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Dublin Core
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January 2022 List
Text
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January 2022 List
URL Address
<a href="http://doi.org/10.2196/26777" target="_blank" rel="noreferrer noopener">http://doi.org/10.2196/26777</a>
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
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Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study
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Journal of Medical Internet Research
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2021
Subject
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machine learning; pediatric oncology; Patient reported outcomes; natural language processing; PROs
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Lu Z; Sim J; Wang JX; Forrest CB; Krull KR; Srivastava D; Hudson MM; Robison LL; Baker JN; Huang I-C
Description
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Background: Assessing patient-reported outcomes (PROs) through interviews or conversations during clinical encounters provides insightful information about survivorship. Objective: This study aims to test the validity of natural language processing (NLP) and machine learning (ML) algorithms in identifying different attributes of pain interference and fatigue symptoms experienced by child and adolescent survivors of cancer versus the judgment by PRO content experts as the gold standard to validate NLP/ML algorithms. Methods: This cross-sectional study focused on child and adolescent survivors of cancer, aged 8 to 17 years, and caregivers, from whom 391 meaning units in the pain interference domain and 423 in the fatigue domain were generated for analyses. Data were collected from the After Completion of Therapy Clinic at St. Jude Children’s Research Hospital. Experienced pain interference and fatigue symptoms were reported through in-depth interviews. After verbatim transcription, analyzable sentences (ie, meaning units) were semantically labeled by 2 content experts for each attribute (physical, cognitive, social, or unclassified). Two NLP/ML methods were used to extract and validate the semantic features: bidirectional encoder representations from transformers (BERT) and Word2vec plus one of the ML methods, the support vector machine or extreme gradient boosting. Receiver operating characteristic and precision-recall curves were used to evaluate the accuracy and validity of the NLP/ML methods. Results: Compared with Word2vec/support vector machine and Word2vec/extreme gradient boosting, BERT demonstrated higher accuracy in both symptom domains, with 0.931 (95% CI 0.905-0.957) and 0.916 (95% CI 0.887-0.941) for problems with cognitive and social attributes on pain interference, respectively, and 0.929 (95% CI 0.903-0.953) and 0.917 (95% CI 0.891-0.943) for problems with cognitive and social attributes on fatigue, respectively. In addition, BERT yielded superior areas under the receiver operating characteristic curve for cognitive attributes on pain interference and fatigue domains (0.923, 95% CI 0.879-0.997; 0.948, 95% CI 0.922-0.979) and superior areas under the precision-recall curve for cognitive attributes on pain interference and fatigue domains (0.818, 95% CI 0.735-0.917; 0.855, 95% CI 0.791-0.930). Conclusions: The BERT method performed better than the other methods. As an alternative to using standard PRO surveys, collecting unstructured PROs via interviews or conversations during clinical encounters and applying NLP/ML methods can facilitate PRO assessment in child and adolescent cancer survivors.
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<a href="http://doi.org/10.2196/26777" target="_blank" rel="noreferrer noopener">10.2196/26777</a>
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Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
2021
Baker JN
Forrest CB
Huang I-C
Hudson MM
January 2022 List
Journal Of Medical Internet Research
Krull KR
Lu Z
machine learning
natural language processing
Patient Reported Outcomes
Pediatric Oncology
PROs
Robison LL
Sim J
Srivastava D
Wang JX
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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July 2023 List
Text
A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.
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July List 2023
URL Address
<a href="http://doi.org/10.1016/j.jpainsymman.2023.06.005" target="_blank" rel="noreferrer noopener"> http://doi.org/10.1016/j.jpainsymman.2023.06.005</a>
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Integration of Palliative Care in Hematopoietic Cell Transplant: Pediatric Patient and Parent Needs and Attitudes
Publisher
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Journal of Pain and Symptom Management
Date
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2023
Subject
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Caregivers; Hematopoietic Cell Transplantation; Palliative Care; Patients; Pediatrics; Quality of life
Creator
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Levine DR; Epperly R; Collins G; Talleur AC; Mandrell B; Pritchard M; Sarvode MS; Li C; Lu Z; Baker JN
Description
An account of the resource
Context Early integration of palliative care (PC) in hematopoietic cell transplantation (HCT) has demonstrated benefits, yet barriers remain, including perceived lack of patient/caregiver receptivity despite no data on attitudes toward PC and limited patient/caregiver reported outcomes in pediatric HCT. Objectives This study aimed to evaluate perceived symptom burden and patient/parent attitudes toward early PC integration in pediatric HCT. Methods Following IRB approval, consent/assent, eligible participants were surveyed at St. Jude Children's Research Hospital including English-speaking patients aged 10-17, 1month -1year from HCT, and their parents/primary-caregivers, as well as parent/primary-caregivers of living HCT recipients <age-10. Data were assessed for trends in response content frequencies, percentages, and associations. Results 81 participants, within one year of HCT, at St. Jude Children's Research Hospital were enrolled including: 36 parents of patients<age-10, 24 parents of patients ≥age-10, and 21 patients≥age-10. Most (65%) were 1-3 months from HCT. Analysis revealed high levels of perceived symptom suffering in the first month of HCT. 85.7% of patients and 73.4% of parents expressed that a-great-deal/a-lot of attention should be paid to quality-of-life from the start of HCT. Most respondents (patients-52.4/parents-50%) indicated they would likely have wanted early PC consult and very few (0%-patients/3.3%-parents) reported definite opposition to early PC involvement in HCT. Conclusion Our findings suggest that patient/family receptivity should not be a barrier to early PC in pediatric HCT; obtaining patient reported outcomes is a priority in the setting of high symptom burden; and robust quality-of-life directed care with early PC integration is both indicated and acceptable to patients/caregivers.
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<a href="http://doi.org/10.1016/j.jpainsymman.2023.06.005" target="_blank" rel="noreferrer noopener">10.1016/j.jpainsymman.2023.06.005</a>
Rights
Information about rights held in and over the resource
Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
2023
Baker JN
Caregivers
Collins G
Epperly R
Hematopoietic Cell Transplantation
Journal of Pain and Symptom Management
July List 2023
Levine DR
Li C
Lu Z
Mandrell B
Palliative Care
Patients
Pediatrics
Pritchard M
Quality Of Life
Sarvode MS
Talleur AC