Teaching and Teacher Education, Journal Year: 1993, Volume and Issue: 9(2), P. 205 - 218
Published: April 1, 1993
Language: Английский
Teaching and Teacher Education, Journal Year: 1993, Volume and Issue: 9(2), P. 205 - 218
Published: April 1, 1993
Language: Английский
Foundations of genetic algorithms, Journal Year: 1991, Volume and Issue: unknown, P. 94 - 101
Published: Jan. 1, 1991
Language: Английский
Citations
657Journal of Manufacturing Systems, Journal Year: 2022, Volume and Issue: 62, P. 612 - 627
Published: Jan. 1, 2022
Language: Английский
Citations
411JMIR Medical Informatics, Journal Year: 2018, Volume and Issue: 6(2), P. e24 - e24
Published: April 18, 2018
Clinical decision support systems (CDSSs) are an integral component of today's health information technologies. They assist with interpretation, diagnosis, and treatment. A CDSS can be embedded throughout the patient safety continuum providing reminders, recommendations, alerts to care providers. Although CDSSs have been shown reduce medical errors improve outcomes, they fallen short their full potential. User acceptance has identified as one potential reasons for this shortfall.The purpose paper was conduct a critical review task analysis research develop new framework design in order achieve user acceptance.A papers conducted focus on acceptance. To gain greater understanding problems associated acceptance, we identify describe goals, input, system output, knowledge requirements, constraints from two different perspectives: machine (ie, engine) physician).Favorability based clinical guidelines, alerts, diagnostic suggestions. We propose models: (1) adaptation model, which includes optimizing needs/expectations, (2) input-process-output-engagemodel, reveals users processes that govern outputs.This demonstrates incorporation proposed models will beneficial effects adoption. Ultimately, if does not accept technology, only poses threat use technology but also pose well-being patients.
Language: Английский
Citations
281Trends in Cognitive Sciences, Journal Year: 2010, Volume and Issue: 14(11), P. 497 - 505
Published: Sept. 30, 2010
Language: Английский
Citations
274Nature, Journal Year: 2022, Volume and Issue: 606(7912), P. 129 - 136
Published: May 19, 2022
Language: Английский
Citations
79Journal of Business Research, Journal Year: 1994, Volume and Issue: 29(2), P. 101 - 109
Published: Feb. 1, 1994
Language: Английский
Citations
309Published: Jan. 2, 2003
The
authors
present
an
efficient
genetic
algorithm
for
two
NP-hard
problems,
the
bin
packing
and
line
balancing
problems.
They
define
problems
precisely
specify
a
cost
function
suitable
problem.
It
is
shown
that
classic
performs
poorly
on
grouping
encoding
of
solutions
fitting
these
presented.
Efficient
crossover
mutation
operators
are
introduced
packing.
modification
necessary
to
fit
given.
Results
performance
tests
randomly
generated
data
included.
cover
real-world
problem
sizes.
results
areas
further
research
discussed.<
Language: Английский
Citations
270Published: Dec. 10, 2002
Genetic
algorithms
(GAs)
constitute
a
technique
that
has
been
applied
with
advantage
to
variety
of
combinatorial
problems.
This
work
shows
how
the
GAs
can
be
used
optimize
job
shop
problem
many
tasks,
machines,
and
precedence
constraints.
The
authors
introduce
then
show
what
makes
treatment
scheduling
difficult.
They
present
an
encoding
overcomes
these
difficulties.
performance
algorithm
is
demonstrated
examples
real-world
size.<
Language: Английский
Citations
213Expert Systems with Applications, Journal Year: 2015, Volume and Issue: 42(21), P. 7684 - 7697
Published: June 13, 2015
Language: Английский
Citations
152Review of Educational Research, Journal Year: 1989, Volume and Issue: 59(4), P. 333 - 373
Published: Dec. 1, 1989
Recent advances in three research traditions are summarized: trait theories of intelligence, information-processing and general thinking. The discussion intelligence focuses on the theory fluid crystallized abilities, particularly recent elaborations this proposed by Horn (1985) Snow (1981) : Their work provides a convenient framework for intelligence. I summarize attempts to build process major ability factors identified Horn’s version model: mental speed, verbal-crystallized fluid-reasoning spatial-visualization abilities. discuss Sternberg’s develop comprehensive ask how might be derived from sort thinking currently advanced cognitive psychology artificial (AI). paper concludes with some speculations about meaning construct suggestions it.
Language: Английский
Citations
112