Literature DB >> 26286870

Natural Language Processing and the Promise of Big Data: Small Step Forward, but Many Miles to Go.

Thomas M Maddox1, Michael A Matheny2.   

Abstract

Keywords:  Editorials; database; electronic health records; natural language processing; percutaneous coronary intervention

Mesh：

Year:  2015        PMID： 26286870     DOI： 10.1161/CIRCOUTCOMES.115.002125

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN： 1941-7713


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  16 in total

1.  Evaluation of provider documentation patterns as a tool to deliver ongoing patient-centred diabetes education and support.

Authors:  Qing Ye; Richa Patel; Uzma Khan; Suzanne Austin Boren; Min Soon Kim
Journal:  Int J Clin Pract       Date:  2019-12-21       Impact factor: 2.503

2.  Evaluation of interventions to improve inpatient hospital documentation within electronic health records: a systematic review.

Authors:  Natalie Wiebe; Lucia Otero Varela; Daniel J Niven; Paul E Ronksley; Nicolas Iragorri; Hude Quan
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

Review 3.  Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.

Authors:  D Demner-Fushman; N Elhadad
Journal:  Yearb Med Inform       Date:  2016-11-10

4.  Using deep learning-based natural language processing to identify reasons for statin nonuse in patients with atherosclerotic cardiovascular disease.

Authors:  Ashish Sarraju; Jean Coquet; Alban Zammit; Antonia Chan; Summer Ngo; Tina Hernandez-Boussard; Fatima Rodriguez
Journal:  Commun Med (Lond)       Date:  2022-07-15

5.  Indicators of missing Electronic Medical Record (EMR) discharge summaries: A retrospective study on Canadian data.

Authors:  Natalie Wiebe; Yuan Xu; Abdel Aziz Shaheen; Catherine Eastwood; Bastien Boussat; Hude Quan
Journal:  Int J Popul Data Sci       Date:  2020-12-11

6.  Applying Natural Language Processing to Understand Motivational Profiles for Maintaining Physical Activity After a Mobile App and Accelerometer-Based Intervention: The mPED Randomized Controlled Trial.

Authors:  Yoshimi Fukuoka; Teri G Lindgren; Yonatan Dov Mintz; Julie Hooper; Anil Aswani
Journal:  JMIR Mhealth Uhealth       Date:  2018-06-20       Impact factor: 4.773

7.  Automated Identification and Extraction of Exercise Treadmill Test Results.

Authors:  Chengyi Zheng; Benjamin C Sun; Yi-Lin Wu; Ming-Sum Lee; Ernest Shen; Rita F Redberg; Maros Ferencik; Shaw Natsui; Aniket A Kawatkar; Visanee V Musigdilok; Adam L Sharp
Journal:  J Am Heart Assoc       Date:  2020-02-21       Impact factor: 5.501

8.  Application of optical character recognition with natural language processing for large-scale quality metric data extraction in colonoscopy reports.

Authors:  Sobia Nasir Laique; Umar Hayat; Shashank Sarvepalli; Byron Vaughn; Mounir Ibrahim; John McMichael; Kanza Noor Qaiser; Carol Burke; Amit Bhatt; Colin Rhodes; Maged K Rizk
Journal:  Gastrointest Endosc       Date:  2020-09-03       Impact factor: 9.427

9.  Performance of Electronic Health Record Diagnosis Codes for Ambulatory Heart Failure Encounters.

Authors:  Parag Goyal; Budhaditya Bose; Ruth Masterson Creber; Udhay Krishnan; Mei Yang; Joanne Brady; Jyotishman Pathak
Journal:  J Card Fail       Date:  2020-08-02       Impact factor: 5.712

10.  A Natural Language Processing Tool for Large-Scale Data Extraction from Echocardiography Reports.

Authors:  Chinmoy Nath; Mazen S Albaghdadi; Siddhartha R Jonnalagadda
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240
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