abc_timeslice: Apply time-sliced ABC model for validation

In LBDiscover: Literature-Based Discovery Tools for Biomedical Research

Apply time-sliced ABC model for validation

Description

This function implements a time-sliced ABC model for validation. It uses historical data to predict connections that will appear in the future.

Usage

abc_timeslice(
  entity_data,
  time_column = "publication_year",
  split_time,
  a_term,
  a_type = NULL,
  c_type = NULL,
  min_score = 0.1,
  n_results = 100
)

Arguments

entity_data	A data frame of entity data with time information.
time_column	Name of the column containing time information.
split_time	Time point to split historical and future data.
a_term	Character string, the source term (A).
a_type	Character string, the entity type for A terms.
c_type	Character string, the entity type for C terms.
min_score	Minimum score threshold for results.
n_results	Maximum number of results to return.

Value

A list with prediction results and validation metrics.

LBDiscover documentation built on June 16, 2025, 5:09 p.m.