Predicting the Demand of Prescribed Medicines in Bangladesh using Artificial Intelligent (AI) based Long Short-Term Memory (LSTM) Model

Hafiz, Muhtasim; Sazzad, Md Sabbir Ibne; Hasan, Khalid Ibne; Hasnat, Jamil; Mishu, Mahbub C.

Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/83

Full metadata record

DC Field	Value	Language
dc.contributor.author	Hafiz, Muhtasim	-
dc.contributor.author	Sazzad, Md Sabbir Ibne	-
dc.contributor.author	Hasan, Khalid Ibne	-
dc.contributor.author	Hasnat, Jamil	-
dc.contributor.author	Mishu, Mahbub C.	-
dc.date.accessioned	2021-10-11T11:17:11Z	-
dc.date.available	2021-10-11T11:17:11Z	-
dc.date.issued	2020-01-10	-
dc.identifier.citation	Muhtasim Hafiz, Md Sabir Ibna Sazzad, Khalid Ibne Hasan, Jamil Hasnat, and Mahbub C. Mishu. 2020. Predicting the Demand of Prescribed Medicines in Bangladesh using Artificial Intelligent (AI) based Long Short-Term Memory (LSTM) Model. In Proceedings of the International Conference on Computing Advancements (ICCA 2020). Association for Computing Machinery, New York, NY, USA, Article 2, 1–5. DOI:https://doi.org/10.1145/3377049.3377056	en_US
dc.identifier.isbn	978-1-4503-7778-2	-
dc.identifier.uri	http://dspace.aiub.edu:8080/jspui/handle/123456789/83	-
dc.description.abstract	Health services are one of the necessities for a human being. Good quality and timely health services are essential for proper health conditions of human requirement. Distribution of health care facilities and services are imperative in any nation thus anticipating demand and taking pre-emptive decision to adjust the supply for the future is essential. A responsive and synchronised flow of the products is necessary. The aim of this paper is to present the forecasting model and predicted medicine demand in all district of Bangladesh.	en_US
dc.language.iso	en	en_US
dc.publisher	Association for Computing Machinery	en_US
dc.relation.ispartofseries	ICCA 2020: Proceedings of the International Conference on Computing Advancements;	-
dc.subject	Computing Methodology	en_US
dc.subject	Machine Learning	en_US
dc.subject	Neural Networks	en_US
dc.title	Predicting the Demand of Prescribed Medicines in Bangladesh using Artificial Intelligent (AI) based Long Short-Term Memory (LSTM) Model	en_US
dc.type	Article	en_US
Appears in Collections:	Publications: Conference

Files in This Item:

File	Description	Size	Format
Draft_DSpace_Publication_Info_Upload_MahbubConf1.pdf	conference paper	164.82 kB	Adobe PDF	View/Open

Show simple item record

AIUB DSpace

Welcome to the Institutional Repository of American International University-Bangladesh. We preserve and enable easy and open access to all types of digital content including text, images, moving images, mpegs and data sets.