| Keywords
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Machine Learning, Feature Engineering, Medical data analysis +
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| Level
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Master +
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| OneLineSummary
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Generating patient representation using EHR data +
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| Prerequisites
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Good knowledge of applied mathematics. An ability to implement state-of-the-art algorithms in a suitable programming environment. An interest in machine learning algorithms and medical data analysis. +
|
| References
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1. Miotto R, Li L, Kidd BA, Dudley JT. Dee … 1. Miotto R, Li L, Kidd BA, Dudley JT. Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records. Scientific Reports. 2016;6:26094. doi:10.1038/srep26094.
2. Choi, Edward, et al. "Multi-layer representation learning for medical concepts." Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2016ledge Discovery and Data Mining. ACM, 2016
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| StudentProjectStatus
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Open +
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| Supervisors
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Sławomir Nowaczyk +
, Awais Ashfaq +
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| TimeFrame
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Winter 2017 / Spring 2018 +
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| Title
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Intelligible patient representation for outcome prediction of congestive heart failure patients +
|
| Categories |
StudentProject +
|
| Modification dateThis property is a special property in this wiki.
|
10 October 2018 08:32:06 +
|
