Natural language processing and machine learning to enable automatic extraction and classification of patients’ smoking status from electronic medical records-Reference-Cited by-同舟云学术

Natural language processing and machine learning to enable automatic extraction and classification of patients’ smoking status from electronic medical records

Published:2020-07-22 Issue:4 Volume:125 Page:316-324
ISSN:0300-9734
Container-title:Upsala Journal of Medical Sciences
language:en
Short-container-title:Upsala Journal of Medical Sciences

Author:

Caccamisi Andrea¹²,Jørgensen Leif³,Dalianis Hercules²,Rosenlund Mats¹³

Affiliation:

1. Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden

2. Department of Computer and Systems Sciences (DSV), Stockholm University, Stockholm, Sweden

3. IQVIA Solutions Sweden AB, Solna, Sweden

Publisher

Uppsala Medical Society

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/03009734.2020.1792010

Reference41 articles.

1. Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system

2. Translating Clinical Research into Clinical Practice: Impact of Using Prediction Rules To Make Decisions

3. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success

4. Identifying Patient Smoking Status from Medical Discharge Records

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