# HCNN: Heterogeneous Convolutional Neural Networks for Comorbid Risk Prediction with Electronic Health Records

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hcnn-heterogeneous-convolutional-neural-networks-for-comorbid-risk-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jinghe Zhang,Jiaqi Gong,Laura E. Barnes |
| Citations | 41 |
| DOI | 10.1109/chase.2017.80 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2750342792 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Jiaqi Gong](https://scholariq.org/researchers/jiaqi-gong/)

## Paper primary topic

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Paper topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Chronic Disease Management Strategies](https://scholariq.org/topics/chronic-disease-management-strategies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.