Development of a generalizable natural language processing pipeline to extract physician-reported pain from clinical reports: Generated using publicly-available datasets and tested on institutional clinical reports for cancer patients with bone metastases-Reference-Cited by-同舟云学术

Development of a generalizable natural language processing pipeline to extract physician-reported pain from clinical reports: Generated using publicly-available datasets and tested on institutional clinical reports for cancer patients with bone metastases

Published:2021-08 Issue: Volume:120 Page:103864
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Naseri Hossein,Kafi Kamran,Skamene Sonia,Tolba Marwan^ORCID,Faye Mame Daro^ORCID,Ramia Paul^ORCID,Khriguian Julia^ORCID,Kildea John^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference55 articles.

1. WHO Guidelines for the Pharmacological and Radiotherapeutic Management of Cancer Pain in Adults and Adolescents;World Health Organization,2018

2. Quality of life among cancer patients;Nayak;Ind. J. Palliat. Care,2017

3. Relieving pain in america: a blueprint for transforming prevention, care, education, and research;Simon;J. Pain Palliat. Care Pharmacother.,2012

4. The immune-suppressive nature of pain;Page;Sem. Oncol. Nursing,1997

5. American Pain Society Recommendations for improving the quality of acute and cancer pain management: American pain society quality of care task force;Gordon;Arch. Internal Med.,2005

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analyzing pain patterns in the emergency department: Leveraging clinical text deep learning models for real-world insights;International Journal of Medical Informatics;2024-10

2. A natural language processing system for the efficient extraction of cell markers;Scientific Reports;2024-09-11

3. Efficiency of natural language processing as a tool for analysing quality of life in patients with chronic diseases. A systematic review;Computers in Human Behavior Reports;2024-05

4. Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review;Expert Review of Pharmacoeconomics & Outcomes Research;2024-03-05

5. A natural language processing system for the efficient extraction of cell markers;2024-02-02