Explainability of artificial neural network in predicting career fulfilment among medical doctors in developing nations: Applicability and implications

Dara Thomas, Ying Li, Chiagoziem C. Ukwuoma and Joel Dossa

Social Science & Medicine, 2024, vol. 360, issue C

Abstract: Career fulfilment among medical doctors is crucial for job satisfaction, retention, and healthcare quality, especially in developing nations with challenging healthcare systems. Traditional career guidance methods struggle to address the complexities of career fulfilment. While recent advancements in machine learning, particularly Artificial Neural Network (ANN) models, offer promising solutions for personalized career predictions, their applicability, interpretability, and impact remain challenging.

Keywords: Machine learning; Artificial neural networks; Explainable AI; Medical doctors; Career fulfilment and satisfaction; Prediction (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.socscimed.2024.117329

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