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

Title:	Predicting the Demand of Prescribed Medicines in Bangladesh using Artificial Intelligent (AI) based Long Short-Term Memory (LSTM) Model
Authors:	Hafiz, Muhtasim Sazzad, Md Sabbir Ibne Hasan, Khalid Ibne Hasnat, Jamil Mishu, Mahbub C.
Keywords:	Computing Methodology Machine Learning Neural Networks
Issue Date:	10-Jan-2020
Publisher:	Association for Computing Machinery
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
Series/Report no.:	ICCA 2020: Proceedings of the International Conference on Computing Advancements;
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.
URI:	http://dspace.aiub.edu:8080/jspui/handle/123456789/83
ISBN:	978-1-4503-7778-2
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 full 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.