📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

On the goodness of fit of parametric and non-parametric data mining techniques: the case of malaria incidence thresholds in Uganda (2021)

First Author: Bbosa F

Attributed to: Assessing the Potential for Transforming Health in Uganda through an Electronic Health Data Sharing Platform and Data Science funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/s12553-021-00551-9

Publication URI: https://api.elsevier.com/content/abstract/scopus_id/85104976943

Type: Journal Article/Review

Parent Publication: Health and Technology

Issue: 4