Multimodal Clinical Prediction with Unified Prompts and Pretrained Large-Language Models-Reference-Cited by-同舟云学术

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Multimodal Clinical Prediction with Unified Prompts and Pretrained Large-Language Models

Published:2024-06-03 Issue: Volume: Page:679-683
ISSN:
Container-title:2024 IEEE 12th International Conference on Healthcare Informatics (ICHI)
language:
Short-container-title:

Author:

Winston Caleb¹,Winston Chloe²,Winston Cailin³,Winston Claris³,Winston Cleah³

Affiliation:

1. Stanford University,Department of Computer Science,Stanford,USA

2. Perelman School of Medicine, University of Pennsylvania,Philadelphia,USA

3. University of Washington,Department of Computer Science,Seattle,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10628445/10628534/10628813.pdf?arnumber=10628813

Reference24 articles.

1. Machine Learning–Based Short-Term Mortality Prediction Models for Patients With Cancer Using Electronic Health Record Data: Systematic Review and Critical Appraisal

2. Development and validation of an asthma exacerbation prediction model using electronic health record (EHR) data

3. Enhancing efficiency and capacity of telehealth services with intelligent triage: a bidirectional LSTM neural network model employing character embedding

4. Combining structured and unstructured data for predictive models: a deep learning approach

5. Coai: Cost-aware artificial intelligence for health care;Erion;Nat Biomed Eng,2022

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