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Modeling Strategies for Risk Prediction in Clinical Medicine with Restricted Data: Application to Cardiovascular Disease

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LISS 2020

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Abstract

This paper describes modeling strategies for risk prediction in clinical medicine, mainly with respect to survival analysis. Restricted data, which is commonly given in initial clinical research, is assumed for these strategies. Cox’s proportional hazard model is used with modern statistical approaches. In this paper, detailed modeling strategies for clinical risk prediction are proposed and demonstrated by using a case study on the cardiovascular disease. Experiments were conducted by employing Stepwise selection and Elastic Net with bootstrapping. Results give some insights for risk prediction and modeling with limitation of clinical data.

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Acknowledgements

In this study, the samples used for case study was provided from AUSA company. Clinical guidance by professionals in the company was of great importance. We particularly appreciate their contribution to our research.

This paper was funded by a grant from the National Natural Science Foundation of China (Grant No. 71971127) and a grant from the Shenzhen Municipal Development and Reform Commission, Shenzhen Environmental Science and New Energy Technology Engineering Laboratory (Grant Number: SDRC [2016]172).

Author information

Authors and Affiliations

  1. Tsinghua-Berkerley Shenzhen Institute, Tsinghua University, Shenzhen, China

    Junyoung Lee & Wai Kin (Victor) Chan

Authors
  1. Junyoung Lee
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  2. Wai Kin (Victor) Chan
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Corresponding author

Correspondence to Wai Kin (Victor) Chan .

Editor information

Editors and Affiliations

  1. Beijing Jiaotong University, Beijing, China

    Shifeng Liu

  2. Budapest University of Technology and Economics, Budapest, Hungary

    Gábor Bohács

  3. Beijing Jiaotong University, Beijing, China

    Xianliang Shi

  4. International Center for Informatics Research, Beijing Jiaotong University, Beijing, China

    Xiaopu Shang

  5. Beijing Logistics Informatics Research Base, Beijing Jiaotong University, Beijing, China

    Anqiang Huang

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Lee, J., Chan, W.K. (2021). Modeling Strategies for Risk Prediction in Clinical Medicine with Restricted Data: Application to Cardiovascular Disease. In: Liu, S., Bohács, G., Shi, X., Shang, X., Huang, A. (eds) LISS 2020. Springer, Singapore. https://doi.org/10.1007/978-981-33-4359-7_2

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