Search Articles

View query in Help articles search

Search Results (1 to 7 of 7 Results)

Download search results: CSV END BibTex RIS


Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods

Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods

For Aim 1 (d), we aim to validate Auto-ML on seven benchmark modeling problems. We will perform tests with health care researchers using seven modeling problems and datasets that we worked on before. Each problem uses a different dataset from a distinct health care system. We chose these problems because they are related to common diseases, are clinically important, and have readily accessible datasets. Auto-ML can be used for other clinical activities.

Gang Luo, Bryan L Stone, Michael D Johnson, Peter Tarczy-Hornoch, Adam B Wilcox, Sean D Mooney, Xiaoming Sheng, Peter J Haug, Flory L Nkoy

JMIR Res Protoc 2017;6(8):e175