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DPClass specifications

Information


Unique identifier OMICS_15516
Name DPClass
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS
Programming languages MATLAB
Computer skills Advanced
Stability Stable
Requirements
g++, numpy, scipy, scikit-learn, pandas, wsgiref
Maintained Yes

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Documentation


Maintainer


  • person_outline Jiawei Han

Publication for DPClass

DPClass citation

library_books

An Interpretable Classification Framework for Information Extraction from Online Healthcare Forums

2017
PMCID: 5559930
PMID: 29065580
DOI: 10.1155/2017/2460174

[…] ormance, we implement feature selection based on entropy using a decision tree model. In terms of the second contribution, we compare the model interpretability between Lasso [] to random forests and DPClass and interpret the models using the features with nonzero weights in Lasso with L1 term coefficient set to 0.001. […]


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DPClass institution(s)
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA
DPClass funding source(s)
Research was sponsored in part by the U.S. Army Research Lab. under Cooperative Agreement No. W911NF- 09-2-0053 (NSCTA), National Science Foundation IIS- 1017362, IIS-1320617, and IIS-1354329, HDTRA1-10-1- 0120, and grant 1U54GM114838 awarded by NIGMS through funds provided by the trans-NIH Big Data to Knowledge (BD2K) initiative, and MIAS, a DHS-IDS Center for Multimodal Information Access and Synthesis at UIUC.

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