Journal of Imaging,
Journal Year:
2020,
Volume and Issue:
6(6), P. 39 - 39
Published: May 29, 2020
Breast
cancer
is
the
most
common
cause
of
death
for
women
worldwide.
Thus,
ability
artificial
intelligence
systems
to
detect
possible
breast
very
important.
In
this
paper,
an
ensemble
classification
mechanism
proposed
based
on
a
majority
voting
mechanism.
First,
performance
different
state-of-the-art
machine
learning
algorithms
were
evaluated
Wisconsin
Cancer
Dataset
(WBCD).
The
three
best
classifiers
then
selected
their
F3
score.
score
used
emphasize
importance
false
negatives
(recall)
in
classification.
Then,
these
classifiers,
simple
logistic
regression
learning,
support
vector
with
stochastic
gradient
descent
optimization
and
multilayer
perceptron
network,
are
using
We
also
hard
soft
For
voting,
majority-based
was
we
average
probabilities,
product
maximum
probabilities
minimum
probabilities-based
methods.
(majority-based
voting)
shows
better
99.42%,
as
compared
algorithm
WBCD.
International Journal of Health Geographics,
Journal Year:
2019,
Volume and Issue:
18(1)
Published: May 1, 2019
The
moulding
together
of
artificial
intelligence
(AI)
and
the
geographic/geographic
information
systems
(GIS)
dimension
creates
GeoAI.
There
is
an
emerging
role
for
GeoAI
in
health
healthcare,
as
location
integral
part
both
population
individual
health.
This
article
provides
overview
technologies
(methods,
tools
software),
their
current
potential
applications
several
disciplines
within
public
health,
precision
medicine,
Internet
Things-powered
smart
healthy
cities.
challenges
currently
facing
research
healthcare
are
also
briefly
discussed.
