Literature DB >> 23935077

Natural language processing: algorithms and tools to extract computable information from EHRs and from the biomedical literature.

Lucila Ohno-Machado, Prakash Nadkarni, Kevin Johnson.   

Abstract

Mesh：

Year:  2013        PMID： 23935077      PMCID： PMC3756279          DOI： 10.1136/amiajnl-2013-002214

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN： 1067-5027            Impact factor:   4.497


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  11 in total

1.  Disseminating informatics knowledge and training the next generation of leaders.

Authors:  Lucila Ohno-Machado
Journal:  J Am Med Inform Assoc       Date:  2014 Nov-Dec       Impact factor: 4.497

Review 2.  Translational Radiomics: Defining the Strategy Pipeline and Considerations for Application-Part 2: From Clinical Implementation to Enterprise.

Authors:  Faiq Shaikh; Benjamin Franc; Erastus Allen; Evis Sala; Omer Awan; Kenneth Hendrata; Safwan Halabi; Sohaib Mohiuddin; Sana Malik; Dexter Hadley; Rasu Shrestha
Journal:  J Am Coll Radiol       Date:  2018-02-01       Impact factor: 5.532

Review 3.  Towards Personalized Antithrombotic Treatments: Focus on P2Y12 Inhibitors and Direct Oral Anticoagulants.

Authors:  Jean Terrier; Youssef Daali; Pierre Fontana; Chantal Csajka; Jean-Luc Reny
Journal:  Clin Pharmacokinet       Date:  2019-12       Impact factor: 6.447

4.  Challenges and Barriers in Applying Natural Language Processing to Medical Examiner Notes from Fatal Opioid Poisoning Cases.

Authors:  Daniel R Harris; Christian Eisinger; Yanning Wang; Chris Delcher
Journal:  Proc IEEE Int Conf Big Data       Date:  2020-12

5.  A computational framework for converting textual clinical diagnostic criteria into the quality data model.

Authors:  Na Hong; Dingcheng Li; Yue Yu; Qiongying Xiu; Hongfang Liu; Guoqian Jiang
Journal:  J Biomed Inform       Date:  2016-07-19       Impact factor: 6.317

6.  Active learning: a step towards automating medical concept extraction.

Authors:  Mahnoosh Kholghi; Laurianne Sitbon; Guido Zuccon; Anthony Nguyen
Journal:  J Am Med Inform Assoc       Date:  2015-08-07       Impact factor: 4.497

Review 7.  Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview.

Authors:  Sangil Lee; Nicholas M Mohr; W Nicholas Street; Prakash Nadkarni
Journal:  West J Emerg Med       Date:  2019-02-14

8.  Combining deep learning with token selection for patient phenotyping from electronic health records.

Authors:  Zhen Yang; Matthias Dehmer; Olli Yli-Harja; Frank Emmert-Streib
Journal:  Sci Rep       Date:  2020-01-29       Impact factor: 4.379

9.  Identification and Progression of Heart Disease Risk Factors in Diabetic Patients from Longitudinal Electronic Health Records.

Authors:  Jitendra Jonnagaddala; Siaw-Teng Liaw; Pradeep Ray; Manish Kumar; Hong-Jie Dai; Chien-Yeh Hsu
Journal:  Biomed Res Int       Date:  2015-08-25       Impact factor: 3.411

10.  Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records.

Authors:  Ethan Andrew Chi; Gordon Chi; Cheuk To Tsui; Yan Jiang; Karolin Jarr; Chiraag V Kulkarni; Michael Zhang; Jin Long; Andrew Y Ng; Pranav Rajpurkar; Sidhartha R Sinha
Journal:  JAMA Netw Open       Date:  2021-07-01
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