Neural Document Embeddings for Intensive Care Patient Mortality Prediction
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Abstract (arXiv)
We present an automatic mortality prediction scheme based on the unstructured textual content of clinical notes. Proposing a convolutional document embedding approach, our empirical investigation using the MIMIC-III intensive care database shows significant performance gains compared to previously employed methods such as latent topic distributions or generic doc2vec embeddings. These improvements are especially pronounced for the difficult problem of post-discharge mortality prediction.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Dec 2016.
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Citing papers per year: 2021: 1; 2022: 4; 2023: 2.
7 papers.
- 2022Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendationscited by 20
- 2022On the Importance of Clinical Notes in Multi-modal Learning for EHR Datacited by 10
- 2023Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unitcited by 7
- 2023An empirical study of using radiology reports and images to improve ICU mortality predictioncited by 7
- 2022Using Machine Learning to Fuse Verbal Autopsy Narratives and Binary Features in the Analysis of Deaths from Hyperglycaemiacited by 3
- 2021Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Casescited by 2
- 2022Mortality Prediction Models with Clinical Notes Using Sparse Attention at the Word and Sentence Levelscited by 0
- 2023An empirical study of using radiology reports and images to improve ICU mortality prediction20 Jun 2023
- 2023Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit22 May 2023
- 2022Mortality Prediction Models with Clinical Notes Using Sparse Attention at the Word and Sentence Levels12 Dec 2022
- 2022On the Importance of Clinical Notes in Multi-modal Learning for EHR Data6 Dec 2022
- 2022Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations8 May 2022
- 2022Using Machine Learning to Fuse Verbal Autopsy Narratives and Binary Features in the Analysis of Deaths from Hyperglycaemia26 Apr 2022
- 2021Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases24 Jul 2021