Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 49 - 86
Опубликована: Дек. 13, 2024
In
order
to
forecast
nine
deadly
diseases,
including
blood
pressure,
diabetes,
hepatitis,
and
kidney
disorders,
seven
machine
learning
classification
algorithms
were
utilised
in
this
work:
adaptive
boosting,
Random
Forest,
Decision
Trees,
Support
Vector
Machines,
Naïve
Bayes,
Artificial
Neural
Networks,
K-Nearest
Neighbour.
Performance
criteria
such
as
Accuracy,
Precision,
Recall
are
employed
evaluate
the
efficacy
of
proposed
model.
Four
measures
used
assess
classifiers'
performance:
accuracy,
precision,
recall,
precision.
The
present
healthcare
model
reaches
a
minimum
accuracy
82.3%
maximum
95.7%
for
each
condition.
Every
disease
has
precision
81.4%
95.7%,
well
recall
64.3%
90.3%
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 308 - 326
Опубликована: Фев. 9, 2024
This
chapter
explores
the
ever-changing
environment
of
wearable
health
technology
and
its
critical
role
in
transforming
modern
healthcare.
It
goes
into
historical
history
these
devices,
tracking
their
path
from
basic
fitness
trackers
to
sophisticated
health-monitoring
systems,
focusing
on
proactive
preventative
management.
The
present
scene
emphasizes
range
breadth
accessible
discusses
sensor
improvements,
biometric
monitoring,
wireless
communications.
These
advancements
have
significantly
improved
precision
effectiveness
monitoring
numerous
markers.
also
thoroughly
reviews
use
devices
remote
patient
emphasizing
revolutionary
influence
chronic
illness
management
senior
care
through
real-world
case
studies.
Furthermore,
investigates
integration
device
data
healthcare
systems
for
real-time
covering
technological
infrastructure
issues.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 223 - 241
Опубликована: Фев. 9, 2024
This
chapter
explores
the
crucial
responsibility
of
strengthening
cybersecurity
measures
within
ever-changing
context
contemporary
healthcare
systems.
As
digitalization
gets
ingrained
in
practices,
sensitive
medical
data
becomes
increasingly
vulnerable
to
cyber-attacks.
The
second
portion
significant
effects
breaches
on
industry,
focusing
patient
safety
issues,
potential
compromises
private
health
information,
and
resulting
harm
organizations'
finances
reputations.
third
segment
examines
compliance
with
laws
like
HIPAA
GDPR
as
it
navigates
ethical
regulatory
issues
inherent
cybersecurity.
It
moral
conundrums
raised
by
precautions,
achieving
a
careful
balance
between
confidentiality
accessibility.
last
section
provides
forward-looking
viewpoint
projecting
upcoming
difficulties
technological
developments
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 20 - 45
Опубликована: Фев. 9, 2024
Serious
games
offer
an
innovative
blend
of
entertainment
and
learning
in
medical
education.
This
chapter
examines
the
technological
underpinnings,
challenges,
potential
future
developments
this
domain.
Drawing
from
publications
between
2018
2023,
systematic
review
highlights
role
technologies
such
as
web
mobile
applications,
game
engines,
augmented
reality,
virtual
mixed
artificial
intelligence
personalizing
enhancing
experience.
However,
use
serious
education
also
faces
several
including
need
for
adequate
infrastructure,
complex
effectiveness
assessments,
integration
into
existing
curricula.
Moreover,
outlines
projections
further
research.
The
authors
reveal
how
have
to
transform
be
more
engaging,
interactive,
effective,
inspire
research
development
methods.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 283 - 307
Опубликована: Фев. 9, 2024
The
rapidly
evolving
field
of
telemedicine
is
transforming
the
accessibility
and
delivery
healthcare.
This
chapter
delves
into
how
enhances
healthcare
access,
brings
treatment
patients'
homes,
addresses
care
deficits
in
underdeveloped
areas.
It
covers
key
facets
telemedicine,
including
store-and-forward
methods,
remote
patient
monitoring,
teleconsultation
across
various
medical
conditions.
Significantly,
emerged
as
a
crucial
approach
to
adhere
social
distancing
norms
while
providing
during
COVID-19
pandemic.
evaluates
benefits
applications
compared
traditional
in-person
consultations,
focusing
on
cost-effectiveness,
time
efficiency,
its
importance
areas
lacking
local
providers.
Additionally,
it
examines
factors
successful
implementation
such
digital
readiness,
competency
patients
professionals,
regulatory
frameworks
governing
exchange
use
data.
Advances in business information systems and analytics book series,
Год журнала:
2024,
Номер
unknown, С. 72 - 94
Опубликована: Июнь 28, 2024
The
fusion
of
IoT
and
AI
encompasses
given
rise
to
a
new
concept
-
artificial
intelligence
driven
(AIIoT).
AIIoT
is
the
intersection
IoT,
where
algorithms
are
used
assess
data
collected
by
devices,
improving
their
effectiveness
intelligence.
