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This is a Quantitative Study study.

October 2, 2025International Journal Of Eurasia Social SciencesOpen Access

Digital transformation in health: An artificial neural network-based prediction model

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The model demonstrated an accuracy rate of 90.16%, indicating effective early diagnosis of heart disease.
Clinical and demographic data from 303 individuals were analyzed to develop the artificial neural network model.
The application of early stopping during training helped prevent overfitting, enhancing model reliability.
Findings support the integration of AI and deep learning in clinical decision support systems within healthcare.

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Implication

This study presents an AI-based model that achieves 90.16% accuracy in diagnosing heart disease, suggesting digital transformation's role in healthcare.

Cite This Study

Muhammed Akif Yenikaya (2025) studied this question.

synapsesocial.com/papers/68de79715b556a9128e1b021 https://doi.org/10.70736/ijoess.635

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Implication

This study presents an AI-based model that achieves 90.16% accuracy in diagnosing heart disease, suggesting digital transformation's role in healthcare.

Digital transformation in health: An artificial neural network-based prediction model

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Implication

Cite This Study

Digital transformation in health: An artificial neural network-based prediction model

Key Points

Discussion

Implication

Cite This Study

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