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Using Machine Learning for Personalized Patient Adherence Level Determination

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The paper deals with using a machine-learning algorithm for patient adherence level determination. For this purpose, we developed a neural network using the Python language, Keras library, and PyCharm platform.… Click to show full abstract

The paper deals with using a machine-learning algorithm for patient adherence level determination. For this purpose, we developed a neural network using the Python language, Keras library, and PyCharm platform. We analyzed different medical data collected from medical staff, patient interviews, and measurements preprocessed using a fuzzy Mamdani algorithm. After analysing 369 records we received 79.4% of accuracy.

Keywords: machine learning; level determination; using machine; adherence level; patient adherence

Journal Title: Studies in health technology and informatics
Year Published: 2019

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