JMIR Bioinformatics and Biotechnology,
Journal Year:
2024,
Volume and Issue:
5, P. e62752 - e62752
Published: Oct. 16, 2024
An
increasing
body
of
literature
highlights
the
integration
machine
learning
with
genomic
data
in
psychiatry,
particularly
for
complex
mental
health
disorders
such
as
schizophrenia.
These
advanced
techniques
offer
promising
potential
uncovering
various
facets
these
disorders.
A
comprehensive
review
current
applications
conjunction
within
this
context
can
significantly
enhance
our
understanding
state
research
and
its
future
directions.
BACKGROUND
An
increasing
body
of
literature
highlights
the
integration
machine
learning
with
genomic
data
in
psychiatry,
particularly
for
complex
mental
health
disorders
such
as
schizophrenia.
These
advanced
techniques
offer
promising
potential
uncovering
various
facets
these
disorders.
A
comprehensive
review
current
applications
conjunction
within
this
context
can
significantly
enhance
our
understanding
state
research
and
its
future
directions.
OBJECTIVE
The
objective
study
is
to
conduct
a
systematic
scoping
use
algorithms
field
METHODS
systematic,
review,
search
was
performed
electronic
databases
Medline,
Web
Science,
PsycNet
(PsycINFO),
Google
Scholar
from
2013
2024.
Studies
at
intersection
schizophrenia,
data,
were
evaluated.
RESULTS
identified
2437
eligible
articles
after
removing
duplicates.
Following
abstract
screening,
143
full-text
assessed,
121
subsequently
excluded.
Therefore,
21
studies
thoroughly
assessed.
Various
used
studies,
support
vector
machines
being
most
common.
notably
predict
identifying
schizophrenia
features,
discovering
drugs,
classifying
amongst
other
disorders,
predicting
quality-of-life
patients.
CONCLUSIONS
Several
high-quality
identified.
Yet,
application
remains
limited.
Future
essential
further
evaluate
portability
models
explore
their
clinical
applications.
Biomolecules,
Journal Year:
2024,
Volume and Issue:
14(9), P. 1185 - 1185
Published: Sept. 20, 2024
A
wide
array
of
biological
abnormalities
in
psychotic
illness
appear
to
reflect
non-cerebral
involvement.
This
review
first
outlines
the
evidence
for
such
a
whole-body
concept
schizophrenia
pathobiology,
focusing
particularly
on
cardiovascular
disease,
metabolic
syndrome
and
diabetes,
immunity
inflammation,
cancer,
gut–brain
axis.
It
then
considers
roles
miRNAs
general
miRNA-143
particular
as
they
relate
epidemiology,
treatment
schizophrenia.
is
followed
by
notable
that
also
implicated
each
these
domains
Thus,
an
exemplar
what
may
be
class
molecules
play
role
across
multiple
bodily
dysfunction
characterize
perspective
Importantly,
existence
exemplary
molecule
implies
coordinated
rather
than
stochastic
basis.
One
candidate
process
would
pleiotropic
effect
genetic
risk
whole
body.
JMIR Bioinformatics and Biotechnology,
Journal Year:
2024,
Volume and Issue:
5, P. e62752 - e62752
Published: Oct. 16, 2024
An
increasing
body
of
literature
highlights
the
integration
machine
learning
with
genomic
data
in
psychiatry,
particularly
for
complex
mental
health
disorders
such
as
schizophrenia.
These
advanced
techniques
offer
promising
potential
uncovering
various
facets
these
disorders.
A
comprehensive
review
current
applications
conjunction
within
this
context
can
significantly
enhance
our
understanding
state
research
and
its
future
directions.
