An Interpretable Fast Model for Predicting The Risk of Heart Failure - researchr publication related

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Xianli Zhang, Buyue Qian, Xiaoyu Li, Jishang Wei, Yingqian Zheng, Lingyun Song, Qinghua Zheng. An Interpretable Fast Model for Predicting The Risk of Heart Failure. In Tanya Y. Berger-Wolf, Nitesh V. Chawla, editors, Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019, Calgary, Alberta, Canada, May 2-4, 2019. pages 576-584, SIAM, 2019. [doi]

The following publications are possibly variants of this publication:

Improving predictive models with clustered sequences: An Application on Heart Failure Risk PredictionKun Lin, Ping Zhang, Gigi Y. Yuen-Reed, Ying Li, Jianying Hu. cri 2017: [doi]

Predicting the Risk of Heart Failure With EHR Sequential Data ModelingBo Jin 0001, Chao Che, Zhen Liu, Shulong Zhang, Xiaomeng Yin, Xiaopeng Wei. access, 6:9256-9261, 2018. [doi]

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