# Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/patient2vec-a-personalized-interpretable-deep-representation-of-the-longitudinal/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jinghe Zhang,Kamran Kowsari,James H. Harrison,Jennifer M. Lobo,Laura E. Barnes |
| Citations | 177 |
| DOI | 10.1109/access.2018.2875677 |
| Fields | Computer Science,Health Professions |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1109/access.2018.2875677 |
| OpenAlex ID | https://openalex.org/W2897007327 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Laura E. Barnes](https://scholariq.org/researchers/laura-e-barnes/)

## Paper journal

- [IEEE Access](https://scholariq.org/journals/ieee-access/)

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Topic Modeling](https://scholariq.org/topics/topic-modeling/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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