International journal of advances in biology最新文献

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Enhancing Interoperability Among Health Information Systems in Low and Middle-Income Countries: A Review of Challenge and Strategies 加强低收入和中等收入国家卫生信息系统之间的互操作性:挑战和战略回顾

International journal of advances in biology Pub Date : 2023-08-27 DOI: 10.5121/ijab.2023.10301

Prabath Jayatissa, Roshan Hewapathirane

{"title":"Enhancing Interoperability Among Health Information Systems in Low and Middle-Income Countries: A Review of Challenge and Strategies","authors":"Prabath Jayatissa, Roshan Hewapathirane","doi":"10.5121/ijab.2023.10301","DOIUrl":"https://doi.org/10.5121/ijab.2023.10301","url":null,"abstract":"The review article aims to provide an overview of the challenges and strategies for enhancing interoperability among health information systems in low and middle-income countries (LMICs). Achieving interoperability in LMICs presents unique challenges due to various factors, such as limited resources, fragmented health information systems, and diverse health IT infrastructure. The methodology involves conducting a comprehensive literature review, synthesising findings, identifying challenges and strategies, analysing and interpreting results, and writing and finalising the article. The article highlights that the interoperability challenges include a lack of standardisation, fragmented systems, limited resources, and data privacy concerns. The article proposes strategies to enhance interoperability in LMICs, such as standardisation of data formats and protocols, consolidation of health information systems, investment in health IT infrastructure, and capacity building of health IT professionals in LMICs. The article aims to provide insights into the current state and potential strategies for enhancing interoperability among health information systems in LMICs, intending to improve healthcare delivery and outcomes in these","PeriodicalId":479896,"journal":{"name":"International journal of advances in biology","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135181597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Consensus Algorithm for Calculation of Protein Binding Affinity using Multiple Models 多模型计算蛋白质结合亲和力的一致性算法

International journal of advances in biology Pub Date : 2023-01-30 DOI: 10.5121/ijab.2023.10101

Ayşenaz Ezgi Ergin, Deniz Turgay Altılar

{"title":"Consensus Algorithm for Calculation of Protein Binding Affinity using Multiple Models","authors":"Ayşenaz Ezgi Ergin, Deniz Turgay Altılar","doi":"10.5121/ijab.2023.10101","DOIUrl":"https://doi.org/10.5121/ijab.2023.10101","url":null,"abstract":"The major histocompatibility complex (MHC) molecules, which bind peptides for presentation on the cell surface, play an important role in cell-mediated immunity. In light of developing databases and technologies over the years, significant progress has been made in research on peptide binding affinity calculation. Several in techniques have been developed to predict peptide binding to MHC class I. Most of the research on MHC Class I due to its nature brings better performance and more. Considering the use of different methods and different technologies, and the approach of similar methods on different proteins, a classification was created according to the binding affinity of protein peptides. For this classification, MHC Class I was studied using the MHCflurry, NetMHCPan, NetMHC, NetMHCCons and ssmpmbec. In these simulations conducted within the scope of this thesis, no overall superiority was observed between the models. It has been determined that they are superior to each other in various points. Getting the best results may vary depending on the multiple uses of models. The important thing is to recognize the data and act with the appropriate model. But even that doesn’t make a huge difference. Since the consensus approach is directly related to the models, the better the models, the better. Xix","PeriodicalId":479896,"journal":{"name":"International journal of advances in biology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135599730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0