Picture for Oscar Perez-Concha

Oscar Perez-Concha

Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding

Add code
Sep 24, 2024
Viaarxiv icon

Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit

Add code
Apr 14, 2023
Figure 1 for Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit
Figure 2 for Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit
Figure 3 for Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit
Figure 4 for Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit
Viaarxiv icon

Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models

Add code
Dec 13, 2022
Viaarxiv icon

Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding

Add code
Apr 22, 2022
Figure 1 for Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding
Figure 2 for Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding
Figure 3 for Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding
Figure 4 for Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding
Viaarxiv icon

De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers

Add code
Jan 01, 2021
Figure 1 for De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers
Figure 2 for De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers
Figure 3 for De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers
Figure 4 for De-identifying Hospital Discharge Summaries: An End-to-End Framework using Ensemble of De-Identifiers
Viaarxiv icon

A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk

Add code
May 21, 2019
Figure 1 for A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk
Figure 2 for A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk
Figure 3 for A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk
Figure 4 for A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk
Viaarxiv icon