Efficacy of a vaginal suppository formulation prepared with Acacia arabica (Lam.) Willd. gum and Cinnamomum camphora (L.) J. Presl. in heavy menstrual bleeding analyzed using a machine learning technique

Efficacy of a vaginal suppository formulation prepared with Acacia arabica (Lam.) Willd. gum and Cinnamomum camphora (L.) J. Presl. in heavy menstrual bleeding analyzed using a machine learning technique

Objective: This study aims to determine the efficacy of the Acacia arabica (Lam.) Willd. and Cinnamomum camphora (L.) J. Presl. vaginal suppository in addressing heavy menstrual bleeding (HMB) and their impact on participants' health-related quality of life (HRQoL) analyzed using machine learni...

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Bibliographic Details
Main Authors: Mohamed Joonus Aynul Fazmiya, Arshiya Sultana, Md Belal Bin Heyat, Saba Parveen, Khaleequr Rahman, Faijan Akhtar, Azmat Ali Khan, Amer M. Alanazi, Zaheer Ahmed, Isabel de la Torre Díez, Julién Brito Ballester, Tirumala Santhosh Kumar Saripalli
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Pharmacology
Subjects:
female disorder
heavy menstrual bleeding
Unani system of medicine
drug design
artificial intelligence with botanical drug
medical intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2024.1331622/full

Internet

https://www.frontiersin.org/articles/10.3389/fphar.2024.1331622/full

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