Inferring multimodal latent topics from electronic health records

Electronic health records (EHR) are rich heterogeneous collections of patient health information, whose broad adoption provides clinicians and researchers unprecedented opportunities for health informatics, disease-risk prediction, actionable clinical recommendations, and precision medicine. However...

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Detalles Bibliográficos
Autores principales: Li, Yue, Nair, Pratheeksha, Lu, Xing Han, Wen, Zhi, Wang, Yuening, Dehaghi, Amir Ardalan Kalantari, Miao, Yan, Liu, Weiqi, Ordog, Tamas, Biernacka, Joanna M., Ryu, Euijung, Olson, Janet E., Frye, Mark A., Liu, Aihua, Guo, Liming, Marelli, Ariane, Ahuja, Yuri, Davila-Velderrain, Jose, Kellis, Manolis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242436/
https://www.ncbi.nlm.nih.gov/pubmed/32439869
http://dx.doi.org/10.1038/s41467-020-16378-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242436/
https://www.ncbi.nlm.nih.gov/pubmed/32439869
http://dx.doi.org/10.1038/s41467-020-16378-3

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