Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review-Reference-Cited by-同舟云学术

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Using natural language processing to analyze unstructured patient-reported outcomes data derived from electronic health records for cancer populations: a systematic review

Published:2024-03-05 Issue:4 Volume:24 Page:467-475
ISSN:1473-7167
Container-title:Expert Review of Pharmacoeconomics & Outcomes Research
language:en
Short-container-title:Expert Review of Pharmacoeconomics & Outcomes Research

Author:

Sim Jin-Ah¹²,Huang Xiaolei³,Horan Madeline R.¹,Baker Justin N.⁴,Huang I-Chan¹

Affiliation:

1. Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, TN, USA

2. Department of AI Convergence, Hallym University, Chuncheon, Republic of Korea

3. Department of Computer Science, University of Memphis, Memphis, TN, USA

4. Department of Pediatrics, Stanford University, Stanford, CA, USA

Funder

National Cancer Institute

the National Science Foundation

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/14737167.2024.2322664

Reference58 articles.

1. Patient reported outcomes in oncology: changing perspectives—a systematic review

2. The use of patient-reported outcomes (PROs) in cancer care: a realistic strategy

3. The importance of patient-reported outcomes in clinical trials and strategies for future optimization

4. Overall Survival Results of a Trial Assessing Patient-Reported Outcomes for Symptom Monitoring During Routine Cancer Treatment

5. Evaluation of psychometric properties of needs assessment tools in cancer patients: A systematic literature review

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