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DC Field | Value | Language |
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dc.contributor.author | Warnakulasuriya, D | - |
dc.contributor.author | Dewangi, T | - |
dc.contributor.author | Sewwandi, N | - |
dc.contributor.author | Rathnayake, M | - |
dc.contributor.author | Kodagoda, N | - |
dc.contributor.author | Suriyawansha, K | - |
dc.date.accessioned | 2023-03-08T08:28:38Z | - |
dc.date.available | 2023-03-08T08:28:38Z | - |
dc.date.issued | 2022-12-09 | - |
dc.identifier.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. | en_US |
dc.identifier.isbn | 979-8-3503-9809-0 | - |
dc.identifier.uri | https://rda.sliit.lk/handle/123456789/3331 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartofseries | 2022 4th International Conference on Advancements in Computing (ICAC); | - |
dc.subject | Mobile Medical Assistant | en_US |
dc.subject | Medical Assistant System | en_US |
dc.subject | Laboratory Report | en_US |
dc.subject | Medical Drug Identification | en_US |
dc.subject | Report Analysis | en_US |
dc.title | Mobile Medical Assistant System for Laboratory Report Analysis and Medical Drug Identification | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ICAC57685.2022.10025083 | en_US |
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 |
Files in This Item:
File | Description | Size | Format | |
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Mobile_Medical_Assistant_System_for_Laboratory_Report_Analysis_and_Medical_Drug_Identification.pdf Until 2050-12-31 | 517.23 kB | Adobe PDF | View/Open Request a copy |
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