Application of Machine Learning Models in Predicting Malaria Prevalence in Nigeria: An Analysis of the 2015-2020 Demographic and Health Surveys
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 17, 2025
Abstract
Malaria
is
a
major
public
health
problem,
especially
in
sub-Saharan
Africa
and
other
developing
countries,
where
majority
of
malaria
cases
deaths
occur.
This
study
developed
machine
learning
(ML)
model
to
accurately
diagnose
rural
communities
Nigeria,
based
on
patients’
symptoms
clinical
information,
using
low-cost
readily
available
diagnostic
tools.
The
was
trained
2020
Nigerian
Demographic
Health
Surveys
(NDHS)
Program
Geospatial
Covariate
datasets
containing
information
patients
Nigeria.
ML
approaches
were
preferred
over
traditional
statistical
methods
due
their
ability
handle
high-dimensional,
non-linear
relationships
interactions
among
diverse
set
variables.
Regression
based-algorithms
used
identify
predict
patterns
as
continuous
outcome
allowing
finer-grained
spatial
demographic
insights
than
binary
classification
would
predict.
models
underwent
rigorous
validation
cross
holdout
testing
assess
generalizability
minimize
overfitting.
closeness
the
predicted
incidence
scores
experimental
indicates
robustness
model.
coefficient
determination
Random
Forest
Regressor
(RFR),
Multiple
Linear
(MLR),
Ridge
0.9937,
0.9916,
0.9924
respectively
for
test
set.
demonstrates
competence
models'
prediction
abilities.
RFR
model's
curve
results
showed
recurring
pattern.
performance
dataset
consistently
improved
volume
data
increased.
By
shifting
from
reactive
diagnostics
proactive
risk
prediction,
authorities
can
more
effectively
allocate
resources,
improve
intervention
timing,
reach
underserved
with
precision.
Language: Английский
What do women in the highest malaria burden country know about ways to prevent malaria? A multi-level analysis of the 2021 Nigeria Malaria Indicator Survey data
Malaria Journal,
Journal Year:
2024,
Volume and Issue:
23(1)
Published: Nov. 28, 2024
Language: Английский