Aiding Clinical Triage with Text Classification

[1]  Richard Dobson,et al.  Comparative Analysis of Text Classification Approaches in Electronic Health Records , 2020, BIONLP.

[2]  Jorge E. Pezoa,et al.  Active Learning for Biomedical Text Classification Based on Automatically Generated Regular Expressions , 2021, IEEE Access.

[3]  M. Kääriäinen,et al.  The effects of intervention on quality of telephone triage at an emergency unit in Finland: Nurses' perspective. , 2016, International emergency nursing.

[4]  Ronald J Ozminkowski,et al.  An economic analysis of a nurse-led telephone triage service , 2014, Journal of telemedicine and telecare.

[5]  D. Randall,et al.  Compliance with telephone triage advice among adults aged 45 years and older: an Australian data linkage study , 2017, BMC Health Services Research.

[6]  M. Ryvicker,et al.  Home Healthcare Clinical Notes Predict Patient Hospitalization and Emergency Department Visits , 2020, Nursing research.

[7]  Gayatri Saberwal,et al.  In eHealth in India today, the nature of work, the challenges and the finances: an interview-based study , 2014, BMC Medical Informatics and Decision Making.

[8]  Andrew Georgiou,et al.  The quality, safety and governance of telephone triage and advice services – an overview of evidence from systematic reviews , 2017, BMC Health Services Research.

[9]  Charu C. Aggarwal,et al.  Data Clustering: Algorithms and Applications , 2014 .

[10]  Patrícia Augustin Jaques,et al.  An Analysis of Hierarchical Text Classification Using Word Embeddings , 2018, Inf. Sci..

[11]  Norisma Idris,et al.  Clinical text classification research trends: Systematic literature review and open issues , 2019, Expert Syst. Appl..

[12]  Roberto de Alencar Lotufo,et al.  BERTimbau: Pretrained BERT Models for Brazilian Portuguese , 2020, BRACIS.

[13]  L. Jorm,et al.  Emergency Department Attendance after Telephone Triage: A Population‐Based Data Linkage Study , 2018, Health services research.

[14]  Guide to Big Data Applications , 2018 .

[15]  David Gómez Guillén,et al.  An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification , 2016, Neural Computation.

[16]  Ammar Ismael Kadhim.  Survey on supervised machine learning techniques for automatic text classification , 2019, Artificial Intelligence Review.

[17]  Yuan Lu,et al.  An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records , 2015, Artif. Intell. Medicine.

[18]  Mostafa Rahimi Azghadi,et al.  Automated Machine Learning for Healthcare and Clinical Notes Analysis , 2021, Comput..

[19]  Parisa Rashidi,et al.  Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis , 2017, IEEE Journal of Biomedical and Health Informatics.

[20]  Ben J. Marafino,et al.  Efficient and sparse feature selection for biomedical text classification via the elastic net: Application to ICU risk stratification from nursing notes , 2015, J. Biomed. Informatics.