# Deep and joint learning of longitudinal data for Alzheimer's disease prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-and-joint-learning-of-longitudinal-data-for-alzheimer-s-disease-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Baiying Lei,Mengya Yang,Peng Yang,Feng Zhou,Hou Wen,Wen‐Bin Zou,Xia Li,Tianfu Wang,Xiaohua Xiao,Shuqiang Wang |
| Citations | 108 |
| DOI | 10.1016/j.patcog.2020.107247 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3003213187 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Xiaohua Xiao](https://scholariq.org/researchers/xiaohua-xiao/)

## 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/)
- [Dementia and Cognitive Impairment Research](https://scholariq.org/topics/dementia-and-cognitive-impairment-research/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

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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.