Article

Machine-learning approach for Type 2 Diabetes diagnosis and prognosis models over heterogeneous feature spaces

2023-07-28

Abstract excerpt

This research aims to evaluate the Type 2 Diabetes (T2D) diagnosis and prognosis power from heterogeneous environmental, lifestyle and biochemistry data. Model estimation has previously addressed three main actions as: 1) Missingvalue imputation using specific univariant and multivariant imputers accommodated to each particular feature; 2) Quasi-constancy detection in variables; 3) Constructing geographical pollut...

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Literature Corpus work: 26ea711e-c1aa-5873-9143-4c3fa480ccda
DOI: 10.1101/2023.07.26.23293097

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