Development of an intelligent system for the prediction of dangerous patient situations: A diploma – A startup
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Date
2022-06-10
Journal Title
Journal ISSN
Volume Title
Publisher
UNIVERSITY of M'SILA
Abstract
In this Master’s thesis, we presented a project within the framework of monitoring patients
staying in a hospital. Each room can contain several patients where a patient is associated
with a bed with all the medical facilities. The rooms are occupied by surveillance cameras
and the video sequences will be transmitted to our intelligent system called Aidy. The Aidy
system first tries to detect object pairs of patients and beds in order to take an image that
relates patient to bed using a classification model for object detection. These cropped
images from the original image will be sent to a second classification model to predict the
situation of patients. If the prediction indicates a dangerous case of a patient, a notification
will be transmitted to a mobile application installed on the mobile device of a doctor or a
nurse, which is connected to our intelligent system Aidy.
Description
Keywords
Artificial Intelligence, Deep Learning, Object Detection, Computer Vision, Convolutional Neural Network, Healthcare, Patient Monitoring, Mobile Application, Tk Interface, SHapley Additive Explanations.