E-Health
Record
Security
Research
on
a
Cloud-Based
Multi-Layer
Framework
reaches
its
climax
in
string
of
noteworthy
discoveries,
demonstrating
how
the
framework
may
transform
cloud
health
data
security.
The
framework's
multi-tiered
design
proved
to
be
an
effective
barrier
against
wide
range
cyber
threats,
protecting
privacy
and
security
patients'
medical
records.
An
important
factor
varied
healthcare
industry
is
fact
that
it
can
easily
scaled
adjusted
meet
needs
providers
sizes
capabilities.
Nevertheless,
there
are
obstacles
need
addressed,
according
report.
These
include
difficulty
implementation
ongoing
for
upgrades
modifications
address
changing
threats
technical
advances.
Healthcare
firms
must
continuously
implement
educational
programs
due
reliance
user
compliance
training.
With
eye
toward
future,
this
structure
lays
groundwork
more
sophisticated
studies
subject.
Potential
research
directions
improving
cross-platform
compatibility,
optimizing
resource
utilization
reduce
performance
implications,
integrating
AI
ML
automated
threat
response
predictive
analytics.
2022 International Conference on Edge Computing and Applications (ICECAA),
Год журнала:
2022,
Номер
unknown, С. 1503 - 1508
Опубликована: Окт. 13, 2022
Unlike
the
healthy
cells
in
breast
tissue,
cancerous
are
unwelcome
and
have
strange
properties.
In
both
sexes,
this
will
quickly
expand
infiltrate
adjacent
leading
to
formation
of
a
tumour.
Using
Intelligent-Breast
Abnormality
Detection
(I-BAD)
framework,
many
cancer
parameters
evaluated
article.
It
has
already
been
shown
that
some
indicators
may
be
used
for
early
detection
cancer.
There
is
also
discussion
instruments
strategies
facilitate
monitoring
selected
health
metrics.
Classification
methods
use
machine
learning
store
analyse
data
discussed.
The
suggested
I-BAD
framework's
process
then
visually
clean
drawings.
In
order
to
fight
the
pandemic
situations
like
COVID-19,
researchers
are
working
towards
find
an
early
vaccination
and
developing
a
multidisciplinary
strategy
that
explores
most
sophisticated
Internet
of
Things
(IoT)
technologies.
By
utilizing
IoT-based
industrial
manufacturing
breathing
units,
masks,
other
medical
equipment,
patients
might
either
be
observed
in
hospitals
or
separated
at
home
secured
manner
by
utilising
these
items;
alternatively,
new
methods
passive
ventilation
could
devised.
It
is
non-contact,
alcohol-based
hand
sanitizer
dispenser
used
number
environments
including
hospitals,
work
places,
companies,
schools,
educational
institutions.
An
automated
distributing
machine
system
distributes
automatically.
When
compared
liquid
soap
solid
soap,
alcohol
primarily
solvent
also
serves
as
highly
effective
disinfectant.
Additionally,
since
volatile
vaporises
immediately
after
application
hands,
it
does
not
need
water
washed
away.
has
additionally
been
demonstrated
concentration
hands
more
than
70%
may
able
destroy
Corona
virus.
infrared
sensor
detect
when
placed
close
proximity
it.
This
microcontroller
estimate
distance
between
sensor,
which
ultimately
results
pump
being
activated
dispense
sanitizer.
keep
track
two
objects,
ultrasonic
sensors
used;
becoming
too
near,
buzzer
will
ring
warn
user.
The
internal
body
temperature
measured
using
patient's
health
evaluated
with
assistance
well
pulse
sensor.
Finally,
few
data
points
sent
cloud
evaluation
complete.
A
proposed
system
that
utilizes
machine
learning
and
natural
language
processing
aims
to
facilitate
communication
among
individuals
who
speak
different
languages.
Specifically,
doctors
can
use
a
prototype
of
this
access
information
from
database
about
the
health
their
patients.
The
paper
suggests
Natural
Language
Processing
(NLP)
be
used
minimize
delays
during
online
consultations
between
NLP
plays
crucial
role
in
smart
healthcare
by
textual
data
enabling
human-machine
communication.
Through
algorithms,
teach
computers
comprehend
human
language,
including
speech
text,
extract
useful
unstructured
data.
This
overcome
barriers,
allowing
patients
communicate
native
while
respond
English
or
other
languages,
better
user
experience
for
everyone.
2022 6th International Conference on Computing Methodologies and Communication (ICCMC),
Год журнала:
2023,
Номер
unknown, С. 1236 - 1241
Опубликована: Фев. 23, 2023
Cancer
is
an
undesirable
cell
with
odd
characteristic
varies
from
normal
of
the
breast
tissue.
This
will
develop
swiftly
and
infiltrate
surrounding
tissue
forms
as
tumor
which
happens
in
both
men
women.
After
lung
cancer,
cancer
has
become
largest
cause
malignancies
women
raise
mortality
rate.
In
this
article,
Sensor
enabled
wearable
device
framework
to
detect
temperature
abnormalities
suggested.
Early
work
on
sensors
supported
monitor
presented.
The
concept
a
garment
sensor-enabled
patches
also
considered.
Detailed
architecture
proposed
explained,
implementation
specifics
are
examined.
