Machine Learning Applied to Health Information Exchange
نویسندگان
چکیده
The interest in artificial intelligence (AI) has grown the last few years. healthcare community is no exception. present work focused on exchange of medical information, using Health Level Seven (HL7) international standards. main objective to develop an AI model capable inferring if for a given hour exists peak number exchanged messages. To accomplish that, two different deep learning models were created, neural networks (ANN) and long short-term memory (LSTM). intention observe which perceive situation better considering environment features facility. Using laboratory-generated data, it was possible simulate variations differences “traffic.” Comparing LSTM vs. ANN model, first outputting peaks but considered mean values that do not happen. For context, predicting essential, so right choice uses fewer are good regarding performance.
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ژورنال
عنوان ژورنال: International journal of reliable and quality e-healthcare
سال: 2022
ISSN: ['2160-956X', '2160-9551']
DOI: https://doi.org/10.4018/ijrqeh.298634