Estimating Axial Bearing Capacity of Driven Piles Using Tuned Random Forest Frameworks
Geotechnical and Geological Engineering,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 28, 2024
Язык: Английский
Synergistic Effects of Platinum-Based Drugs and Curcumin on Liposomal Delivery in HSC-3 Oral Cancer Cells
Indian Journal of Clinical Biochemistry,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 6, 2025
Язык: Английский
AI augmented edge and fog computing for Internet of Health Things (IoHT)
PeerJ Computer Science,
Год журнала:
2025,
Номер
11, С. e2431 - e2431
Опубликована: Янв. 30, 2025
Patients
today
seek
a
more
advanced
and
personalized
health-care
system
that
keeps
up
with
the
pace
of
modern
living.
Cloud
computing
delivers
resources
over
Internet
enables
deployment
an
infinite
number
applications
to
provide
services
many
sectors.
The
primary
limitation
these
cloud
frameworks
right
now
is
their
limited
scalability,
which
results
in
inability
meet
needs.
An
edge/fog
environment,
paired
current
techniques,
answer
fulfill
energy
efficiency
latency
requirements
for
real-time
collection
analysis
health
data.
Additionally,
Things
(IoT)
revolution
has
been
essential
changing
contemporary
healthcare
systems
by
integrating
social,
economic,
technological
perspectives.
This
requires
transitioning
from
unadventurous
adapted
allow
patients
be
identified,
managed,
evaluated
easily.
These
techniques
data
sources
integrated
effectively
assess
patient
status
predict
potential
preventive
actions.
A
subset
Things,
Health
(IoHT)
remote
exchange
physical
processes
like
monitoring,
treatment
progress,
observation,
consultation.
Previous
surveys
related
mainly
focused
on
architecture
networking,
left
untouched
important
aspects
smart
optimal
such
as
artificial
intelligence,
deep
learning,
technologies,
includes
5G
unified
communication
service
(UCaaS).
study
aims
examine
future
existing
fog
edge
architectures
methods
have
augmented
intelligence
(AI)
use
applications,
well
defining
demands
challenges
incorporating
technology
IoHT,
thereby
helping
professionals
technicians
identify
relevant
technologies
required
based
need
developing
IoHT
healthcare.
Among
crucial
elements
take
into
account
framework
are
efficient
resource
management,
low
latency,
strong
security.
review
addresses
several
machine
learning
management
IoT,
where
(ML)
AI
crucial.
It
noted
how
narrow
band-IoT
(NB-IoT)
wider
coverage
Blockchain
security,
transforming
IoHT.
last
part
focuses
posed
services.
provides
prospective
research
suggestions
enhancing
order
give
improved
quality
life.
Язык: Английский
The Effect of Rabdosia rubescens on Radiotherapy-Induced Oral Mucositis in Nasopharyngeal Carcinoma Patients: A Phase II Clinical Study
Integrative Cancer Therapies,
Год журнала:
2025,
Номер
24
Опубликована: Янв. 1, 2025
Purpose:
Radiotherapy-induced
oral
mucositis
is
the
most
common
side
effect
in
nasopharyngeal
carcinoma
(NPC)
patients.
We
aimed
to
evaluate
efficacy
and
safety
of
Rabdosia
rubescens
drop
pills
NPC
patients
with
radiation-induced
(RTOM).
Methods:
The
study
involved
40
who
were
given
thrice
daily
from
start
radiation
therapy.
monitored
incidence
severity
pain.
main
outcomes
measured
occurrence
rate
mucositis,
grade
3
pain
assessment,
changes
immunological
function,
body
weight,
BMI,
NRS2002,
albumin
levels.
Results:
In
study,
38
completed
treatment.
rates
Grade
0
5.26%,
21.05%,
47.37%,
26.32%
respectively.
Pain
levels
mild
(42.11%),
moderate
(13.16%),
severe
(13.16%).
onset
1,
2,
occurred
at
18,
24,
30
days
was
associated
NRS2002
score,
Post-treatment,
there
a
decrease
CD4
+
/CD8
,
CD3
immune
cells,
but
an
increase
CD8
cells.
Mild
gastrointestinal
adverse
events
observed
13.2%
Conclusion:
administration
can
reduce
radiotherapy
induced
mucositis.
Our
finding
suggested
positive
impact
drops
upon
Язык: Английский
Optimized decision tree algorithms to estimate ultimate strain of concrete wrapped by aramid fiber-reinforced polymer
Multiscale and Multidisciplinary Modeling Experiments and Design,
Год журнала:
2025,
Номер
8(4)
Опубликована: Март 1, 2025
Язык: Английский
Optimization of Interval Type-3 Fuzzy Inference Systems Using a Genetic Algorithm Applied to Medical Classification
Studies in computational intelligence,
Год журнала:
2025,
Номер
unknown, С. 381 - 394
Опубликована: Янв. 1, 2025
Язык: Английский
Application value of neutrophil to lymphocyte ratio and platelet to lymphocyte ratio in predicting stress ulcer after acute cerebral hemorrhage surgery
Clinical Neurology and Neurosurgery,
Год журнала:
2024,
Номер
246, С. 108557 - 108557
Опубликована: Сен. 16, 2024
Язык: Английский
Machine-Learning-Powered Information Systems: A Systematic Literature Review for Developing Multi-Objective Healthcare Management
Applied Sciences,
Год журнала:
2024,
Номер
15(1), С. 296 - 296
Опубликована: Дек. 31, 2024
The
incorporation
of
machine
learning
(ML)
into
healthcare
information
systems
(IS)
has
transformed
multi-objective
management
by
improving
patient
monitoring,
diagnostic
accuracy,
and
treatment
optimization.
Notwithstanding
its
revolutionizing
capacity,
the
area
lacks
a
systematic
understanding
how
these
models
are
divided
analyzed,
leaving
gaps
in
normalization
benchmarking.
present
research
usually
overlooks
holistic
for
comparing
ML-enabled
ISs,
significantly
considering
pivotal
function
criteria
like
precision,
sensitivity,
specificity.
To
address
gaps,
we
conducted
broad
exploration
306
state-of-the-art
papers
to
novel
taxonomy
IS
management.
We
categorized
studies
six
key
areas,
namely
systems,
treatment-planning
monitoring
resource
allocation
preventive
hybrid
systems.
Each
category
was
analyzed
depending
on
significant
variables,
uncovering
that
adaptability
is
most
effective
parameter
throughout
all
models.
In
addition,
majority
were
published
2022
2023,
with
MDPI
as
leading
publisher
Python
prevalent
programming
language.
This
extensive
synthesis
not
only
bridges
but
also
proposes
actionable
insights
ML-powered
Язык: Английский