Later
statistical
highlights
help
process
sensor-generated
data
explained.
performance
examined
by
taking
abnormal
patient
dataset
findings
described
using
attractive
figure
representations.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI),
Год журнала:
2023,
Номер
unknown, С. 420 - 426
Опубликована: Апрель 11, 2023
Internet
of
Things
(IoT)
apps
will
provide
fast
and
effortless
management
smart
cities.
This
networked
service
is
dependent
on
the
Service
Provider
(ISP).
framework
reduces
physical
human
interaction
in
banking,
railway
counters,
water
power
so
on.
The
IoT
based
applications
makes
cities
more
sustainable.
Recently,
Indian
government
focused
supportive
towards
building
a
reliable
for
developing
innovative
products,
businesses
that
rely
mostly
cyberspace.
study
discusses
about
advantages,
disadvantages
future
possibilities
importance
development
India's
cities,
as
well
how
widespread
adoption
may
swiftly
disrupt
people's
everyday
routines
are
also
discussed.
International Journal of Electrical and Electronics Research,
Год журнала:
2022,
Номер
10(4), С. 1050 - 1057
Опубликована: Дек. 25, 2022
In
this
paper,
the
Accident
Reduction
Model
(ARM)
technique
has
been
used
to
analyze
different
critical
criteria
in
various
industries.
This
ARM
is
determine
conclusions
of
decision-making
process.
Valid
data
obtained
structure
IoT
with
proper
and
consistent
useful
information.
The
network
address
utility
allows
efficient
sensor
data.
necessary
configuration
procedure
effectively
monitors
relevant
boundary
values.
Finally,
we
have
ensured
that
system
will
be
able
provide
dynamic
performance
an
IoT-based
use
low-cost
estimates
lower
execution
time.
In
most
cases,
the
mental
impairment
caused
by
delirium
may
be
treated
and
eventually
reversed.
Lack
of
concentration,
disorientation,
incoherent
thought,
fluctuating
degrees
awareness
(consciousness)
are
all
symptoms.
Delirium,
an
acute
neuropsychiatric
disorder
characterised
inattention
generalised
cognitive
impairment,
is
common,
hazardous,
generally
linked
with
poor
results.
Patients
at
increased
risk
for
adverse
outcomes
throughout
their
time
in
critical
care
unit.
It
requires
medical
competence
to
diagnose
delirium.
Those
developing
should
identified
as
soon
possible.
Once
a
diagnosis
has
been
made,
treatment
process
lengthy
include
several
groups
working
together.
This
paper's
goal
show
how
model
built
using
Electronic
Health
Record
data
employing
Machine
Learning
technique.
International Journal of Electrical and Electronics Research,
Год журнала:
2022,
Номер
10(4), С. 1077 - 1085
Опубликована: Дек. 25, 2022
There
are
several
types
of
skin
diseases,
to
protect
and
keep
them
healthy
from
these
ailments;
an
effective
efficient
diagnosis
is
required.
One
the
domains
used
by
medical
experts
diagnose
severe
class
disease
imaging.
It
non-invasive
way
in
which
screen
abnormal
region
performs
first
then
dermatologist
examines
subcutaneous
structure
forecasts
severity
lesion.
lesions
cancer,
categorized
as
melanoma
non-melanoma.
Most
research
has
been
performed
on
yet
non-melanoma
cancer
still
untouched
area.
The
cure
rate
high,
when
diagnosed
at
earlier
stage.
proposed
approach
applicable
gray
scale
or
single
channel
images
resultant
output
binary
images,
this
can
be
compared
easily
with
available
mask
benchmark
dataset.
In
addition
this,
APCNN
proposal
minimizes
requirement
post
processing
step
for
lesion
boundary
detection.
2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON),
Год журнала:
2022,
Номер
unknown, С. 1 - 6
Опубликована: Дек. 23, 2022
India
is
a
country
where
number
of
death
occur
due
to
road
accidents
and
thus
because
the
bad
health
condition
driver's.
To
overcome
this
issue
remote
patient
monitoring
system
has
be
deployed
find
conditions
patients
update
their
information.
A
new
been
developed,
that
monitors
activities
user
behavior,
detection
stress
device
helps
in
accessing
all
those
provides
better
results
for
healthier
living
or
patients.
The
ability
predicting
prevalence
diabetes
hypertension
Indian
women
using
specific
thresholds
indices
are
examined.
cut
off
point
waist
circumstances
>35%
thresholds,
12%
have
more
than
WC
threshold
13
%
case
diabetic
body
mass
index
value
25.02
kg/m2
34
%
people
BMI
cut-point
25%
diabetes.
In
height
ratio
cutoff
only
1%
missed
0%
diabetes,
from
these
three
parameters
same
women.
proposed
decision
tree.
Measurement Sensors,
Год журнала:
2023,
Номер
27, С. 100751 - 100751
Опубликована: Март 22, 2023
Diabetes
mellitus,
often
known
as
diabetes,
is
an
endocrine
disorder
that
has
a
wide
global
impact
today.
Here
requirement
for
effective
model
able
prognoses
diabetes
and
its
types
with
more
accurateness
early.
Given
the
breadth
depth
of
existing
studies,
there
pressing
need
accurate
timely
illness
forecasting
in
healthcare
sector.
Current
circumstances
creation
design
systems
are
quicker
to
respond,
accurate,
durable,
generalizable.
For
increasing
prediction
best
effectiveness
innovative
Artificial
Intelligence
Machine
Learning
Model
proposed.
This
predicts
class
using
symptoms
located
into
data-set
which
having
row
one
rule
system
&
this
understand
compile
feature.
