GRU Model Code for Interactive Approach to Multi-Horizon Forecasting in Primary Health Care

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Authors: Victor Dias, José, Lucas Emanoel, Barros
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Abstract

Codes for training and evaluating GRU models for predicting Primary Health Care (PHC) Services, considering a Human-in-the-Loop approach to multi-horizon weight prediction. The data used relates to services provided by primary health care units, made available individually by the unit managers. On the other hand, data on services grouped by the municipality are publicly available on SISAB, divided into four service groups. V1: training code, evaluation code, and attendance data splitted. V2: training code (with baseline approach), evaluation code, windowing code to split data, and original attendance data by month.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
20 February 2026
Document type
Dataset