Natural language processing for the surveillance of postoperative venous thromboembolism-Reference-Cited by-同舟云学术

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Natural language processing for the surveillance of postoperative venous thromboembolism

Published:2021-10 Issue:4 Volume:170 Page:1175-1182
ISSN:0039-6060
Container-title:Surgery
language:en
Short-container-title:Surgery

Author:

Shi Jianlin,Hurdle John F.,Johnson Stacy A.,Ferraro Jeffrey P.,Skarda David E.,Finlayson Samuel R.G.,Samore Matthew H.,Bucher Brian T.

Funder

National Institutes of Health

Agency for Healthcare Research and Quality

Publisher

Elsevier BV

Subject

Surgery

Reference35 articles.

1. A comparison of the new, parsimonious tool Surgical Risk Preoperative Assessment System (SURPAS) to the American College of Surgeons (ACS) risk calculator in emergency surgery;Rozeboom;Surgery,2020

2. Early versus late venous thromboembolism: a secondary analysis of data from the PROPPR trial;Myers;Surgery,2019

3. Clinical registries and quality measurement in surgery: a systematic review;Stey;Surgery,2015

4. and the Illinois Surgical Quality Improvement Collaborative (ISQIC). Multi-institution evaluation of adherence to comprehensive postoperative VTE chemoprophylaxis;Yang;Ann Surg,2020

5. Clinical validation of the AHRQ postoperative venous thromboembolism patient safety indicator;Henderson;Jt Comm J Qual Patient Saf,2009

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1. An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation (Preprint);2024-06-28

2. Machine learning in cancer-associated thrombosis: hype or hope in untangling the clot;Bleeding, Thrombosis and Vascular Biology;2024-05-16

3. Natural language processing of clinical notes enables early inborn error of immunity risk ascertainment;Journal of Allergy and Clinical Immunology: Global;2024-05

4. Case Sampling for Evaluating Hospital Postoperative Morbidity in US Surgical Quality Improvement Programs;JAMA Surgery;2023-12-27

5. Improving VTE Identification through Adaptive NLP Model Selection and Clinical Expert Rule-based Classifier from Radiology Reports;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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