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1
Machine Learning in Detection of Undiagnosed Celiac Disease.机器学习在未确诊乳糜泻检测中的应用
Clin Gastroenterol Hepatol. 2018 Aug;16(8):1354-1355.e1. doi: 10.1016/j.cgh.2017.12.022. Epub 2017 Dec 16.
2
Analysis of Biopsies From Duodenal Bulbs of All Endoscopy Patients Increases Detection of Abnormalities but has a Minimal Effect on Diagnosis of Celiac Disease.对所有内镜患者十二指肠球部进行活检可提高异常检出率，但对乳糜泻的诊断影响极小。
Clin Gastroenterol Hepatol. 2016 Nov;14(11):1582-1588. doi: 10.1016/j.cgh.2016.02.026. Epub 2016 Mar 7.
3
Non-invasive monitoring of celiac disease: current practice and recent advances.
MLO Med Lab Obs. 2012 Dec;44(12):15-6.
4
Recent advances in biosensors for diagnosis of celiac disease: A review.生物传感器在乳糜泻诊断中的最新进展：综述。
Biotechnol Bioeng. 2019 Feb;116(2):444-451. doi: 10.1002/bit.26856. Epub 2018 Dec 5.
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Yield of diagnostic tests for celiac disease in individuals with symptoms suggestive of irritable bowel syndrome: systematic review and meta-analysis.对有肠易激综合征疑似症状个体进行乳糜泻诊断测试的收益：系统评价与荟萃分析。
Arch Intern Med. 2009 Apr 13;169(7):651-8. doi: 10.1001/archinternmed.2009.22.
6
[Undiagnosed celiac disease in adults unmasked by endoscopy].[内镜检查发现的成人未确诊乳糜泻]
Harefuah. 2003 Jan;142(1):14-6, 79.
7
Routine duodenal biopsies: is it time to change our minds?常规十二指肠活检：是时候改变我们的想法了吗？
Gastrointest Endosc. 2004 Feb;59(2):331-2. doi: 10.1016/s0016-5107(03)02146-1.
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Potential Excessive Testing at Scale: Biomarkers, Genomics, and Machine Learning.大规模潜在过度检测：生物标志物、基因组学与机器学习
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Celiac Disease: Ten Things That Every Gastroenterologist Should Know.乳糜泻：每位胃肠病学家都应该知道的十件事。
Clin Gastroenterol Hepatol. 2015 Aug;13(8):1396-404; quiz e127-9. doi: 10.1016/j.cgh.2014.07.024. Epub 2014 Jul 19.
10
Comparative Accuracy of Diagnostic Tests for Celiac Disease.乳糜泻诊断试验的比较准确性
Am Fam Physician. 2017 Jun 1;95(11):726-728.

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Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters.基于生化检测参数的机器学习对乳糜泻抗体血清阳性的预测
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A machine learning tool for early identification of celiac disease autoimmunity.一种用于早期识别乳糜泻自身免疫性的机器学习工具。
Sci Rep. 2024 Dec 28;14(1):30760. doi: 10.1038/s41598-024-80817-0.
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Automated detection of celiac disease using Machine Learning Algorithms.基于机器学习算法的自动乳糜泻检测。
Sci Rep. 2022 Mar 8;12(1):4071. doi: 10.1038/s41598-022-07199-z.
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Integrated Relaxation Pressure Classification and Probe Positioning Failure Detection in High-Resolution Esophageal Manometry Using Machine Learning.基于机器学习的高分辨率食管测压中综合松弛压力分类和探头定位失败检测。
Sensors (Basel). 2021 Dec 30;22(1):253. doi: 10.3390/s22010253.
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Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology.人工智能在胃肠病学和肝病学中的应用面临的挑战和机遇。
World J Gastroenterol. 2021 Oct 7;27(37):6191-6223. doi: 10.3748/wjg.v27.i37.6191.
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Precision medicine and machine learning towards the prediction of the outcome of potential celiac disease.精准医学与机器学习用于预测潜在乳糜泻的结果
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A systematic review of the applications of artificial intelligence and machine learning in autoimmune diseases.人工智能和机器学习在自身免疫性疾病中的应用的系统评价。
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本文引用的文献

1
Screening for Celiac Disease: US Preventive Services Task Force Recommendation Statement.筛查乳糜泻：美国预防服务工作组推荐声明。
JAMA. 2017 Mar 28;317(12):1252-1257. doi: 10.1001/jama.2017.1462.
2
At-Risk Screened Children with Celiac Disease are Comparable in Disease Severity and Dietary Adherence to Those Found because of Clinical Suspicion: A Large Cohort Study.患有乳糜泻的风险筛查儿童在疾病严重程度和饮食依从性方面与因临床怀疑而确诊的儿童相当：一项大型队列研究。
J Pediatr. 2017 Apr;183:115-121.e2. doi: 10.1016/j.jpeds.2016.12.077. Epub 2017 Jan 30.
3
Less Hidden Celiac Disease But Increased Gluten Avoidance Without a Diagnosis in the United States: Findings From the National Health and Nutrition Examination Surveys From 2009 to 2014.美国隐匿性乳糜泻减少但无诊断情况下麸质回避增加：2009年至2014年国家健康与营养检查调查结果
Mayo Clin Proc. 2016 Dec 5. doi: 10.1016/j.mayocp.2016.10.012.
4
Prevalence and Morbidity of Undiagnosed Celiac Disease From a Community-Based Study.基于社区研究的未诊断乳糜泻的患病率和发病率
Gastroenterology. 2017 Mar;152(4):830-839.e5. doi: 10.1053/j.gastro.2016.11.043. Epub 2016 Dec 1.
5
Usefulness of symptoms to screen for celiac disease.症状在筛查乳糜泻中的作用。
Pediatrics. 2014 Feb;133(2):211-8. doi: 10.1542/peds.2012-3765. Epub 2014 Jan 13.
6
ACG clinical guidelines: diagnosis and management of celiac disease.ACG 临床指南：乳糜泻的诊断和管理。
Am J Gastroenterol. 2013 May;108(5):656-76; quiz 677. doi: 10.1038/ajg.2013.79. Epub 2013 Apr 23.
7
The prevalence of celiac disease in the United States.美国的乳糜泻患病率。
Am J Gastroenterol. 2012 Oct;107(10):1538-44; quiz 1537, 1545. doi: 10.1038/ajg.2012.219. Epub 2012 Jul 31.
8
Diagnostic testing for celiac disease among patients with abdominal symptoms: a systematic review.对有腹部症状的患者进行乳糜泻的诊断性检测：系统评价。
JAMA. 2010 May 5;303(17):1738-46. doi: 10.1001/jama.2010.549.

Machine Learning in Detection of Undiagnosed Celiac Disease.

作者信息

Hujoel Isabel A, Murphree Dennis H, Van Dyke Carol T, Choung Rok Seon, Sharma Ayush, Murray Joseph A, Rubio-Tapia Alberto

机构信息

Division of Internal Medicine, Mayo Clinic, Rochester, Minnesota.

Division of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.

出版信息

Clin Gastroenterol Hepatol. 2018 Aug;16(8):1354-1355.e1. doi: 10.1016/j.cgh.2017.12.022. Epub 2017 Dec 16.

DOI:10.1016/j.cgh.2017.12.022
PMID:29253540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6004230/
Abstract
摘要