Sparrow Search Algorithm (SSA) Based Feature Selection and Optimized Feed-Forward Neural Network (OFFNN) for Semen Quality Analysis
C. Shanthini,
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S. Silvia Priscila
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Lecture notes in networks and systems,
Journal Year:
2025,
Volume and Issue:
unknown, P. 669 - 682
Published: Jan. 1, 2025
Language: Английский
SAPNN: Self-attention Pyramidal Neural Network for Face Emotion Recognition with Multimodal Fusion
Madan Mohan Tito Ayyalasomayajula,
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Santhosh Bussa,
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Shahnawaz Khan
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et al.
Lecture notes in networks and systems,
Journal Year:
2025,
Volume and Issue:
unknown, P. 539 - 550
Published: Jan. 1, 2025
Language: Английский
Optimized CNN-BiLSTM with Attention: A High Performance Model for Predicting Heart Disease Using Cleveland and Framingham Datasets
K. Kayalvizhi,
No information about this author
S. Kanchana,
No information about this author
Silvia Priscila S
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et al.
Journal of Machine and Computing,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1195 - 1205
Published: Oct. 5, 2024
Worldwide,
some
17.9
million
survives
are
lost
each
year
due
to
heart
disease
(HD),
which
is
acknowledged
by
the
World
Health
Organisation
(WHO)
as
top
cause
of
mortality.
In
order
simplify
further
action,
HD
prediction—a
difficult
problem—can
give
a
computerised
estimate
level.
Improving
patient
outcomes
and
allowing
for
timely
medical
interventions
both
made
possible
early
detection
accurate
calculation
HD.
As
result,
prediction
has
garnered
great
deal
interest
from
healthcare
facilities
around
globe.
There
been
encouraging
progress
in
cardiac
illness
thanks
recent
developments
machine
learning
(ML).
Transparency
explainability,
addition
generalisability
robustness,
crucial
ML
models
be
used
therapeutic
settings.
The
efficient
diagnosis
numerous
diseases
was
greatly
aided
systems
based
on
Deep
Learning
(DL).
By
combining
Convolutional
Neural
Networks
(CNNs),
Bidirectional
Long
Short-Term
Memory
(BiLSTMs),
besides
Attention
Mechanisms
(CNN-AM),
this
paper
aims
build
strong
scheme.
Minimal
preparation
necessary
procedure.
To
extract
spatial
features,
CNN
used.
temporal
characteristics,
Bi-LSTM
Lastly,
filter
out
more
ighted
channel
output
classification,
two
ights
allotted
through
attention
mechanism.
proposed
model's
parameters
fine-tuned
using
new
optimisation
approach
known
Newton-Raphson-based
Optimiser
(NRO),
ultimately
leads
better
classification
accuracy.
With
accuracy
95.3%
Cleveland
dataset
98.1%
Framingham
dataset,
respectively,
optimised
CNN-BiLSTM-AM
model
demonstrated
best
performance
experimental
findings.
Language: Английский
A Randomized Clinical Trial Comparing Visual Inspection with Acetic Acid (VIA) to Pocket Colposcopy for the Triage of HPV+ women living with HIV in Kisumu, Kenya
Mary Elizabeth Dotson,
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E. P. Steinberg,
No information about this author
Maria Santos
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et al.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 5, 2024
Abstract
Objective
The
World
Health
Organization
recommends
a
“screen,
triage,
treat”
approach
for
cervical
cancer
screening
Women
Living
with
HIV
(WLWH)
in
resource-limited
settings,
Human
Papillomavirus
(HPV)
testing
preferred
screening.
We
assessed
the
use
of
Pocket
colposcope
as
an
adjunct
tool
to
Visual
Assessment
Acetic
Acid
(VIA)
triage
HPV+
WLWH.
Methods
carried
out
randomized
clinical
trial
across
six
clinics
Kisumu,
Kenya
between
November
2022
and
April
2023
(
NCT04998318
).
WLWH
who
screened
positive
self-collected
HPV
were
either
VIA
or
arm.
Exam
positivity
was
determined
by
presence
absence
aceto-white
epithelium
(AWE).
Directed
biopsies
performed
on
AWE;
if
negative,
two
random
taken.
Pathology
used
determine
diagnostic
accuracy.
Providers
participants
took
brief
surveys
after
each
exam.
Findings
rate
exams
17.3%
compared
14.3%
Pocket.
overall
CIN2/3
15.4%,
12.2%
Arm
is
18.8%
Arm.
comparably
all
sensitivity,
specificity
negative
predictive
value
(NPV).
For
VIA,
Sensitivity
26.3%
vs
25.0%;
88.9%
84.0%;
NPV
82.9%
87.1%.
However,
(PPV)
arm
almost
factor
higher
than
that
(Pocket
PPV
375
20.6%).
Colposcope
acceptable
providers
patients
clinic-based
positivity.
Conclusion
Provider
assessment
detected
significantly
more
treatable
disease,
thereby
reducing
need
overtreatment.
This
study
indicates
feasible,
lower
cost
colposcopic
device,
which
could
facilitate
biopsy-confirmation
increase
provider
training,
patient
education
remote
diagnosis.
Language: Английский