Explainable artificial intelligence for fitness prediction of young athletes living in unfavorable environmental conditions
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
23, P. 102592 - 102592
Published: July 24, 2024
This
study
is
the
first
attempt
to
use
explainable
machine
learning
(ML)
investigate
factors
influencing
physical
development
and
athlete's
performance
in
Karakalpakstan
Khwarazm
regions
of
Republic
Uzbekistan.
Three
fitness
tests
(Dribbling
Shuttle,
Goal
Accuracy,
Yo-Yo
intermittent),
anthropometrics,
hematology
data
(33
subject-specific
factors)
60
young
soccer
players
were
used
this
study.
Results
reveal
that
ML
algorithms
effective
prediction
with
high
model
accuracy
measured
from
mean
absolute
error
squared
(0.004
0.052
for
Dribbling
Shuttle
test
Random
Forest
model,
41.783
5
Intermittent
Recovery
Test-level
XGB
0.027
0.135
Accuracy
model).
In
contrast,
bias
was
estimated
using
percentage
(3.6
%
0.3
Test
36.7
Furthermore,
Shapley
additive
explanations
analysis
exhibited
anthropometric
parameters
such
as
body
mass,
mesomorph,
ankle
diameter
are
dominant
development.
These
results
confirm
generally
accepted
concept
profile
early
maturing
professional
players.
Additionally,
it
understood
red
blood
count
corpuscular
volume
significantly
influence
Overall,
AI-based
methods
more
predicting
athletes'
performance.
Therefore,
findings
can
effectively
be
incorporated
assessment
interventions
enhance
related
regional
policy
Language: Английский
Organic Food in Athletes Diet—Narrative Review of Alternative Products in Sports Nutrition
Nutrients,
Journal Year:
2024,
Volume and Issue:
16(14), P. 2347 - 2347
Published: July 20, 2024
Athletes
are
characterized
by
special
nutritional
needs.
Meeting
their
dietary
needs
associated
with
intensive
exercise
is
a
prerequisite
for
effective
training
and
success
in
sports
competitions.
Hence,
it
important
to
supply
key
performance
nutrients,
such
as
macronutrients,
antioxidants,
calcium,
vitamin
D,
or
iron,
adequate
quantities.
The
increased
need
these
nutrients
makes
necessary
look
food
products
on
the
market
that
more
fully
cover
Such
may
include
organic
foods.
According
research,
they
have
unique
properties
richer
selected
antioxidants.
aim
of
this
review
was
analyze
available
literature
whether
foods
potential
requirements
athletes
compared
conventionally
produced
A
narrative
current
carried
out.
As
analysis
showed,
higher
content
antioxidant
bioactive
compounds,
Language: Английский