Comprehensive overview of the anesthesiology research landscape: A machine Learning Analysis of 737 NIH-funded anesthesiology primary Investigator's publication trends

Comprehensive overview of the anesthesiology research landscape: A machine Learning Analysis of 737 NIH-funded anesthesiology primary Investigator's publication trends

Background: Anesthesiology plays a crucial role in perioperative care, critical care, and pain management, impacting patient experiences and clinical outcomes. However, our understanding of the anesthesiology research landscape is limited. Accordingly, we initiated a data-driven analysis through top...

Full description

Bibliographic Details
Main Authors: Marc Ghanem, Camilo Espinosa, Philip Chung, Momsen Reincke, Natasha Harrison, Thanaphong Phongpreecha, Sayane Shome, Geetha Saarunya, Eloise Berson, Tomin James, Feng Xie, Chi-Hung Shu, Debapriya Hazra, Samson Mataraso, Yeasul Kim, David Seong, Dipro Chakraborty, Manuel Studer, Lei Xue, Ivana Marić, Alan L. Chang, Erico Tjoa, Brice Gaudillière, Vivianne L. Tawfik, Sean Mackey, Nima Aghaeepour
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
Anesthesiology research trends
Topic modeling
Pillar topics
Trending subtopics
NIH-funded research
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024050813

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024050813

Similar Items