Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3331
Title: Mobile Medical Assistant System for Laboratory Report Analysis and Medical Drug Identification
Authors: Warnakulasuriya, D
Dewangi, T
Sewwandi, N
Rathnayake, M
Kodagoda, N
Suriyawansha, K
Keywords: Mobile Medical Assistant
Medical Assistant System
Laboratory Report
Medical Drug Identification
Report Analysis
Issue Date: 9-Dec-2022
Publisher: IEEE
Citation: D. Warnakulasuriya, T. Dewangi, N. Sewwandi, M. Rathnayake, N. Kodagoda and K. Suriyawansha, "Mobile Medical Assistant System for Laboratory Report Analysis and Medical Drug Identification," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 102-107, doi: 10.1109/ICAC57685.2022.10025083.
Series/Report no.: 2022 4th International Conference on Advancements in Computing (ICAC);
Abstract: It is quite common for medical drugs and prescriptions to be misidentified by hospitals and after drugs are being dispensed to the patients. Misidentification of medical drugs is more common among elderly and visually impaired patients. In hospital organizations, the leading medical error is adverse drug events. Another most common issue patients face is keeping track of medical lab reports. Our proposed mobile medical assistant system uses image processing to identify drugs with or without packaging, identifying prescription and medical lab reports. Furthermore, the mobile application will identify the trends of medical lab reports and predict next month’s results of the medical lab report of the patient using machine learning.
URI: https://rda.sliit.lk/handle/123456789/3331
ISBN: 979-8-3503-9809-0
Appears in Collections:4th International Conference on Advancements in Computing (ICAC) | 2022
Department of Computer Science and Software Engineering
Research Papers - Dept of Computer Science and Software Engineering
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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