Hybrid AI Framework for the Early Detection of Heart Failure: Integrating Traditional Machine Learning and Generative Language Models With Clinical Data.

Chest Pain Type stood out as the most influential categorical feature, contributing 14.8% to the model, supported by a highly significant chi-square statistic of 15.78 (p < 0.001), reflecting its well-established clinical role in diagnosing cardiovascular conditions.

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