Explainable Minimal-Feature Machine Learning for Malaria Screening Using Haematological Parameters: Secondary Analysis of a Public Bangladesh Clinical Dataset Salma Nur Auliyya Raihanah1*, Lilik Djuari2 Abstract Background: Routine complete blood count (CBC) parameters can support malaria screening in resource-limited areas, but the optimal minimum number of parameters required remains unclear. Methods: