通过关联规则挖掘识别症状群
Identifying Symptom Clusters Through Association Rule Mining.
作者信息
Biggs Mikayla, Floricel Carla, Van Dijk Lisanne, Mohamed Abdallah S R, Fuller C David, Marai G Elisabeta, Zhang Xinhua, Canahuate Guadalupe
机构信息
University of Iowa, Iowa City, IA, USA.
University of Illinois in Chicago, Chicago, IL, USA.
出版信息
Artif Intell Med Conf Artif Intell Med (2005-). 2021 Jun;12721:491-496. doi: 10.1007/978-3-030-77211-6_58. Epub 2021 Jun 8.
Abstract
Cancer patients experience many symptoms throughout their cancer treatment and sometimes suffer from lasting effects post-treatment. Patient-Reported Outcome (PRO) surveys provide a means for monitoring the patient's symptoms during and after treatment. Symptom cluster (SC) research seeks to understand these symptoms and their relationships to define new treatment and disease management methods to improve patient's quality of life. This paper introduces association rule mining (ARM) as a novel alternative for identifying symptom clusters. We compare the results to prior research and find that while some of the SCs are similar, ARM uncovers more nuanced relationships between symptoms such as anchor symptoms that serve as connections between interference and cancer-specific symptoms.
摘要
癌症患者在整个癌症治疗过程中会经历多种症状，有时还会遭受治疗后的长期影响。患者报告结局（PRO）调查提供了一种在治疗期间和治疗后监测患者症状的方法。症状群（SC）研究旨在了解这些症状及其关系，以定义新的治疗和疾病管理方法，从而提高患者的生活质量。本文介绍了关联规则挖掘（ARM）作为一种识别症状群的新方法。我们将结果与先前的研究进行比较，发现虽然有些症状群相似，但ARM揭示了症状之间更细微的关系，例如作为干扰症状和癌症特异性症状之间联系的锚定症状。
相似文献
1
Identifying Symptom Clusters Through Association Rule Mining.通过关联规则挖掘识别症状群
Artif Intell Med Conf Artif Intell Med (2005-). 2021 Jun;12721:491-496. doi: 10.1007/978-3-030-77211-6_58. Epub 2021 Jun 8.
2
Symptom clusters and quality of life in breast cancer survivors after cancer treatment in a tertiary hospital in Korea.韩国一家三级医院癌症治疗后乳腺癌幸存者的症状群与生活质量
Eur J Cancer Care (Engl). 2018 Nov;27(6):e12919. doi: 10.1111/ecc.12919. Epub 2018 Sep 25.
3
Validation of symptom clusters in patients with metastatic bone pain.验证转移性骨痛患者的症状群。
Curr Oncol. 2008 Oct;15(5):211-8. doi: 10.3747/co.v15i5.289.
4
Experience of living with symptom clusters in postoperative pancreatic cancer patients.术后胰腺癌患者症状群体验
Eur J Oncol Nurs. 2023 Feb;62:102266. doi: 10.1016/j.ejon.2022.102266. Epub 2022 Dec 27.
5
Symptom clustering and quality of life in patients with ovarian cancer undergoing chemotherapy.接受化疗的卵巢癌患者的症状群与生活质量
Eur J Oncol Nurs. 2017 Oct;30:8-14. doi: 10.1016/j.ejon.2017.07.007. Epub 2017 Jul 13.
6
Symptom clusters during palliative chemotherapy and their influence on functioning and quality of life.姑息化疗期间的症状群及其对功能和生活质量的影响。
Support Care Cancer. 2017 May;25(5):1519-1527. doi: 10.1007/s00520-016-3545-z. Epub 2016 Dec 28.
7
Cancer symptom clusters: old concept but new data.癌症症状群：旧概念，新数据。
Am J Hosp Palliat Care. 2010 Jun;27(4):282-8. doi: 10.1177/1049909110364048. Epub 2010 Mar 29.
8
Electronic patient-reported outcomes monitoring during lung cancer chemotherapy: A nested cohort within the PRO-TECT pragmatic trial (AFT-39).肺癌化疗期间的电子患者报告结局监测：实用临床试验（AFT-39）中的嵌套队列。
Lung Cancer. 2021 Dec;162:1-8. doi: 10.1016/j.lungcan.2021.09.020. Epub 2021 Sep 30.
9
Distress-Based Gastrointestinal Symptom Clusters and Impact on Symptom Interference and Quality of Life in Patients with a Hematologic Malignancy Receiving Chemotherapy.基于痛苦的胃肠道症状群及其对接受化疗的血液系统恶性肿瘤患者症状干扰和生活质量的影响
J Pain Symptom Manage. 2017 Apr;53(4):751-758. doi: 10.1016/j.jpainsymman.2016.11.005. Epub 2016 Dec 29.
