https://csvtujournal.in/index.php/ijbbb <p style="text-align: justify;">The International journal of Biotechnology, Bioinformatics and Biomedical encompasses multidisciplinary fields of Biotechnology, Bioinformatics and Biomedical. It endeavours pure and applied knowledges through advanced methodologies, technologies and or any new area which has potential in these areas and application of scientific inventions for benefit of the society. We invite scholars, academicians and all scientists’ society to share their valuable research in the form of review, research article, short communications through this platform for the better development and betterment of one and only earth. The aim of <strong>International Journal of Biotechnology, Bioinformatics, and Biomedical (IJBBB)</strong> is to propagate the knowledge and establish the communication amongst the researchers, academicians, industry personnel and policy makers.&nbsp;</p> CHHATTISGARH SWAMI VIVEKANAND TECHNICAL UNIVERSITY Newai, P.O.-Newai, District-Durg, Chhattisgarh, PIN-491107 Telephone: +91-788-2200062, Fax- +91-788-2445020 en-US CSVTU International Journal of Biotechnology, Bioinformatics and Biomedical 2455-5762 <p style="text-align: justify;">The Copyright Notice will appear in About the Journal. It should describe for readers and authors whether the copyright holder is the author, journal, or a third party. It should include additional licensing agreements (e.g. CREATIVE COMMONS licenses) that grant rights to readers (see EXAMPLES), and it should provide the means for securing permissions, if necessary, for the use of the journal's content</p> https://csvtujournal.in/index.php/ijbbb/article/view/202 <p>Machine learning has been one of the most widely used tools in medical science. It has shown promising application in disease detection as well as in disease prediction. In this paper we focus on the artificial intelligence-based heart disease prediction system using machine learning algorithms. We discuss various algorithms that have been employed by researchers in healthcare sector and chalk out the comparative analysis among these various algorithms. Traditional clinical diagnosis methods have their own limitations, with the help of our study we would be focusing on accuracy and ability to detect the heart disease at early stage. We have discussed some most recent works in heart disease prediction and done a comparative analysis on the accuracy and fusibility of these methods.</p> Vikash Kumar Sahu Thaneshwar Sahu Raman Gulab Brajesh Copyright (c) 2023 CSVTU International Journal of Biotechnology, Bioinformatics and Biomedical http://creativecommons.org/licenses/by-nc-sa/4.0 2023-01-18 2023-01-18 7 03 34 40 https://csvtujournal.in/index.php/ijbbb/article/view/113 <p><em>Ficus carica</em>, also known as ‘Anjeer’ is a lactiferous, perennial, deciduous small tree that belongs to the <em>Moraceae</em> family spread across the tropical and subtropical region. It contains various phytochemicals such as flavonoids, triterpenoids, coumarins, volatile oil, and psoralen which can fight many diseases. <em>Ficus carica</em> is used in the treatment of asthma, scabies, toothache, diarrhea, chest pain, nose bleeding, gout, leprosy, spasmodic, cancer, piles, cough, leukoderma, diabetes, etc. This review was prepared by a detailed literature survey on its pharmacognostic profile and transformation of traditional medicinal activities into modernity. For this review, we have collected the literature that has been published since 2022 in the following databases: Pubmed, Scopus, Science direct, SciFinder, Google Scholar, and regional traditional herbal literature.</p> Khomendra kumar Sarwa Vinita Verma Pramila Manisha Chandrakar Vijendra Kumar Suryawanshi Copyright (c) 2023 CSVTU International Journal of Biotechnology, Bioinformatics and Biomedical http://creativecommons.org/licenses/by-nc-sa/4.0 2023-01-18 2023-01-18 7 03 24 33