# Benchmarking deep learning models on large healthcare datasets

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/benchmarking-deep-learning-models-on-large-healthcare-datasets/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sanjay Purushotham,Chuizheng Meng,Zhengping Che,Yan Liu |
| Citations | 407 |
| DOI | 10.1016/j.jbi.2018.04.007 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1532046418300716/pdf |
| OpenAlex ID | https://openalex.org/W2806031239 |
| PMID | 29879470 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Zhengping Che](https://scholariq.org/researchers/zhengping-che/)

## Paper journal

- [Journal of Biomedical Informatics](https://scholariq.org/journals/journal-of-biomedical-informatics/)

## 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/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Phonocardiography and Auscultation Techniques](https://scholariq.org/topics/phonocardiography-and-auscultation-techniques/)

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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.