Journal of Clinical Medicine Research,
Journal Year:
2023,
Volume and Issue:
15(3), P. 133 - 138
Published: March 1, 2023
Different
machine
learning
(ML)
technologies
have
been
applied
in
healthcare
systems
with
diverse
applications.
We
aimed
to
determine
the
model
feasibility
and
accuracy
of
predicting
patient
portal
use
among
diabetic
patients
by
using
six
different
ML
algorithms.
In
addition,
we
also
compared
performance
only
essential
variables.This
was
a
single-center
retrospective
observational
study.
From
March
1,
2019
February
28,
2020,
included
all
from
study
emergency
department
(ED).
The
primary
outcome
status
use.
A
total
18
variables
consisting
sociodemographic
characteristics,
ED
clinic
information,
medical
conditions
were
predict
Six
algorithms
(logistic
regression,
random
forest
(RF),
deep
forest,
decision
tree,
multilayer
perception,
support
vector
machine)
used
for
such
predictions.
During
initial
step,
predictions
performed
variables.
Then,
chosen
via
feature
selection.
Patient
repeated
accuracies
(overall
accuracy,
sensitivity,
specificity,
area
under
receiver
operating
characteristic
curve
(AUC))
compared.A
77,977
unique
placed
our
final
analysis.
Among
them,
23.4%
(18,223)
mellitus
(DM).
found
26.9%
DM
patients.
Overall,
above
80%
five
out
RF
outperformed
others
when
(accuracy
0.9876,
sensitivity
0.9454,
specificity
0.9969,
AUC
0.9712).
When
eight
chosen,
still
0.9374,
0.9932,
0.9769).It
is
possible
outcomes
are
fair
accuracy.
However,
similar
prediction
accuracies,
selection
techniques
can
improve
interpretability
addressing
most
relevant
features.
Telematics and Informatics Reports,
Journal Year:
2024,
Volume and Issue:
14, P. 100127 - 100127
Published: March 7, 2024
This
article
presents
an
analysis
of
artificial
intelligence
(AI)
in
information
systems
and
innovation-related
journals
to
determine
the
current
issues
stock
knowledge
AI
literature,
research
methodology,
frameworks,
level
conceptual
approaches
identify
gaps
for
future
investigations.
A
total
85
peer-reviewed
articles
from
2020
2023
were
used
analysis.
The
findings
show
that
extant
literature
is
skewed
towards
prevalence
technological
highlights
relatively
lower
focus
on
other
themes,
such
as
contextual
co-creation
issues,
conceptualisation,
application
domains.
While
there
have
been
increasing
with
intelligence,
three
identified
areas
security
concern
are
data
security,
model
network
security.
Furthermore,
review
found
contemporary
AI,
which
continually
drives
boundaries
computational
capabilities
tackle
increasingly
intricate
decision-making
challenges,
distinguishes
itself
earlier
iterations
two
primary
aspects
significantly
affect
organisational
learning
dealing
AI's
potential:
autonomy
learnability.
study
contributes
by
providing
insights
into
approaches,
framework
help
IEEE Access,
Journal Year:
2024,
Volume and Issue:
12, P. 20603 - 20623
Published: Jan. 1, 2024
The
Internet
of
Medical
Things
(IoMT)
is
the
subset
(IoT)
that
connects
multiple
medical
devices,
collect
information/data
from
and
transmits
process
data
in
real-time.
IoMT
crucial
for
increasing
electronic
device
accuracy,
reliability,
productivity
healthcare
industry.
has
emerged
as
a
next-generation
bio-analytical
tool
converges
network-linked
biomedical
devices
with
relevant
software
applications
advancing
human
health.
Adapting
associated
technologies
fixed
several
problems
using
telemedicine,
remote
monitoring,
sensors,
robotics,
etc.
However,
adopting
large
population
challenging
due
to
extensive
management,
privacy,
security,
upgradation,
scalability,
Although
significant
research
been
carried
out
this
domain,
identifying
emerging
trends
highlighting
technological
advancement
challenges
within
required
its
success.
Moreover,
it
will
aid
policymakers,
scientists,
practitioners,
researchers
measure
pertinence
sectors
more
efficiently.
This
review
discusses
evolution
IoMT,
Machine
Learning
Integration,
Security,
interoperability
devices.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(6), P. 2351 - 2351
Published: March 11, 2024
The
prevalence
of
diet-related
diseases
underscores
the
imperative
for
innovative
management
approaches.
deployment
smart
solutions
signifies
a
paradigmatic
evolution,
capitalising
on
advanced
technologies
to
enhance
precision
and
efficacy.
This
paper
aims
present
explore
diseases,
focusing
leveraging
technologies,
such
as
connected
care,
Internet
Medical
Things
(IoMT),
remote
health
monitoring
systems
(RHMS),
address
rising
diseases.
transformative
approach
is
exemplified
in
case
studies
tailored
RHMS
capabilities.
showcase
potential
three
introducing
novel
evaluation
method
their
customisation
proactive
conditions
influenced
by
dietary
habits.
