Development of a machine-learning model for predicting arterial hypertension based on complete blood count parameters
Objective: development and evaluation of a machine learning model for predicting arterial hypertension using demographic characteristics and complete blood count parameters, and to assess the contribution of key predictors using interpretable methods. Materials and methods: we analyzed a dataset of 5,506 patients...