10
Symptom clusters in head and neck cancer patients with endotracheal tube: Which symptom clusters are independently associated with health-related quality of life?头颈部癌症患者带气管插管的症状群：哪些症状群与健康相关的生活质量独立相关？
Eur J Oncol Nurs. 2020 Oct;48:101819. doi: 10.1016/j.ejon.2020.101819. Epub 2020 Aug 5.
引用本文的文献
1
PRO-Based Stratification Improves Model Prediction for Toxicity and Survival of Head and Neck Cancer Patients.基于PRO的分层改善了头颈部癌患者毒性和生存的模型预测。
IEEE J Biomed Health Inform. 2025 Feb;29(2):807-814. doi: 10.1109/JBHI.2024.3515092. Epub 2025 Feb 10.
2
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining.玫瑰有刺：通过可视化分析和序列规则挖掘了解肿瘤学护理提供的弊端。
IEEE Trans Vis Comput Graph. 2024 Jan;30(1):1227-1237. doi: 10.1109/TVCG.2023.3326939. Epub 2023 Dec 25.
3
Analysis of COVID-19 vaccine adverse event using language model and unsupervised machine learning.使用语言模型和无监督机器学习分析 COVID-19 疫苗不良事件。
PLoS One. 2023 Feb 21;18(2):e0282119. doi: 10.1371/journal.pone.0282119. eCollection 2023.
4
THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy.THALIS：癌症治疗中纵向症状的人机分析。
IEEE Trans Vis Comput Graph. 2022 Jan;28(1):151-161. doi: 10.1109/TVCG.2021.3114810. Epub 2021 Dec 24.
本文引用的文献
1
A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine.一种用于精准医学中计算和分析淋巴结癌相似性的空间邻域方法。
J Biomed Inform. 2020;112S:100067. doi: 10.1016/j.yjbinx.2020.100067. Epub 2020 Feb 3.
2
Precision toxicity correlates of tumor spatial proximity to organs at risk in cancer patients receiving intensity-modulated radiotherapy.肿瘤患者接受调强放疗时肿瘤与危及器官的空间邻近度与精准毒性的相关性。
Radiother Oncol. 2020 Jul;148:245-251. doi: 10.1016/j.radonc.2020.05.023. Epub 2020 May 16.
3
Clustering of Largely Right-Censored Oropharyngeal Head and Neck Cancer Patients for Discriminative Groupings to Improve Outcome Prediction.大规模右截断口咽头颈部癌症患者聚类以进行判别分组，以改善预后预测。
Sci Rep. 2020 Mar 2;10(1):3811. doi: 10.1038/s41598-020-60140-0.
4
Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration.基于队列的 T-SSIM 视觉计算在放射治疗预测和探索中的应用。
IEEE Trans Vis Comput Graph. 2020 Jan;26(1):949-959. doi: 10.1109/TVCG.2019.2934546. Epub 2019 Aug 22.
5
Chronic radiation-associated dysphagia in oropharyngeal cancer survivors: Towards age-adjusted dose constraints for deglutitive muscles.口咽癌幸存者的慢性放射性吞咽困难：制定针对吞咽肌肉的年龄校正剂量限制。
Clin Transl Radiat Oncol. 2019 Jun 15;18:16-22. doi: 10.1016/j.ctro.2019.06.005. eCollection 2019 Sep.
6
Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots.癌症治疗的精准风险分析：交互式列线图与生存曲线。
IEEE Trans Vis Comput Graph. 2019 Apr;25(4):1732-1745. doi: 10.1109/TVCG.2018.2817557. Epub 2018 Mar 20.
7
Conditional Survival Analysis of Patients With Locally Advanced Laryngeal Cancer: Construction of a Dynamic Risk Model and Clinical Nomogram.局部晚期喉癌患者的条件生存分析：动态风险模型的构建和临床列线图。
Sci Rep. 2017 Mar 9;7:43928. doi: 10.1038/srep43928.
8
Advancing Symptom Science Through Symptom Cluster Research: Expert Panel Proceedings and Recommendations.通过症状群研究推进症状科学：专家小组会议记录与建议
J Natl Cancer Inst. 2017 Jan 24;109(4). doi: 10.1093/jnci/djw253. Print 2017 Apr.
9
Patterns of symptom burden during radiotherapy or concurrent chemoradiotherapy for head and neck cancer: a prospective analysis using the University of Texas MD Anderson Cancer Center Symptom Inventory-Head and Neck Module.头颈部癌放疗或同步放化疗期间的症状负担模式：使用德克萨斯大学MD安德森癌症中心症状量表-头颈部模块的前瞻性分析
Cancer. 2014 Jul 1;120(13):1975-84. doi: 10.1002/cncr.28672. Epub 2014 Apr 7.
10
Cancer symptom clusters: clinical and research methodology.癌症症状群：临床与研究方法学。
J Palliat Med. 2011 Oct;14(10):1149-66. doi: 10.1089/jpm.2010.0507. Epub 2011 Aug 23.
Zotero 插件