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Computational Phenotyping

Computational Phenotyping is the process of transforming the noisy, massive Electronic Health Record (EHR) data into meaningful medical concepts that can be used to predict the risk of disease for an individual, or the response to drug therapy.

Source: Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis

Papers

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Showing 11–18 of 18 papers

TitleStatusHype
Implementing a Portable Clinical NLP System with a Common Data Model - a Lisp Perspective—0
PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization—0
Natural Language Processing for EHR-Based Computational Phenotyping—0
Using Clinical Narratives and Structured Data to Identify Distant Recurrences in Breast Cancer—0
Federated Tensor Factorization for Computational Phenotyping—0
Multitask learning and benchmarking with clinical time series dataCode1
Unsupervised Learning for Computational PhenotypingCode0
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain—0
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