Health
systems
worldwide
have
an
unprecedented
opportunity
to
enhance
healthcare
service
delivery
due
the
rapid
development
of
emerging
digital
technologies.
Many
advancements
been
made
in
medical
field,
with
deep
learning
proving
particularly
useful
when
applied
a
large
enough
number
well-defined
samples.
Although,
this
aspect
may
make
harder
implement
settings
limited-size
datasets.
In
study,
we
present
new
method
chronic
kidney
disease
detection
(CKDD)
by
combining
Generative
Adversarial
Networks
(GAN)
Convolutional
Neural
(CNN).
Afterward,
synthetic
sample
data
was
created
using
GAN,
which
enlarged
dataset.
Subsequently,
processing
these
samples,
CNN
classifier
applied.
According
experimental
assessments,
suggested
CKDD-GAN
methodology
accuracy
is
superior
without
GAN
technique.
Moreover,
proposed
CKDD-GAN-based
model
outperformed
98.10%.
Even
though
standard
samples
seemed
improve
classification
performance,
GAN-based
enhancements
resulted
2.91%
improvement.
implementations
for
detecting
are
highly
beneficial
since
they
also
increase
awareness
about
its
possible
uses
various
other
diseases.
BMC Medical Imaging,
Год журнала:
2024,
Номер
24(1)
Опубликована: Фев. 27, 2024
Abstract
Background
Asymptomatic
COVID-19
carriers
with
normal
chest
computed
tomography
(CT)
scans
have
perpetuated
the
ongoing
pandemic
of
this
disease.
This
retrospective
study
aimed
to
use
automated
machine
learning
(AutoML)
develop
a
prediction
model
based
on
CT
characteristics
for
identification
asymptomatic
carriers.
Methods
were
from
Yangzhou
Third
People’s
Hospital
August
1st,
2020,
March
31st,
2021,
and
control
group
included
healthy
population
nonepizootic
area
two
negative
RT‒PCR
results
within
48
h.
All
images
preprocessed
using
MATLAB.
Model
development
validation
conducted
in
R
H2O
package.
The
models
built
six
algorithms,
e.g.,
random
forest
deep
neural
network
(DNN),
training
set
(
n
=
691).
improved
by
automatically
adjusting
hyperparameters
an
internal
306).
performance
obtained
was
evaluated
dataset
Suzhou
178)
under
curve
(AUC),
accuracy,
sensitivity,
specificity,
positive
predictive
value
(PPV),
(NPV)
F1
score.
Results
A
total
1,175
high
stability.
Six
developed,
DNN
ranked
first,
AUC
0.898
test
set.
PPV,
NPV,
score
accuracy
0.820,
0.854,
0.849,
0.826,
0.834
0.837,
respectively.
plot
local
interpretable
model-agnostic
explanation
demonstrated
how
different
variables
worked
identifying
Conclusions
Our
demonstrates
that
AutoML
can
be
used
identify
most
promising
clinical
implementation
is
DNN-algorithm-based
model.
Decision Making Advances,
Год журнала:
2024,
Номер
2(1), С. 274 - 281
Опубликована: Июль 7, 2024
Blockchain
technology,
originating
with
Bitcoin
in
2008,
has
evolved
significantly,
expanding
beyond
its
initial
purpose
of
facilitating
peer-to-peer
transactions.
This
paper
aims
to
explore
the
multifaceted
landscape
blockchain
technology
and
cryptocurrencies,
investigating
diverse
applications,
challenges,
future
directions,
implications.
The
objectives
include
analyzing
evolution
identifying
applications
across
industries,
addressing
challenges
such
as
scalability
regulatory
uncertainty,
proposing
directions
for
innovation.
Significantly,
blockchain's
decentralized
immutable
nature
offers
potential
solutions
longstanding
issues
finance,
supply
chain
management,
healthcare,
beyond.
Motivated
by
transformative
blockchain,
stakeholders
are
investing
research
development
overcome
harness
benefits.
Implications
need
collaboration
among
address
drive
innovation
reshape
industries.
In
conclusion,
while
faces
hurdles
ongoing
innovation,
offer
promising
opportunities
realizing
full
achieving
a
digital
future.
Bioengineering,
Год журнала:
2023,
Номер
10(6), С. 691 - 691
Опубликована: Июнь 6, 2023
Smart
Engineering
(SE)
describes
the
methods,
processes,
and
IT
tools
for
interdisciplinary,
system-oriented
development
of
innovative,
intelligent,
networked
products,
production
plants,
infrastructures
[...].
Journal of AOAC International,
Год журнала:
2024,
Номер
107(3), С. 519 - 528
Опубликована: Фев. 3, 2024
Abstract
Since
2019
the
world
has
been
in
a
combat
with
highly
contagious
disease
COVID-19
which
is
caused
by
rapid
transmission
of
SARS-CoV-2
virus
(severe
acute
respiratory
syndrome
coronavirus
2).
Detection
this
an
early
stage
helps
to
control
its
spread
and
management.
To
epidemic
one-time
effective
medication,
improved
quick
analytical
procedures
must
be
developed
validated.
The
requirement
for
accurate
precise
methods
diagnosis
antibodies
infected
patients
matter
concern.
global
impact
motivated
scientists
researchers
investigate
develop
various
diagnostic
techniques.
This
review
includes
study
standard
are
reliable
accredited
recognition
said
virus.
For
detection
RNA,
RT-PCR
(Real-time
reverse
transcriptase-polymerase
chain
reaction)
method
among
other
and,
thus,
considered
as
“gold
standard”
technique.
Here,
we
outline
most
extensively
used
diagnosing
COVID-19,
along
brief
description
each
technique
aspects/perspective.
International Journal on Advanced Science Engineering and Information Technology,
Год журнала:
2024,
Номер
14(1), С. 99 - 106
Опубликована: Фев. 12, 2024
The
Ge
Nose
C19
medical
device
gasket
is
a
product
from
manufacturing
company
in
Yogya.
Gaskets
must
be
of
good
quality
to
ensure
vacuum
or
prevent
air
leakage
entering
the
test
chamber.
core
problem
production
process
many
rejects
and
quantity
not
yet
meeting
target.
observation
results
show
that
reject
found
four
holes
are
formed,
which
do
match
dimensions
torn.
Making
made
neoprene
rubber
done
through
drilling
process,
can
risk
tearing
damage.
type
drill
bit
used
affect
success
holes.
making
using
piercing
method
thought
able
increase
products.
This
research
aims
19
gaskets
tool.
Research
methods
include
identification,
literature
study,
design,
manufacture,
testing
tools.
parameters
time
quality,
namely
shape
position
hole.
this
reduction
cycle
hole-making
by
53.7%,
so
capacity
has
increased
51.8%.
increased;
40
samples
tested,
0
were
rejected.
