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Using Computational Approaches to Improve Risk-Stratified Patient Management: Rationale and Methods

Using Computational Approaches to Improve Risk-Stratified Patient Management: Rationale and Methods

If no statistics on c i and p of a management program are available in the literature, the clinician in our research team (Dr Stone) will provide rough estimates based on experience.

Gang Luo, Bryan L Stone, Farrant Sakaguchi, Xiaoming Sheng, Maureen A Murtaugh

JMIR Res Protoc 2015;4(4):e128


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

The likelihood, L, that an ED can successfully use machine learning for this scenario is equal to p1× p2. p1 is the probability that a health care researcher in the ED can build a high-quality machine learning model for this scenario using Auto-ML. p2 is the

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