
CART	Classification and Regression Trees, 15
CFS	Correlation-based Feature Selection, 31
CMR	Cardiac Magnetic Resonance, 6
CNN	Convolutional Neural Network, 9
CTCA	Computed Tomography Coronary Angiography, 6
DL	Deep Learning, 8
DNN	Deep Neural Network, 9
DUNs	Deep Unified Networks, 20
ECG	Electrocardiogram, 6
EF	Ejection Fraction, 5
EFFECT	Enhanced Feedback for Effective Cardiac Treatment, 10
EHR	Electronic Health Record, 8
ELM	Extreme Learning Machine, 10
ESC	European Society of Cardiology, 6
GDS	Generalized Discriminant Analysis, 16
GLM	Generalized Linear Model, 23
HF	Heart Failure, 1
HFmrEF	HF with Mid-range or Mildly Reduced EF, 5
HFpEF	Heart Failure with Preserved Ejection Fraction, 5
HFrEF	Heart Failure with Reduced Ejection Fraction, 5
HRV	Heart Rate Variability, 9
K-NN	K-nearest Neighbor, 8
LGE	Late Gadolinium Enhancement, 6
LMT	Logistic Model Trees, 31
LR	Logistic Regression, 8
LS-SVM	Least Square SVM, 9
LSTM	Long Short-term Скачать книгу В начало < 2 3 4 5 6 7 8 9 10 11 > В конец