AIIoT-based
agriculture
has
become
outcome
opportunities
for
agricultural
automation
that
this
technology
made
possible.
Agriculture
powered
revolutionising
sector.
It
could
lead
higher
output,
lower
expenses,
better
sustainability.
need
food
will
only
grow
as
2050,
it
expected
there
be
9.7
billion
people
on
planet.
In
addition
meeting
demand,
can
help
with
resource
scarcity
climate
change
issues.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 136 - 155
Опубликована: Фев. 9, 2024
Using
artificial
intelligence
(AI)
to
its
transformative
advantage,
the
smart
vision
initiative
represents
a
paradigm
shift
in
diagnostics
and
treatment
of
diabetic
retinopathy.
The
primary
aim
this
is
address
all
forms
retinopathy
using
cutting-edge
AI
techniques,
including
deep
neural
networks
machine
learning.
These
advanced
algorithms
are
designed
for
rapid
precise
diagnosis,
enabling
swift
interventions
prevent
visual
impairment
by
identifying
intricate
patterns
that
invisible
human
eye.
Through
identification
complex
eye,
these
guarantee
quick
accurate
diagnosis.
This
early
detection
crucial
as
it
allows
immediate
care,
significantly
reducing
risk
irreversible
loss.
sets
stage
future
where
no
longer
leads
blindness,
offering
brighter,
clearer,
safer
optical
those
affected
condition.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 201 - 221
Опубликована: Фев. 9, 2024
Ensuring
human
health
safety
necessitates
rigorous
biosafety
evaluations
of
substances
and
materials,
particularly
in
the
context
in-vivo
exposure.
Biodegradable
known
for
their
natural
decomposition
capabilities
through
biological
mechanisms,
may
exhibit
toxicological
profiles
differing
from
non-biodegradable
substances.
Prior
to
application
medical
devices
such
as
stents
implants,
it
is
imperative
conduct
thorough
testing
ascertain
safety.
This
chapter
aims
provide
a
comprehensive
assessment
various
biodegradable
materials.
The
authors
employ
an
integrative
approach,
combining
in-vitro
ion-tolerance
assays
with
microanalysis
techniques.
dual
methodology
allows
detailed
evaluation
materials'
biocompatibility
potential
toxicity,
focusing
on
nanomaterial-induced
toxicity
neural
tissues.
These
findings
offer
critical
insights
into
safe
biomedical
underpinning
informed
decision-making
usage
applications.
Advances in healthcare information systems and administration book series,
Год журнала:
2024,
Номер
unknown, С. 242 - 260
Опубликована: Фев. 9, 2024
Assessing
the
preparedness
of
Ghana's
health
sector
is
a
crucial
task
that
requires
comprehensive
and
multi-faceted
approach.
faces
many
challenges,
including
limited
resources,
inadequate
infrastructure,
workforce
shortages,
which
can
impede
delivery
quality
healthcare
services
to
population.
Thus,
building
strong
resilience
system
essential
cope
with
catastrophic
events,
capacity
prepare
effectively
respond
pandemics.
The
COVID-19
pandemic
has
highlighted
critical
role
digital
technologies
in
managing
public
emergencies.
In
context
long-term
management,
transformation
provide
numerous
benefits,
such
as
improving
speed
efficiency
response,
enhancing
communication
collaboration,
enabling
remote
access
services.
Empirically,
our
study
found
individual
systemic
are
significant
predictors
management.
Conversely,
community
times
crisis
not
predictor.
Advances in environmental engineering and green technologies book series,
Год журнала:
2024,
Номер
unknown, С. 469 - 498
Опубликована: Июнь 28, 2024
There
are
two
components
to
the
assignment
of
pomegranate
disease
detection.
A
neural
network
model
is
created
in
first
part
process,
which
includes
image
acquisition,
labelling,
segmentation,
resizing,
stacking,
and
label
stacking.
The
then
trained
using
database
images.
second
component
framework
uses
developed
predict
classification.
implemented
a
leaf
dataset
that
split
into
training
test
sets.
suggested
approach
solving
issue
depends
on
creating
machine
learning-ml
algorithm
ANN
building
blocks
during
implementation
phase.
Advances in medical technologies and clinical practice book series,
Год журнала:
2024,
Номер
unknown, С. 257 - 282
Опубликована: Сен. 14, 2024
The
goal
of
this
effort
is
to
propose
a
real-time
IoT
based
heart
health
monitoring
system
that
combines
location
and
vital
sign
sensors
enable
remote
patient
status
prediction
using
variety
machine
learning
techniques.
We
proposes
pre-processing
performance
increase
the
classification
accuracy
ECG
signal.
An
Arduino-based
Heart
Health
measures
signs
like
rate,
body
temperature,
humidity,
was
created
demonstrated.
developed
can
send
recorded
data,
which
updated
every
10
seconds,
central
server.
