A Machine Learning-Based Web Application for Heart Disease Prediction
Intelligent Control and Automation,
Год журнала:
2024,
Номер
15(01), С. 9 - 27
Опубликована: Янв. 1, 2024
This
work
leveraged
predictive
modeling
techniques
in
machine
learning
(ML)
to
predict
heart
disease
using
a
dataset
sourced
from
the
Center
for
Disease
Control
and
Prevention
US.
The
was
preprocessed
used
train
five
models:
random
forest,
support
vector
machine,
logistic
regression,
extreme
gradient
boosting
light
boosting.
goal
use
best
performing
model
develop
web
application
capable
of
reliably
predicting
based
on
user-provided
data.
classifier
provided
most
reliable
results
with
precision,
recall
F1-score
97%,
72%,
83%
respectively
Class
0
(no
disease)
21%
(precision),
81%
(recall)
34%
(F1-score)
1
(heart
disease).
further
deployed
as
application.
Язык: Английский
Understanding the complexity of a stroke care system through functional modelling and analysis
Human Factors in Healthcare,
Год журнала:
2024,
Номер
6, С. 100084 - 100084
Опубликована: Июль 14, 2024
Stroke
is
a
leading
cause
of
disability
and
death
worldwide.
Care
stroke
patients
both
complex
resource-intensive.
Understanding
this
complexity
crucial
for
improving
healthcare
delivery.
This
study
aimed
to
model
analyze
the
care
system.
Data
were
gathered
through
document
review
interviews
with
17
professionals
in
city
eastern
Canada.
The
Functional
Resonance
Analysis
Method
(FRAM)
was
employed
system,
identify
sources
variability,
propose
solutions
improve
identified
73
interconnected
functions
that
constitute
functional
system
spanning
from
preadmission
discharge.
illustrates
how
enter
receive
treatment,
transition
after
results
revealed
1)
staffing
ratio,
2)
health
staff
training,
3)
scheduling,
4)
documentation,
5)
equipment
space
are
significant
variability
These
findings
enable
focus
on
managing
changes
enhancing
their
ability
navigate
effectively.
Язык: Английский
A machine learning model to predict the risk factors causing feelings of burnout and emotional exhaustion amongst nursing staff in South Africa
BMC Health Services Research,
Год журнала:
2024,
Номер
24(1)
Опубликована: Дек. 31, 2024
The
demand
for
quality
healthcare
is
rising
worldwide,
and
nurses
in
South
Africa
are
under
pressure
to
provide
care
with
limited
resources.
This
demanding
work
environment
leads
burnout
exhaustion
among
nurses.
Understanding
the
specific
factors
leading
these
issues
critical
adequately
supporting
informing
policymakers.
Currently,
little
known
about
unique
associated
emotional
Africa.
Furthermore,
whether
can
be
predicted
using
demographic
data
alone
unclear.
Machine
learning
has
recently
been
proven
solve
complex
problems
accurately
predict
outcomes
medical
settings.
In
this
study,
supervised
machine
models
were
developed
identify
that
most
strongly
reporting
feelings
of
experiencing
exhaustion.
Язык: Английский
Employee Rights and Dignity During National Crisis: Experiences of Healthcare Workers in Zimbabwe During the Covid-19 Pandemic
Humanism in business series,
Год журнала:
2024,
Номер
unknown, С. 39 - 64
Опубликована: Янв. 1, 2024
Язык: Английский
Burnout among Health Educators in Sub-saharan Africa: A Comparative Study
International Journal For Multidisciplinary Research,
Год журнала:
2023,
Номер
5(6)
Опубликована: Дек. 30, 2023
This
paper
on
burnout
among
health
educators
provided
a
comparative
analysis
of
this
phenomenon
within
the
context
sub-Saharan
Africa
with
focus
Ghanaian
educators.
The
revealed
that
root
causes
in
Sub-Saharan
are
multifaceted.
Firstly,
these
professionals
often
face
heavy
workloads
and
long
working
hours
due
to
understaffing
limited
resources.
leads
chronic
stress
exhaustion,
ultimately
resulting
burnout.
Additionally,
inadequate
training
professional
development
opportunities
contribute
feelings
frustration
disillusionment
Ghana
has
taken
some
steps
address
government
implemented
policies
aimed
at
improving
conditions,
such
as
increasing
staffing
levels
providing
better
resources
for
healthcare
facilities.
efforts
have
been
made
enhance
programs
educators,
ensuring
they
necessary
skills
knowledge
perform
their
duties
effectively.
However,
despite
efforts,
there
still
inadequacies
addressing
One
major
challenge
is
lack
mental
support
services
professionals.
Burnout
issues
depression
anxiety
but
access
counseling
or
therapy
non-existent
many
parts
Africa.
Other
countries
also
recognized
importance
Some
similar
strategies
Ghana,
while
others
focused
promoting
healthy
work-life
balance
through
flexible
regular
breaks.
In
conclusion,
significant
problem
Africa,
being
particularly
affected.
statistics
highlight
urgency
issue.
While
progress
tackling
burnout,
need
be
addressed,
services.
region
emphasizing
comprehensive
collaborative
approach
combat
issue
Язык: Английский