12874_2019_796_MOESM2_ESM.zip (92.29 kB)

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

dataset

posted on 2019-07-18, 04:23 authored by Paul Schaik, Yonghong Peng, Adedokun Ojelabi, Jonathan Ling

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Figure S2. Histogram and P-P plot of standardised residuals. (ZIP 91 kb)

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Public Health England

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Public health data Mental health Suicide Statistical learning Machine learning Explainability Interpretability Feature reduction Health informatics

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CC BY + CC0

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