Bioinformatic System for Classification of Patient Response to Traditional and Modern Medicine Therapy in Niger Delta Region: A Machine Learning Approach
Imeh Umoren,
Victoria Essien,
Ifeyinwa Arize
Issue:
Volume 11, Issue 1, June 2023
Pages:
1-12
Received:
24 May 2022
Accepted:
4 July 2022
Published:
21 March 2023
Abstract: The potential for Traditional Medicine (TM) to enhance human health and wellbeing is enormous. This facet of healthcare services is crucial. For mutual benefit, the systems of traditional medicine and western (modern) medicine must be combined. The main goal of merging biomedicals and healthcare information within the setting of primary health care services is to provide spaces for technology interchange in medical practice for data and knowledge-based development. As a result, a database for diseases and their likely causes, trigger patterns, and prospective treatments and cures will be created, facilitating faster access to healthcare and resulting in a more dependable and effective healthcare system. The integration of health data, information, and expertise is known as bioinformatics. Data is all about a particular patient history, such as symptoms, diagnoses, treatments, and results, are referred to as health information. In fact, practitioners of biomedical informatics put a lot of effort into spotting patterns in the data generated by bioinformatics in order to assess patients' health problems and develop effective healthcare procedures. Hence, it is crucial that the current healthcare system incorporate health bioinformatics. Traditional medicine (TM) needs solid, scientific evidence to support its effectiveness, it is significant to access perceptions and promotes the integration of both Traditional Medicine Practitioners (TMP) and Modern Medical Practitioners (MMP) in the society. Basically, this research paper adopts a quantitative research method through survey Questionnaire for perceptions and adoption of both TMPs and MMPs among practitioners in Akwa Ibom State, Nigeria. Correlation analysis was carried out on selected demographics variables using Spearman Correlation coefficient to test the information gathered about how traditional medicine and modern medicine interaction (drugs administration) in treatment of certain diseases. The research findings demonstrate that, the Spearman coefficient algorithm gave a 0.5% which indicating an average relationship which entails a requirement for further integration. Moreover, Machine Learning (ML) approach was adopted, the Linear Regression (LR) model was used to access the linear relationship existing within the number of visits (response) of patients on the four sickness that was identified in the statistical data obtained in order to do a comparison analysis of treatment length of time (tlot) based on weekly basis -Seven (7) days visits. The model enable prediction on future duration length of time of patient in (TMPs) health system given number of visits provided.
Abstract: The potential for Traditional Medicine (TM) to enhance human health and wellbeing is enormous. This facet of healthcare services is crucial. For mutual benefit, the systems of traditional medicine and western (modern) medicine must be combined. The main goal of merging biomedicals and healthcare information within the setting of primary health care...
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The Importance of Stiff Change of U(T) Content Around Splicing Sites in Efficient Plant Intron Splicing -- A Case Study in Rice
Fangyu Zhang,
Zhengfeng Zhang,
Enci Wang,
Chengqi Wang,
Benze Xiao
Issue:
Volume 11, Issue 1, June 2023
Pages:
13-18
Received:
20 April 2023
Accepted:
12 May 2023
Published:
5 June 2023
Abstract: Pre-mRNAs splicing is one of the fundamental process which generates multiple transcripts from a single gene, contributing to transcriptome and proteome diversity. AS is regulated by the cooperation of trans-factors and cis-elements. In plants, extensive alternative splicing occurs not only in tissue-specific manner but also in response to stress conditions. Intron retention is the most predominant splicing type. However, the cis-elements regulating intron retention are still ambiguous in plants, especially under environmental stresses. This study aimed to elucidate the cis-elements underlying intron retention in plants under adverse enrironments. Using RNA-seq data of rice cultivars IRAT109 and ZS97 under drought environments, we compared the sequence characteristics between constitutive and retained introns. The results show that the main AS types include intron retention (IR), alternative acceptor sites (AA), alternative donor sites (AD) and cassette exon (exon skipping, ES). Among of them, IR was the prevelent pattern with frequencies of 30.8-31.2%. Motif analysis of 5' and 3' 200bp intron sequences found rich U(T) in the motifs for both constitutive and retained introns. By further analysis of base composition of sequences flanking splice sites, we detected a notable difference in U(T) content between introns and their neighboring exons in constitutive introns, but not in retained introns. The results in this study suggested that the lack of significant changes in U(T) content between retained introns and neighboring exons might be a potential cis feature of intron retention.
Abstract: Pre-mRNAs splicing is one of the fundamental process which generates multiple transcripts from a single gene, contributing to transcriptome and proteome diversity. AS is regulated by the cooperation of trans-factors and cis-elements. In plants, extensive alternative splicing occurs not only in tissue-specific manner but also in response to stress c...
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