KIT-LSTM: Knowledge-guided Time-aware LSTM for Continuous Clinical Risk Prediction Article Swipe
Lucas J. Liu
,
Victor Ortiz-Soriano
,
Javier A. Neyra
,
Jin Chen
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/bibm55620.2022.9994931
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/bibm55620.2022.9994931
Rapid accumulation of temporal Electronic Health Record (EHR) data and recent advances in deep learning have shown high potential in precisely and timely predicting patients' risks using AI. However, most existing risk prediction approaches ignore the complex asynchronous and irregular problems in real-world EHR data. This paper proposes a novel approach called Knowledge-guIded Time-aware LSTM (KIT-LSTM) for continuous mortality predictions using EHR. KIT-LSTM extends LSTM with two time-aware gates and a knowledge-aware gate to better model EHR and interprets results. Experiments on real-world data for patients with acute kidney injury with dialysis (AKI-D) demonstrate that KIT-LSTM performs better than the state-of-the-art methods for predicting patients' risk trajectories and model interpretation. KIT-LSTM can better support timely decision-making for clinicians.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/bibm55620.2022.9994931
- OA Status
- green
- Cited By
- 10
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313527324
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4313527324Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/bibm55620.2022.9994931Digital Object Identifier
- Title
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KIT-LSTM: Knowledge-guided Time-aware LSTM for Continuous Clinical Risk PredictionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-12-06Full publication date if available
- Authors
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Lucas J. Liu, Victor Ortiz-Soriano, Javier A. Neyra, Jin ChenList of authors in order
- Landing page
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https://doi.org/10.1109/bibm55620.2022.9994931Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://pmc.ncbi.nlm.nih.gov/articles/PMC10151119/pdf/nihms-1893292.pdfDirect OA link when available
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Computer science, Artificial intelligence, Asynchronous communication, Machine learning, Deep learning, Electronic health record, Health records, Health care, Economics, Economic growth, Computer networkTop concepts (fields/topics) attached by OpenAlex
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 5, 2023: 1Per-year citation counts (last 5 years)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2511950764, https://openalex.org/W3091454251, https://openalex.org/W2606071384, https://openalex.org/W3005219125, https://openalex.org/W2887355428, https://openalex.org/W3000238064, https://openalex.org/W2895763047, https://openalex.org/W2998729982, https://openalex.org/W2915053252, https://openalex.org/W2594685110, https://openalex.org/W2806153517, https://openalex.org/W2064675550, https://openalex.org/W6739901393, https://openalex.org/W2742491462, https://openalex.org/W6729216784, https://openalex.org/W2964010366, https://openalex.org/W6752046673, https://openalex.org/W2888487581, https://openalex.org/W2516809705, https://openalex.org/W6726186668, https://openalex.org/W2964959375, https://openalex.org/W2913240367, https://openalex.org/W6776778177, https://openalex.org/W2557074642, https://openalex.org/W3080318198, https://openalex.org/W3163233738, https://openalex.org/W3111386522, https://openalex.org/W6678830454, https://openalex.org/W2184957013, https://openalex.org/W3003504112, https://openalex.org/W3191090955, https://openalex.org/W3106811464, https://openalex.org/W6782157154, https://openalex.org/W3092326142, https://openalex.org/W2127795553, https://openalex.org/W3022102674, https://openalex.org/W2803805253, https://openalex.org/W2963271116, https://openalex.org/W4287690402, https://openalex.org/W2951305674, https://openalex.org/W4385245566 |
| referenced_works_count | 41 |
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