Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Сен. 15, 2023
Abstract
Text
mining
can
be
used
for
various
biological
and
medical
purposes.
In
this
work,
we
have
text
to
analyze
papers
related
Alzheimer's,
Asthma,
Cancer,
Diabetes,
Fabry,
syndrome
diseases
using
their
abstracts
extracting
from
the
gene
those
diseases.
case,
data
set
collected
sources
was
generated
manually
in
pilot
study.
The
articles
searched
through
PubMed,
Web
of
Science,
Medline.
Extremely
Boosted
Neural
Network
is
a
new
machine
learning
(ML)
algorithm
that
has
been
developed
recently
train
optimization
technique
integrate
tree-based
models
with
networks
(NN).
paper,
an
extremely
boosted
neural
network
utilized
as
novel
application
analysis
extract
information
about
We
benchmark
proposed
model
17
other
ML
models,
achieving
98%
accuracy.
This
significant
improvement
given
most
techniques
received
less
than
97%.
Heliyon,
Год журнала:
2024,
Номер
10(12), С. e32189 - e32189
Опубликована: Май 30, 2024
Meat
is
a
source
of
essential
amino
acids
that
are
necessary
for
human
growth
and
development,
meat
can
come
from
dead,
alive,
Halal,
or
non-Halal
animal
species
which
intentionally
economically
(adulteration)
sold
to
consumers.
Sharia
has
prohibited
the
consumption
pork
by
Muslims.
Because
activities
adulterators
in
recent
times,
consumers
aware
what
they
eat.
In
past,
several
methods
were
employed
authentication
Halal
meat,
but
numerous
drawbacks
attached
this
method
such
as
lack
flexibility,
limited
application,
time
,consumption
low
level
accuracy
sensitivity.
Machine
Learning
(ML)
concept
learning
through
development
application
algorithms
given
data
making
predictions
decisions
without
being
explicitly
programmed.
The
techniques
compared
with
traditional
fast,
flexible,
scaled,
automated,
less
expensive,
high
Some
ML
approaches
used
have
proven
percentage
authenticity
while
other
show
no
evidence
now.
paper
critically
highlighted
some
principles,
challenges,
successes,
prospects
meat.
International Journal of Molecular Sciences,
Год журнала:
2025,
Номер
26(2), С. 722 - 722
Опубликована: Янв. 16, 2025
The
COVID-19
pandemic
has
accelerated
advances
in
molecular
biology
and
virology,
enabling
the
identification
of
key
biomarkers
to
differentiate
between
severe
mild
cases.
Furthermore,
use
artificial
intelligence
(AI)
machine
learning
(ML)
analyze
large
datasets
been
crucial
for
rapidly
identifying
relevant
disease
prognosis,
including
COVID-19.
This
approach
enhances
diagnostics
emergency
settings,
allowing
more
accurate
efficient
patient
management.
study
demonstrates
how
algorithms
departments
can
identify
vital
prognosis
an
emerging
using
as
example
by
analyzing
clinical,
epidemiological,
analytical,
radiological
data.
All
consecutively
admitted
patients
were
included,
than
89
variables
processed
Random
Forest
(RF)
algorithm.
RF
model
achieved
highest
balanced
accuracy
at
92.61%.
most
predictive
mortality
included
procalcitonin
(PCT),
lactate
dehydrogenase
(LDH),
C-reactive
protein
(CRP).
Additionally,
system
highlighted
significance
interstitial
infiltrates
chest
X-rays
D-dimer
levels.
Our
results
demonstrate
that
is
critical
diseases,
accelerating
data
analysis,
optimizing
personalized
treatment,
emphasizing
importance
PCT
LDH
high-risk
patients.
Advanced Materials,
Год журнала:
2023,
Номер
36(4)
Опубликована: Ноя. 21, 2023
Circularly
polarized
luminescence
(CPL)
materials
have
garnered
significant
interest
due
to
their
potential
applications
in
chiral
functional
devices.
Synthesizing
CPL
with
a
high
dissymmetry
factor
(g
