Table 5 Inner-join dataset
From: Privacy-preserving dataset combination and Lasso regression for healthcare predictions
Identifier | Feature \(\alpha ^{\left( 1 \right) }\) | ... | Feature \(\alpha ^{\left( \ell \right) }\) | Feature \(\beta ^{\left( 1 \right) }\) | ... | Feature \(\beta ^{\left( m \right) }\) |
|---|---|---|---|---|---|---|
\(a_{i_1}=b_{j_1}\) | \(\alpha _{i_1}^{\left( 1 \right) }\) | ... | \(\alpha _{i_1}^{\left( \ell \right) }\) | \(\beta _{j_1}^{\left( 1 \right) }\) | ... | \(\beta _{j_1}^{\left( m \right) }\) |
\(a_{i_2}=b_{j_2}\) | \(\alpha _{i_2}^{\left( 1 \right) }\) | ... | \(\alpha _{i_2}^{\left( \ell \right) }\) | \(\beta _{j_2}^{\left( 1 \right) }\) | ... | \(\beta _{j_2}^{\left( m \right) }\) |
\(\vdots\) | \(\vdots\) | \(\vdots\) | \(\vdots\) | \(\vdots\) | \(\vdots\) | \(\vdots\) |