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Deep Learning - Coggle Diagram
Deep Learning
algorithms
thermography images
The YOLOv4-Tiny object detector
regions-of-interest (ROIs)
optical flow (OF) algorithm
DL-based algorithm
artificial neural network (ANN)
multilayer perceptrons
YOLOv4 convolutional neural
network
convolutional neural networks
(CNNs)
natural language processing
computer vision
ECG Lead II
MIT-BIH arrhythmia database
deep learning approaches
VGG-19
DenseNet-121
MobileNet
NASNet (Neural Architecture Search Net- work)
Xception
EfficientNet
QRS detection algorithm
ONNX (Open Neural Network
Exchange Format
K nearest neighbor
Naive Bayes
decision tree
random forest
recurrent neural network (RNN
long short-term memory (LSTM)
model
logistic regression (LR
extra tree classifier (ETC
stochastic gradient descent (SGD)
Gaussian Naive Bayes (GNB)
deep convolutional neural network
(DCNN
Rain optimization algorithm (ROA)
whale opti- mization algorithm (WOA)
respiratory disease
COVID-19 disease
thermometers
pulse oximeters
smartwatches
rings
viruses
fungi
parasites
bacteria
tuberculosis
diphtheria
bacterial pneumonia
viral pneumonia
chest radiography
methods
radar
CT scans
X-rays
ultrasounds
biosensors
near-infrared spectroscopy (NIRS)
These symptoms
fever
headache
fatigue
lethargy
volumetric heart segmentation
breast cancer
improve patient care
computed tomography (CT) scans
cardiovascular radiology
treatment planning
radiation oncology
segmentation time
agreement between experts
accuracy with and without deep-learning assistance
multi-center data
radiation therapy
Medical knowledge
exponentially
healthcare
specialized expert
high-resource medical centers
healthcare disparities
benefit
imaging- related specialties
organ
tumor
segmented
artery disease
heart failure7
highest anatomic expertise
dedi- cated image acquisition
reconstruction
analysis techniques
accurate treatment planning
cardiac radiation dose
mobile health application
mobile sensor data
prevalence of obesity in adolescents
body mass index (BMI),
the motion sensors of a smartphone
mHealth application
high BMI group
nonobese
obese
the National Heart, Lung, and Blood Institute
potential health risks
heart disease
type 2 diabetes
high blood pressure
obesity epidemic
influence an individual’s manner of walking
joint and walking velocities
the movements of the ankle joint speed
peak extensor knee moments
knee joint loads
The human balance
sensorimotor
musculoskeletal systems
control vision
proprioception
vestibular function
muscle contraction
diagnose disorders
diseases related to the nervous system
ataxia
cognitive deficits
Parkinson’s disease
vision problems
Alzheimer
walking balance
human postural balance
visual
vestibular
musculoskeleta
has experienced a stroke
lower limb
back injury
treating childhood obesity
management of obesity disease
improving the effectiveness
efficiency of overall healthcare
self-care efforts
cardiovascular diseases (CVDs)
coronary heart disease
cerebrovascular disease
rheumatic heart disease
various heart
blood vessel issues
Cardiac Valvular Diseases
Pericardial Diseases
Cardiac Muscular Diseases
Congenital Heart Diseases
smart footwear
detecting walking behaviour
piezoelectric pressure sensors
accelerometer returning reading
temperature sensor
implementation of different sensors
Internet of Things, IoT
Ant colony optimization (ACO)
increase in population
a critical subject
medicine
lung involvement
diagnostic tool
clinical decision-making
disease detection framework
correct
accurate
rapid outputs
accurate diagnoses
deaths from disease
Biometrics
Chest X-ray image
Biological fingerprints
clinical images
methods
posteroanterior (PA)
anteroposterior (AP)
X-ray images
surveillance system
real-time video stream- ing
Foscam
Y-cam
Netgear Arlo
Baby Cam
Critically ill patients
Acute Phys- iology and Chronic
Health Evaluation (APACHE)
Mortality Probability Model (MPM
Simplified Acute Physiology Score
(SAPS
Medical Information Mart for
Intensive Care (MIMIC)
eICU collaborative research
database
Electrocardiogram signal
An electrocardiogram (ECG)
machine
abnormalities in heart function
signal transformation
time-frequency
frequency domain features
ResNet
biorthogonal wavelet
transformation
E-ResNet
arrhythmia
ANSI/AAMI EC57 standard
normal pulse
supraventricular ectopic pulse
ventricular ectopic pulse
a fusion of ventricular and normal
pulse
paced pulse
long short-term memory
gated recurrent units
a deep residual network structure
Infrared thermography
fevers
body surface temperature (BST)
sensors
integration of sensors
medical adhesive-related skin
injuries (MARSI
sensitive skin
burn patients
infections
concepts
IoT
Artificial Intelligence
Big Data
Machine Learning
EHR data
vector machines
termed long short-term memory
cucustodial stodial care
physical
mental
sensory impairments
object detection
human activity recognition in
video
Alzheimer ’s disease
malnutrition
memory loss
Constant Therapy
Alz Calls
AmuseIT
Timeless
MindMate
MemoClock
It’s
Done!
Ode
Human Link
Dementia
Reminder applications
contactless method
skin temperature trend
measurement
extraction of respiration-related
chest
CCD camera
dermal perfusion
human activity recognition
Parkinson’s disease
bradykinesia
cognition and mood
Unified Parkinson’s Disease Rating
Scale (UPDRS
undetected or mischaracterized
multiple system atrophy
progressive supranuclear palsy
corticobasal degeneration
vascular parkinsonism
personal protective equipment
donning detection
a dress codes dataset
dataset of PPE
a medical headcover
medical goggles
inner medical mask
outer medical mask
medical protective clothing
medical protective gloves
medical protective foot covers
multilayer perceptron
K-fold cross-validation
ICU monitoring
Intensive care units (ICUs)
heart rate (HR),
blood pressure
respiratory rate (RR)
body temperature (BT)
hypo
hyperthermia
The World Health Organization (WHO)
SARS-CoV-2
a worldwide pandemic
2.6 million deaths
lockdown
mutating
new strains
COVID-19
breathing problems
heart infections
even death
Researchers have worked relentlessly to more
efficiently identify
measure
treat COVID-19
severe effects on both health and the economy
detection method
chest CT scans
the image processing algorithm
a new architecture
classification
pyramid network
ResNet50V2
examining images
(IQ-OTH/NCCD
tumorous
healthy
highest accuracy
new dataset
severe
mild cases
a unified framework by investigating issues
the modest appearance difference between moderate and severe instances
interpretability
high- and low-dimen- sional sample size (HDLSS) data
class imbalance
proposed framework
chest hierarchical segmentation
data augmentation
multitask multimodal SVM (MM-SVM)
linear discriminant analysis (LDA
ran- dom subspace ensemble (RSE
deep learning techniques
(RT-PCR
truncated VGG16
to automate a system
principal component analysis (PCA)
final catego- rization
deep convolutional neural network (DCNN
extreme learning machine (ELM)
online sequential ELM
bagging ensemble with support vector machine (SVM
intelligent lung tumor diagnostic system
a variety of image pro- cessing techniques
gray-level co-occurrence matrix technique
pathological
segmentation method
CT images
, including the ratio of infection
statistical texture features
mean
standard deviation
skewness
kurto- sis
gray-level co-occurrence matrix (GLCM)
and gray- level run-length matrix (GLRLM) texturization
Multi-label classification
image classification
personal protective equipment
donning detection
Cardiovascular disease prediction
binary models
assistive technology
artificial neural networks
camera-based vital sign
measurement
transfer learning