An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records
Background Diagnosis codes are assigned to medical records in healthcare facilities by
trained coders by reviewing all physician authored documents associated with a patient's …
trained coders by reviewing all physician authored documents associated with a patient's …
Interpretable predictions of clinical outcomes with an attention-based recurrent neural network
The increasing accumulation of healthcare data provides researchers with ample
opportunities to build machine learning approaches for clinical decision support and to …
opportunities to build machine learning approaches for clinical decision support and to …
[HTML][HTML] Predicting mental conditions based on “history of present illness” in psychiatric notes with deep neural networks
Background: Applications of natural language processing to mental health notes are not
common given the sensitive nature of the associated narratives. The CEGS N-GRID 2016 …
common given the sensitive nature of the associated narratives. The CEGS N-GRID 2016 …
Neural transfer learning for assigning diagnosis codes to EMRs
Abstract Objective Electronic medical records (EMRs) are manually annotated by healthcare
professionals and specialized medical coders with a standardized set of alphanumeric …
professionals and specialized medical coders with a standardized set of alphanumeric …
A hierarchical method to automatically encode Chinese diagnoses through semantic similarity estimation
Background The accumulation of medical documents in China has rapidly increased in the
past years. We focus on develo** a method that automatically performs ICD-10 code …
past years. We focus on develo** a method that automatically performs ICD-10 code …
Natural language processing and machine learning to identify people who inject drugs in electronic health records
D Goodman-Meza, A Tang, B Aryanfar… - Open forum …, 2022 - academic.oup.com
Background Improving the identification of people who inject drugs (PWID) in electronic
medical records can improve clinical decision making, risk assessment and mitigation, and …
medical records can improve clinical decision making, risk assessment and mitigation, and …
[HTML][HTML] EMR coding with semi–parametric multi–head matching networks
Coding EMRs with diagnosis and procedure codes is an indispensable task for billing,
secondary data analyses, and monitoring health trends. Both speed and accuracy of coding …
secondary data analyses, and monitoring health trends. Both speed and accuracy of coding …
Multi-label classification methods for improving comorbidities identification
A Wosiak, K Glinka, D Zakrzewska - Computers in biology and medicine, 2018 - Elsevier
The medical diagnostic process may be supported by computational classification
techniques. In many cases, patients are affected by multiple illnesses, and more than one …
techniques. In many cases, patients are affected by multiple illnesses, and more than one …
Improving children diagnostics by efficient multi-label classification method
K Glinka, A Wosiak, D Zakrzewska - … 2016 Kamień Śląski, Poland, June 20 …, 2016 - Springer
Using intelligent computational methods may support children diagnostics process. As in
many cases patients are affected by multiple illnesses, multi-perspective view on patient …
many cases patients are affected by multiple illnesses, multi-perspective view on patient …
Analyzing Diagnostic Discrepancies in Emergency Department Using the TriNetX Big Data
X Huo, J Finkelstein - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
The diagnostic discrepancies between emergency department diagnosis and hospital
discharge diagnosis could affect patient outcomes. The aim of this study was to analyze the …
discharge diagnosis could affect patient outcomes. The aim of this study was to analyze the …