Leveraging natural language processing and machine learning to characterize psychological stress and life meaning and purpose in pediatric cancer survivors: a preliminary validation study

Authors

Institutions

Publication Details

Journal
JAMIA Open
Published
2025-03-06
DOI
https://doi.org/10.1093/jamiaopen/ooaf018
Primary Topic
Childhood Cancer Survivors' Quality of Life
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging natural language processing and machine learning to characterize psychological stress and life meaning and purpose in pediatric cancer survivors: a preliminary validation study

Justin Nathaniel Baker, Xiaolei Huang, Kirsten K. Ness, I‐Chan Huang et al.
JAMIA Open
Childhood Cancer Survivors' Quality of Life
article

Leveraging natural language processing and machine learning to characterize psychological stress and life meaning and purpose in pediatric cancer survivors: a preliminary validation study

Justin Nathaniel Baker, Xiaolei Huang, Kirsten K. Ness, I‐Chan Huang, Jin-Ah Sim, Rachel Tillery, Melissa M. Hudson, Kumar Srivastava
article en

Abstract

No abstract available for this paper.
JAMIA OpenVol. 8(2)
St. Jude Children's Research Hospital (US), Hallym University (KR), University of Massachusetts Chan Medical School (US), University of Memphis (US), Stanford University (US)
National Cancer Institute
Quality Education
Openalex Percentile: Top 92%
Childhood Cancer Survivors' Quality of Life
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.