RO-SmartAgeing
System
uniquely
addresses
age-related
aspects,
providing
an
integrated
that
considers
long-term
impact
choices
ageing,
marking
perspective
healthcare.
NeuroPredict
Platform,
complex
neuroinformatics,
enhances
understanding
connections
between
brain
health,
nutrition,
overall
well-being,
contributing
insights
healthcare
assessments.
Focused
liver
monitoring,
HepatoConect
system
delivers
real-time
data
personalized
recommendations,
offering
distinctive
disease
management.
By
integrating
cutting-edge
these
transcend
traditional
boundaries.
International Journal of Cognitive Computing in Engineering,
Journal Year:
2023,
Volume and Issue:
4, P. 220 - 239
Published: June 1, 2023
Healthcare
is
an
emerging
sector
with
the
integration
of
technologies
aiming
to
improve
Quality
Life
individual
through
various
medical
services.
Most
healthcare
services
work
sensitive
information
patients
either
collected
in
real-time
using
body
implanted
sensors
or
IoT
enabled
devices
during
diagnosis
a
centrally
controlled
model.
But,
traditional
based
suffer
from
several
challenges
such
as
data
security,
privacy,
interoperability,
single
point
failure,
scalability,
and
integrity.
However,
by
considering
advantages
Blockchain
technology
disadvantages
systems,
amalgamation
decentralised,
distributed
ledger
for
applications
will
strengthen
system
resolving
major
challenges.
Thus,
this
research
article
conducts
comprehensive
survey
on
(BCIoT)
services,
focusing
mainly
existing
approaches,
possibilities,
First,
we
present
detailed
overview
Blockchain,
motivation
BCIoT
along
applications.
Next
discuss
enabling
platforms
For
better
understanding,
review
role
Remote
patient
monitoring,
electronic
heath
record
management,
Health
asset
tracing,
Covid-19
infected
contact
tracking.
Finally
future
directions
are
discussed
ACS Applied Optical Materials,
Journal Year:
2023,
Volume and Issue:
1(7), P. 1245 - 1262
Published: June 30, 2023
The
surge
of
pathogenic
illnesses
is
responsible
for
millions
mortalities
occurring
in
underdeveloped
and
developing
countries.
Different
pathogens
such
as
viruses,
bacteria,
fungi,
protozoa
are
the
causative
agents
fatalities.
rapid
proliferation
diseases
threatens
entire
human
population
possibly
economy.
Owing
to
time-consuming
sophisticated
laboratory
setup,
conventional
diagnostic
tools
not
sufficient
detection
microbial
infections.
To
treat
infections
successfully,
simple,
fast,
accurate,
cost-effective
great
importance.
Optical
biosensors
effective
techniques
highly
sensitive,
specific,
multiplexed,
easy-to-use
determination
In
modern
era,
need
efficacious
point-of-care
(POC)
huge
demand
with
prominence
portability,
high
sensitivity,
being
user-friendly,
having
on-site
ability.
Currently,
efforts
have
been
made
advancement
POC
optical
through
integration
technical
support
like
artificial
intelligence,
machine
learning,
internet-of-things,
internet-of-medical-things
(IoMT).
These
smart
technique-incorporated
advanced
can
fill
gap
between
generation
bioinformatics,
large
data
analytics,
clinical
validation.
Moreover,
integrated
will
be
beneficial
understand
progression
diseases,
authentication,
assessment
efficiency
prescribed
treatment.
IEEE Access,
Journal Year:
2023,
Volume and Issue:
11, P. 120827 - 120844
Published: Jan. 1, 2023
Plenteous
research
has
been
undertaken
on
the
direct
effects
of
artificial
intelligence
(AI)
smart
decision-making.
However,
little
attention
paid
to
contextual
factors
such
as
Internet
Things
(IoT)
and
governance
that
mediate
relationship
between
AI
This
investigates
direct,
mediating,
parallel-sequential
multiple
mediating
interactions
AI,
IoT,
governance,
We
used
a
self-structured
survey
collect
cross-sectional
data
from
citizens
in
Republic
Korea,
516
responses
were
examined
using
SmartPLS
structural
equation
modeling
(PLS-SEM).
A
mediator
framework
is
assessed
Hayes
Process
Model
with
bootstrapping.
Our
results
reveal
substantial
favorable
multi-mediating
effect
IoT
applications
decision-making,
predicted.
Previous
scholars
have
investigated
few
influence
but
our
contributes
literature
applied
social
sciences,
including
traditional
decision
theory,
by
examining
impact
study
presents
both
theoretical
practical
implications
for
policymakers
engaged
development
cities.
Additionally,
this
provides
recommendations
future
research.
