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Symptom Network Analysis and Unsupervised Clustering of Oncology Patients Identifies Drivers of Symptom Burden and Patient Subgroups With Distinct Symptom Patterns

Cancer Medicine(2024)10.1002/cam4.70278Source: DataRank Database

Symptom Network Analysis and Unsupervised Clustering of Oncology Patients Identifies Drivers of Symptom Burden and Patient Subgroups With Distinct Symptom Patterns is a research paper published in Cancer Medicine (2024). On theSindex it has a DataRank of 0. It has been cited 9 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (6 grants)OA: goldTopics (32)IDs (PubMed, PMC)

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Authors (9)

Terri S. Armstrong ORCID,Yvette P. Conley ORCID,Bruce A. Cooper ORCID,Marilyn J. Hammer ORCID,Jon D. Levine ORCID

Live enrichment

PubMed:39377555 PMC:PMC11460217

National Cancer Institute

Grant: CA134900

National Cancer Institute

Grant: CA151592

National Cancer Institute

Grant: Intramural Research Program

NCI NIH HHS

Grant: R01 CA134900

National Institutes of Health

Grant: 5R01CA134900-06

Symptoms Clusters in Oncology Patients Receiving Chemotherapy

Dr. Susan Love Research Foundation's Army of Women

goldLicense: CC BY

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/cam4.70278

Europe_PMChttps://europepmc.org/articles/PMC11460217

Europe_PMChttps://europepmc.org/articles/PMC11460217?pdf=render

https://doi.org/10.1002/cam4.70278

https://pubmed.ncbi.nlm.nih.gov/39377555

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

HumansNeoplasmsSeverity of Illness IndexCluster AnalysisAdultAgedMiddle AgedFemaleMaleSymptom AssessmentSymptom Burden

Keywords

Quality of lifeGaussian Graphical ModelsNetwork AnalysisPrecision MedicineMaleAdult610Neoplasms. Tumors. Oncology. Including cancer and carcinogensMiddle AgedSeverity of Illness IndexSymptom BurdenNeoplasmsHumansCluster AnalysisFemaleSymptom AssessmentRC254-282Research ArticleAged