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Computes a Cartesian product of possible diagnostic components to define all combinations of algorithms for probable Parkinson’s disease dementia (PDD). This function is a helper with no inputs and is typically called within diagnose_pdd_sample.

Usage

specify_algorithms()

Value

A tibble where each row represents one unique diagnostic algorithm for probable PDD. Columns indicate the type of algorithms, individual test indexes, thresholds, and other relevant parameters.

See also

diagnose_pdd_sample() combines the algorithms with data to diagnose single patients.