Application of specialized word embeddings and named entity and attribute recognition to the problem of unsupervised automated clinical coding

Author:

Nath NamrataORCID,Lee Sang-HeonORCID,Lee IvanORCID

Funder

Australian Government

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference32 articles.

1. SemEHR: a general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research;Wu;J. Am. Med. Inf. Assoc.,2018

2. Computer-assisted clinical coding : a narrative review of the literature on its benefits , limitations , implementation and impact on clinical coding professionals;Campbell;Health Inf. Manag. J.,2020

3. Explainable prediction of medical codes from clinical text;Mullenbach;NAACL HLT 2018 - 2018 Conf. North Am. Chapter Assoc. Comput. Linguist. Hum. Lang. Technol. - Proc. Conf.,2018

4. Medical code prediction from discharge summary: document to sequence BERT using sequence attention;Heo;Proc. - 20th IEEE Int. Conf. Mach. Learn. Appl. ICMLA,2021

5. T. Baumel et al., “Multi-Label Classification of Patient Notes: Case Study on ICD Code Assignment.”.

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