An Exhaustive Inference of Machine Learning Applications in Healthcare
Advances in human services and public health (AHSPH) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 139 - 160
Published: Dec. 11, 2024
Machine
learning
has
become
an
important
tool
in
healthcare
research
to
solve
complex
classification
problems
effectively,
efficiently,
and
quickly.
Generally,
doctors
treat
patients
according
their
medical
knowledge
personal
experience.
Since
different
professionals
have
experiences,
they
may
sometimes
make
a
wrong
diagnosis
need
more
time
for
treatment.
Current
mainly
focuses
on
the
problem
of
classifying/predicting
data
based
machine
learning.
There
is
create
intelligent
structure
that
can
distribute
information
stored
database.
Human
analysis
capabilities
are
less
compared
storage.
This
case
records
because
it
helps
search,
diagnose,
individual
records.
paper's
main
goal
review
pre-researched
methodologies
techniques
analyze
diagnose
prevent
illnesses.
Finally,
these
articles
classified
data,
techniques,
performance
parameters.
Language: Английский
Neuromarketing and Sustainable Finance
Advances in business strategy and competitive advantage book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 169 - 204
Published: Oct. 18, 2024
Neuromarketing
is
crucial
in
sustainable
finance
as
it
helps
create
more
impactful
campaigns
by
understanding
and
influencing
the
subconscious
drivers
of
investor
behaviour,
thereby
increasing
engagement
with
adoption
green
investments.
This
article
delves
into
innovative
application
neuromarketing
within
field
finance,
focusing
on
real-world
case
studies
that
showcase
how
investment
promotions
have
successfully
influenced
behaviour.
Through
an
analysis
specific
campaigns,
this
study
reveals
techniques—such
brain
imaging,
eye-tracking,
emotional
analytics—have
been
utilized
to
craft
compelling
messages
resonate
investors
a
deeper,
level.
The
highlight
practical
outcomes
integrating
initiatives.
provides
valuable
insights
for
financial
institutions,
marketers
leverage
promote
investments
effectively,
ultimately
contributing
broader
goal
development.
Language: Английский
The Digital Circular Economy
Ridhima Goel,
No information about this author
Jagdeep Singla,
No information about this author
Sanjeet Kumar
No information about this author
et al.
Advances in e-business research series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 441 - 480
Published: Nov. 22, 2024
The
chapter
explores
the
intersection
of
circular
economy
principles
and
cutting-edge
digital
technologies
to
drive
sustainability
across
industries.
It
highlights
how
tools
such
as
Internet
Things
(IoT),
blockchain,
artificial
intelligence
(AI),
big
data
are
transforming
resource
efficiency,
waste
management,
supply
chains,
leading
innovative
scalable
solutions
for
environmental
economic
goals.
provides
a
comprehensive
analysis
eco-design,
product
life
extension,
industrial
symbiosis,
supported
by
case
studies
from
sectors
like
manufacturing
electronics.
Regulatory
frameworks
global
initiatives
promoting
circularity
examined
show
their
influence
on
business
models.
By
bridging
theory
practice,
offers
actionable
strategies
businesses
policymakers
accelerate
transition
towards
economy,
fostering
collaboration
sustainable
development.
Language: Английский
Fostering Sustainable Innovation Through Digital Transformation
Advances in finance, accounting, and economics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 353 - 372
Published: Nov. 29, 2024
The
convergence
of
digital
transformation
and
the
circular
economy
presents
unprecedented
opportunities
for
fostering
sustainable
innovation,
aligning
with
Sustainable
Development
Goal
9
(SDG
9)
–
“Industry,
Innovation,
Infrastructure.”
This
research
investigates
principles
explores
how
technologies,
such
as
artificial
intelligence
(AI),
blockchain,
Internet
Things
(IoT),
big
data
analytics,
can
drive
practices
across
industries.
By
focusing
on
application
within
frameworks,
this
paper
highlights
synergies
that
enhance
resource
efficiency,
reduce
environmental
impact,
promote
economic
growth.
examines
case
studies
multiple
sectors,
offering
insights
into
these
be
operationalized
to
achieve
both
sustainability.
It
also
analyzes
challenges
barriers
faced
by
industries
policymakers
proposes
strategies
integrating
solutions
in
line
broader
objectives
SDG
9.
Language: Английский
Innovative Financing Models and Future Directions in Healthcare
Advances in human services and public health (AHSPH) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 267 - 302
Published: Dec. 11, 2024
This
study
explores
innovative
financing
models
and
future
directions
in
healthcare,
with
a
focus
on
assessing
financial
impact
digital
health
outcomes
advancing
sustainable
healthcare
innovation.
As
technologies
like
AI,
IoT,
telemedicine
transform
patient
care,
the
need
for
adaptable
value-based
mechanisms
becomes
critical.
Traditional
models,
often
inadequate
rapid
pace
of
health,
are
compared
to
novel
approaches
such
as
public-private
partnerships,
outcome-based
financing,
tiered
pricing.
The
research
examines
how
these
can
drive
equitable
access,
incentivize
innovation,
improve
globally.
Through
evaluating
strategies,
this
provides
insights
into
scalable
frameworks
that
prioritize
both
fiscal
sustainability
impactful
outcomes,
paving
way
resilient,
technologically
integrated
ecosystem.
Language: Английский
Ethical, Privacy, and Security Issues in Smart Healthcare
Advances in human services and public health (AHSPH) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 83 - 98
Published: Dec. 11, 2024
Smart
healthcare
technologies
have
transformed
the
landscape,
promising
precision,
efficiency,
and
improved
patient
outcomes.
However,
these
advancements
bring
significant
ethical,
privacy,
security
challenges.
The
increased
use
of
AI
data-driven
systems
in
raises
questions
about
autonomy,
data
ownership,
informed
consent.
As
large
volumes
sensitive
health
are
generated,
ensuring
robust
measures
is
critical
to
protecting
privacy.
Moreover,
push
for
cost-effectiveness
often
conflicts
with
ethical
obligations,
necessitating
a
balanced
approach.
Health
economics
also
impacts
decision-making,
as
stakeholders
must
navigate
trade-offs
between
cost
containment
quality
care.
This
chapter
explores
complexities,
examining
frameworks
address
concerns.
Through
case
studies
regulatory
perspectives,
it
offers
insights
into
how
smart
can
responsibly
advance
while
safeguarding
rights
public
trust.
Language: Английский
Precision and Performance
S. C. Dileepkumar,
No information about this author
Ravindra Gouda,
No information about this author
Basavaraj Kumasi
No information about this author
et al.
Advances in human services and public health (AHSPH) book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 389 - 410
Published: Dec. 11, 2024
The
confluence
of
precision
medicine
and
advanced
healthcare
technologies
is
revolutionizing
sports
by
refining
diagnostics,
optimizing
therapeutic
interventions,
elevating
performance
metrics.
This
chapter
delves
into
the
transformative
role
smart
systems,
including
wearable
biosensors,
machine
learning
algorithms,
data-driven
analytics,
which
collectively
enable
a
nuanced
understanding
athletic
health.
By
enhancing
early
injury
detection
fostering
customized
rehabilitation
strategies,
these
epitomize
paradigmatic
shift
toward
individualized,
anticipatory
in
sports.
Our
analysis
elucidates
both
mechanistic
functionalities
physiological
implications
innovations,
promise
to
redefine
contours
resilience
human
potential.
Language: Английский