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Machine-Learning Algorithm to Improve Cohort Identification in Interstitial Lung Disease.

作者信息

Farrand Erica, Gologorskaya Oksana, Mills Hunter, Radhakrishnan Lakshmi, Collard Harold R, Butte Atul J

机构信息

Department of Medicine.

Bakar Computational Health Sciences Institute, and.

出版信息

Am J Respir Crit Care Med. 2023 May 15;207(10):1398-1401. doi: 10.1164/rccm.202211-2092LE.

DOI:10.1164/rccm.202211-2092LE
PMID:36943196
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10595454/
Abstract
摘要

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The prevalence and burden of interstitial lung diseases in the USA.美国间质性肺疾病的患病率及负担
ERJ Open Res. 2021 Feb 7;8(1). doi: 10.1183/23120541.00630-2021. eCollection 2022 Jan.
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Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A Review.基于机器学习和深度学习的 COVID-19 诊断：综述。
Curr Med Imaging. 2021;17(12):1403-1418. doi: 10.2174/1573405617666210713113439.
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Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data.基于常规临床和实验室数据的肺癌早期识别的机器学习。
Am J Respir Crit Care Med. 2021 Aug 15;204(4):445-453. doi: 10.1164/rccm.202007-2791OC.
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Ensuring Fairness in Machine Learning to Advance Health Equity.确保机器学习的公正性，以促进健康公平。
Ann Intern Med. 2018 Dec 18;169(12):866-872. doi: 10.7326/M18-1990. Epub 2018 Dec 4.
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Code-based Diagnostic Algorithms for Idiopathic Pulmonary Fibrosis. Case Validation and Improvement.基于代码的特发性肺纤维化诊断算法。病例验证和改进。
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