Symptom‐based latent classes of persons with irritable bowel syndrome-Reference-Cited by-同舟云学术

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Symptom‐based latent classes of persons with irritable bowel syndrome

Published:2019-08-08 Issue:5 Volume:42 Page:382-391
ISSN:0160-6891
Container-title:Research in Nursing & Health
language:en
Short-container-title:Res Nurs Health

Author:

Han Claire J.¹²,Pike Ken³,Jarrett Monica E.⁴,Heitkemper Margaret M.⁴

Affiliation:

1. Departments of Public Health and Health ServiceUniversity of Washington Seattle Washington

2. Biobehavioral Cancer Prevention and Control Training ProgramFred Hutchinson Cancer Research Center Seattle Washington

3. Department of Biostatistics and Office of Nursing ResearchUniversity of Washington Seattle Washington

4. Department of Biobehavioral Nursing and Health InformaticsUniversity of Washington Seattle Washington

Funder

National Cancer Institute

National Institutes of Health

Publisher

Wiley

Subject

General Nursing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nur.21974

Reference43 articles.

1. Faecal incontinence—the hidden scourge of irritable bowel syndrome: a cross-sectional study

2. Comparison of the Rome IV and Rome III criteria for IBS diagnosis: A cross-sectional survey

3. Defining the Symptom Cluster: How Far Have We Come?

4. Symptom interpretation and quality of life in patients with irritable bowel syndrome;Bray B. D.;British Journal of General Practice,2006

5. Gender differences in irritable bowel syndrome

Cited by 15 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. Unsupervised machine learning highlights the challenges of subtyping disorders of gut‐brain interaction;Neurogastroenterology & Motility;2024-08-09

2. Latent profile analysis reveals the central role of psychological symptoms in driving disease severity in chronic constipation;Neurogastroenterology & Motility;2024-02-23

3. Subtyping irritable bowel syndrome using cluster analysis: a systematic review;BMC Bioinformatics;2023-12-15

4. Exploring new subgroups for irritable bowel syndrome using a machine learning algorithm;Scientific Reports;2023-10-28

5. Age Differences in Core Symptoms and Symptom Relationships in Patients With Irritable Bowel Syndrome: A Network Analysis;American Journal of Gastroenterology;2023-04-11

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