PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

 

e-ISSN 2231-8526
ISSN 0128-7680

Home / Regular Issue / JST Vol. 31 (6) Oct. 2023 / JST-3964-2022

 

Development of Artificial Neural Network Model for Medical Specialty Recommendation

Winda Hasuki, David Agustriawan, Arli Aditya Parikesit, Muammar Sadrawi, Moch Firmansyah, Andreas Whisnu, Jacqulin Natasya, Ryan Mathew, Florensia Irena Napitupulu and Nanda Rizqia Pradana Ratnasari

Pertanika Journal of Science & Technology, Volume 31, Issue 6, October 2023

DOI: https://doi.org/10.47836/pjst.31.6.05

Keywords: Machine learning, medical specialty, multilayer perceptron, neural network, recommendation

Published on: 12 October 2023

Timely diagnosis is crucial for a patient’s future care and treatment. However, inadequate medical service or a global pandemic can limit physical contact between patients and healthcare providers. Combining the available healthcare data and artificial intelligence methods might offer solutions that can support both patients and healthcare providers. This study developed one of the artificial intelligence methods, artificial neural network (ANN), the multilayer perceptron (MLP), for medical specialist recommendation systems. The input of the system is symptoms and comorbidities. Meanwhile, the output is the medical specialist. Leave one out cross-validation technique was used. As a result, this study’s F1 score of the model was about 0.84. In conclusion, the ANN system can be an alternative to the medical specialist recommendation system.

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