International Journal of Advanced Technology and Engineering Exploration,
Год журнала:
2023,
Номер
10(106)
Опубликована: Сен. 30, 2023
Over
the
past
few
years,
various
researchers
have
applied
machine
and
deep
learning
(DL)
techniques
to
predict
several
diseases,
including
cancer,
heart
disease,
Parkinson's
diabetes,
asthma,
brain
tumors,
obesity,
skin
conditions,
COVID-19,
Alzheimer's
pneumonia,
crop
diseases.According
World
Health
Organization
(WHO)
statistics,
or
cardiovascular
diseases
are
responsible
for
more
deaths
worldwide
than
any
other
accounting
31%
of
all
deaths.In
United
States
(US),
this
disease
is
cause
one
in
every
four
deaths,
with
person
dying
from
it
36
seconds
[13].In
India,
number
due
reached
approximately
4.8
million
2020,
a
significant
increase
2.26
recorded
1990.Recent
projections
indicate
that
India
on
track
become
leader
incidence
[13].
2022 International Conference on Inventive Computation Technologies (ICICT),
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 24, 2024
The
Machine
learning
model
learns
from
given
input
data
and
make
decisions
or
predictions
without
requiring
any
type
of
explicit
programming.
models
can
observe
trends,
gain
knowledge
past
mistakes,
gradually
enhance
their
performance.
utilization
machine
is
increasing
in
daily
life
especially
medical
field
for
diagnosing
a
disease.
incorporation
into
the
quickly
changing
healthcare
landscape
has
become
increasingly
pivotal
enhancing
diagnostic
accuracy
personalized
patient
care.
study
all
about
preparation
an
ensemble
that
made
predicting
various
diseases,
leveraging
insights
gleaned
diverse
array
laboratory
tests.
Three
potent
models,
including
`random
forest,
extreme
gradient
boost,
light
are
included
model.
research
highlights
how
influencing
experiences
with
larger
way
addition
to
concentrating
on
creation
assessment
accurate
disease
prediction.
developed
intends
showcase
capabilities
handling
complex
delivering
reliable
predictions.
Technology and Health Care,
Год журнала:
2024,
Номер
32(6), С. 5025 - 5045
Опубликована: Сен. 20, 2024
Heart
disease
represents
the
leading
cause
of
death
globally.
Timely
diagnosis
and
treatment
can
prevent
cardiovascular
issues.
An
Electrocardiograms
(ECG)
serves
as
a
diagnostic
tool
for
identifying
heart
difficulties.
Cardiovascular
Disease
(CVD)
often
gets
identified
through
ECGs.
Deep
learning
(DL)
garners
attention
in
healthcare
due
to
its
potential
swiftly
diagnosing
ECG
anomalies,
crucial
patient
monitoring.
Conversely,
automatic
CVD
detection
from
ECGs
poses
challenging
task,
wherein
rule-based
models
usually
achieve
top-notch
performance.
These
encounter
complications
supervision
vast
volumes
diverse
data,
demanding
widespread
analysis
medical
capability
ensure
precise
diagnosis.
International Journal of Advanced Technology and Engineering Exploration,
Год журнала:
2023,
Номер
10(106)
Опубликована: Сен. 30, 2023
Over
the
past
few
years,
various
researchers
have
applied
machine
and
deep
learning
(DL)
techniques
to
predict
several
diseases,
including
cancer,
heart
disease,
Parkinson's
diabetes,
asthma,
brain
tumors,
obesity,
skin
conditions,
COVID-19,
Alzheimer's
pneumonia,
crop
diseases.According
World
Health
Organization
(WHO)
statistics,
or
cardiovascular
diseases
are
responsible
for
more
deaths
worldwide
than
any
other
accounting
31%
of
all
deaths.In
United
States
(US),
this
disease
is
cause
one
in
every
four
deaths,
with
person
dying
from
it
36
seconds
[13].In
India,
number
due
reached
approximately
4.8
million
2020,
a
significant
increase
2.26
recorded
1990.Recent
projections
indicate
that
India
on
track
become
leader
incidence
[13].
