A Will Found Wanting: Embracing Complexity, an Authentic PhD Journey
Опубликована: Янв. 1, 2025
Язык: Английский
Two Decades of Rheumatology Research (2000-2023): A Dynamic Topic Modeling Perspective
medRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 9, 2024
Abstract
Background
Rheumatology
has
experience
notably
changes
in
last
decades.
New
drugs,
including
biologic
agents
and
janus
kinase
inhibitors,
have
bloosom.
Concepts
such
as
window
of
opportunity
,
arthralgia
suspicious
for
progression
or
difficult-to-treat
rheumatoid
arthritis
appeared;
new
management
approaches
strategies
treat-to-target
become
popular.
Statistical
learning
methods,
gene
therapy,
telemedicine
precision
medicine
are
other
advancements
that
gained
relevance
the
field.
To
better
characterise
research
landscape
advances
rheumatology,
automatic
efficient
based
on
natural
language
processing
should
be
used.
The
objective
this
study
is
to
use
topic
modeling
techniques
uncover
key
topics
trends
rheumatology
conducted
23
years.
Methods
This
analysed
96,004
abstracts
published
between
2000
December
31,
2023,
drawn
from
34
specialised
journals
obtained
PubMed.
BERTopic,
a
novel
approach
considers
semantic
relationships
among
words
their
context,
was
used
topics.
Up
30
different
models
were
trained.
Based
number
topics,
outliers
coherence
score,
two
them
finally
selected,
manually
labeled
by
rheumatologists.
Word
clouds
hierarchical
clustering
visualizations
computed.
Finally,
hot
cold
identified
using
linear
regression
models.
Results
Abstracts
classified
into
45
47
most
frequent
arthritis,
systemic
lupus
erythematosus
osteoarthritis.
Expected
COVID-19
JAK
inhibitors
after
conducting
dynamic
modeling.
Topics
spinal
surgery
bone
fractures
years,
however,
antiphospholipid
syndrome,
septic
lost
momentum.
Conclusions
Our
utilized
advanced
analyse
landscape,
identify
themes
emerging
trends.
results
highlight
varied
nature
research,
illustrating
how
interest
certain
shifted
over
time.
Язык: Английский
Topic Modeling of Neuropsychiatric Diseases Related to Gut Microbiota and Gut Brain Axis Using Artificial Intelligence Based BERTopic Model on PubMed Abstracts
Neuroscience Informatics,
Год журнала:
2024,
Номер
4(4), С. 100175 - 100175
Опубликована: Сен. 10, 2024
Язык: Английский
Which Narcissists are More Stressed? The Link between Narcissistic Forms and Stress Experience in a Five-Day Diary Study
Опубликована: Янв. 1, 2024
Язык: Английский
Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic
Therapeutic Advances in Musculoskeletal Disease,
Год журнала:
2024,
Номер
16
Опубликована: Янв. 1, 2024
Rheumatology
has
experienced
notable
changes
in
the
last
decades.
New
drugs,
including
biologic
agents
and
Janus
kinase
(JAK)
inhibitors,
have
blossomed.
Concepts
such
as
window
of
opportunity,
arthralgia
suspicious
for
progression,
or
difficult-to-treat
rheumatoid
arthritis
(RA)
appeared;
new
management
approaches
strategies
treat-to-target
become
popular.
Statistical
learning
methods,
gene
therapy,
telemedicine,
precision
medicine
are
other
advancements
that
gained
relevance
field.
To
better
characterize
research
landscape
advances
rheumatology,
automatic
efficient
based
on
natural
language
processing
(NLP)
should
be
used.
Язык: Английский
Image Compression for Communication: Topic Modelling of Scopus Abstracts Using BERTopic
Chanambam Mokaju Meitei,
Sanju Dabas,
Ashok Kumar
и другие.
2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC),
Год журнала:
2024,
Номер
unknown, С. 1 - 6
Опубликована: Ноя. 17, 2024
Язык: Английский
Wave and Tidal Energy: A Patent Landscape Study
Journal of Marine Science and Engineering,
Год журнала:
2024,
Номер
12(11), С. 1967 - 1967
Опубликована: Ноя. 1, 2024
Wave
and
tidal
energy,
recognized
as
vital
renewable
resources,
harness
the
ocean’s
kinetic
potential
power.
This
study
aims
to
provide
an
in-depth
patent
analysis
of
technological
landscape
within
these
sectors.
We
applied
a
dual
approach:
first,
descriptive
was
conducted
explore
publication
trends,
technology
lifecycle
stages,
activity
by
country,
top
assignees,
IPC
classifications.
Our
provided
detailed
overview
sector’s
growth
key
players
involved.
Second,
we
utilized
topic
modeling,
specifically
BERTopic
enhanced
with
large
language
models,
identify
fine-tune
themes
data.
In
this
study,
identified
seven
distinct
clusters
each
for
wave
energy
using
approach.
method
led
novel
categorization
patents,
revealing
latent
Although
our
differs
from
traditional
methods,
it
provides
deeper
insights
into
thematic
focus
highlighting
emerging
trends
areas
innovation
technologies
better
exploit
optimize
ocean
conversion
infrastructure.
Язык: Английский