Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.

Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.

<p>Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.</p>

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Bibliographic Details
Main Author:	Md. Maeen Molla (20827041) (author)
Other Authors:	Md. Sifat Hossain (20827044) (author), Md. Ayub Ali (7221854) (author), Md. Raqibul Islam (20827047) (author), Mst. Papia Sultana (20827050) (author), Dulal Chandra Roy (5421059) (author)
Published:	2025
Subjects:	Medicine Biotechnology Infectious Diseases Chemical Sciences not elsewhere classified road traffic injuries promising finding suggests neonatal mortality rate holds global significance focused efforts may ensuring healthy lives elastic neural networks death rate due consistent trend emerges akaike information criterion 5 mortality rate bangladesh &# 8217 sdg 3 progress optimism regarding nmr considered responsible indicators respective 2030 targets predetermined 2030 targets bangladesh faces challenges lowest aic values time series models time series sdg 3 2030 targets forecasted values challenges posed xlink "> selected based particularly vital nmr ), machine learning enet ), consistently fall analyses underscore alternative models aic 423
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Summary:	<p>Exploring the achievements and forecasting of SDG 3 using machine learning algorithms: Bangladesh perspective.</p>

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