# Mapping client messages to a unified data model with mixture feature embedding convolutional neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mapping-client-messages-to-a-unified-data-model-with-mixture-feature-embedding/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dingcheng Li,Peini Liu,Ming Huang,裕二 池谷,Yue Zhang,Xiaodi Li,Daniel J. Dean,Xiaoxi Liu,Jingmin Xu,Hui Lei,Yaoping Ruan |
| Citations | 8 |
| DOI | 10.1109/bibm.2017.8217680 |
| Fields | Biochemistry, Genetics and Molecular Biology,Computer Science,Decision Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2773850259 |
| Type | conference-paper |
| Year | 2017 |

## Paper authors

- [Xiaodi Li](https://scholariq.org/researchers/xiaodi-li/)

## Paper primary topic

- [Data Quality and Management](https://scholariq.org/topics/data-quality-and-management/)

## Paper topics

- [Data Quality and Management](https://scholariq.org/topics/data-quality-and-management/)
- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-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.