Desmila, Desi (2024) Analisis Data Kesehatan Pasien pada Rumah Sakit Berbasis Internet of Things (IoT). Other thesis, Universitas Islam Riau.

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Abstract

This research aim is to identify the difference between normal and abnormal health conditions in patients and develop data analysis that makes it easier to monitor monitoring of health conditions using graph visualization based on Internet of Things (IoT) technology. The software developed uses the Python programming language and integrated in the Jupyter Notebook platform. It platform allows real-time reception of data stored in a structured database. structured database. The research methodology includes the use of deep learning technologies, specifically Artificial Neural Networks (ANN)to analyze health data from sensors and external sources such as Kaggle. The research results showed success in identifying significant differences between normal and abnormal health conditions. This capability is crucial for proper diagnosis and effective clinical interventions, improving the quality of healthcare. In addition, the research successfully developed innovative data analytics with the IoT, enabling real-time data collection that can be accessed and monitored, which is an important step in patient empowerment and management. an important step in patient empowerment and healthcare management.

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