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Analytic Approach in Accessing Trends and Impacts of Medicaid-Medicare Dual Enrollment in the United States 获取美国医疗补助-医疗保险双重登记趋势和影响的分析方法
International Journal on Soft Computing Pub Date : 2023-11-29 DOI: 10.5121/ijsc.2023.14402
Clement Odooh, Regina Robert
{"title":"Analytic Approach in Accessing Trends and Impacts of Medicaid-Medicare Dual Enrollment in the United States","authors":"Clement Odooh, Regina Robert","doi":"10.5121/ijsc.2023.14402","DOIUrl":"https://doi.org/10.5121/ijsc.2023.14402","url":null,"abstract":"The landscape of Medicaid and Medicare enrollment in the United States is undergoing dynamic changes, driven by intricate policies, shifting demographic trends, and evolving healthcare access criteria. This publication serves as a beacon, illuminating the multifaceted terrain of Medicaid and Medicare dual enrollment and offering a comprehensive understanding of its complexities and challenges. The primary objective is to advocate for the adoption of a centralized data-driven decision support system, recognizing its transformative potential. By harnessing the power of data, we can revolutionize enrollment management, streamline administrative processes, and facilitate the timely adjustment of policies, ensuring more efficient and effective healthcare access. Empowerment is at the heart of our mission. We aim to equip all healthcare stakeholders, from government agencies and insurance providers to healthcare institutions and enrollees, with knowledge and insights. Informed decisions driven by data will lead to improved healthcare access, ultimately catalyzing positive change within the Medicaid and Medicare landscape. This publication represents a call to action, urging all players in the healthcare ecosystem to embrace data-driven solutions, adapt to the evolving landscape, and work collaboratively to advance the cause of accessible and effective healthcare for all.","PeriodicalId":191737,"journal":{"name":"International Journal on Soft Computing","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139211410","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
A Review of Data Intelligence Applications Within Healthcare Sector in the United States 美国医疗保健行业数据智能应用综述
International Journal on Soft Computing Pub Date : 2023-11-29 DOI: 10.5121/ijsc.2023.14401
Clement Odooh, Regina Robert, Efijemue Oghenekome Paul
{"title":"A Review of Data Intelligence Applications Within Healthcare Sector in the United States","authors":"Clement Odooh, Regina Robert, Efijemue Oghenekome Paul","doi":"10.5121/ijsc.2023.14401","DOIUrl":"https://doi.org/10.5121/ijsc.2023.14401","url":null,"abstract":"Data intelligence technologies have transformed the United States healthcare sector, bringing about transformational advances in patient care, research, and healthcare management. United States is the focus due fact that many academic and research institutions in the country are at the forefront of healthcare data research, making it an attractive location for in-depth studies.This paper explores the diverse realm of Data Intelligence in Healthcare, examining its applications, challenges, ethical considerations, and emerging trends. Data Intelligence Applications encompass a spectrum of technologies designed to collect, process, analyze, and interpret data effectively. These apps enable healthcare practitioners to make more educated decisions, forecast health outcomes, manage population health, customize treatment, optimize workflows, assist research, improve data security, and drive healthcare analytics. However, the use of data intelligence applications raises issues and concerns about data privacy, fairness, transparency, data quality, accountability, fair data access, regulatory compliance, and the balance between automation and human judgment. Emerging themes include AI and machine learning domination, stronger ethical and regulatory frameworks, edge and quantum computing, data democratization, sustainability applications, and developing human-machine collaboration. Data intelligence has an impact that goes beyond healthcare delivery, influencing decision-making, scientific discovery, education, and economic growth. Understanding its potential and ethical responsibilities is paramount as data-driven insights redefine healthcare excellence and extend their influence across sectors.","PeriodicalId":191737,"journal":{"name":"International Journal on Soft Computing","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139209458","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
Texts Classification with the usage of Neural Network based on the Word2vec’s Words Representation 基于Word2vec词表示的神经网络文本分类
International Journal on Soft Computing Pub Date : 2023-05-27 DOI: 10.5121/ijsc.2023.14201
D. V. Iatsenko
{"title":"Texts Classification with the usage of Neural Network based on the Word2vec’s Words Representation","authors":"D. V. Iatsenko","doi":"10.5121/ijsc.2023.14201","DOIUrl":"https://doi.org/10.5121/ijsc.2023.14201","url":null,"abstract":"Assigning the submitted text to one of the predetermined categories is required when dealing with application-oriented texts. There are many different approaches to solving this problem, including using neural network algorithms. This article explores using neural networks to sort news articles based on their category. Two word vectorization algorithms are being used — The Bag of Words (BOW) and the word2vec distributive semantic model. For this work the BOW model was applied to the FNN, whereas the word2vec model was applied to CNN. We have measured the accuracy of the classification when applying these methods for ad texts datasets. The experimental results have shown that both of the models show us quite the comparable accuracy. However, the word2vec encoding used for CNN showed more relevant results, regarding to the texts semantics. Moreover, the trained CNN, based on the word2vec architecture, has produced a compact feature map on its last convolutional layer, which can then be used in the future text representation. I.e. Using CNN as a text encoder and for learning transfer.","PeriodicalId":191737,"journal":{"name":"International Journal on Soft Computing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116208515","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
EXPLORING SENTIMENT ANALYSIS RESEARCH: A SOCIAL MEDIA DATA PERSPECTIVE 情感分析研究:社交媒体数据视角
International Journal on Soft Computing Pub Date : 2023-02-27 DOI: 10.5121/ijsc.2023.14101
Zahra Dahish, S. Miah
{"title":"EXPLORING SENTIMENT ANALYSIS RESEARCH: A SOCIAL MEDIA DATA PERSPECTIVE","authors":"Zahra Dahish, S. Miah","doi":"10.5121/ijsc.2023.14101","DOIUrl":"https://doi.org/10.5121/ijsc.2023.14101","url":null,"abstract":"Sentiment analysis has been rapidly employed for business decision support. New data mining researchers are yet to have an adequate understanding of the various applications of sentiment analysis while utilising social media data. As a result, it is critical to define the data mining and text analytics research trend holistically using existing literature. The study explores sentiment analysis research for its application in transforming social media data and identifies relevant research aspects through a comprehensive bibliometric review of 523 research articles published in the Scopus database (between 2018 and 2022) to discern the content and thematic analysis. Findings suggested that key purposes of the sentiment analysis are mainly related to innovation, transparency, and efficiency. Our review also highlights the distinctiveness of sentiment analysis for synthesising social media information to investigate various features, including the knowledge-domain map that detects author collaboration networks in the past.","PeriodicalId":191737,"journal":{"name":"International Journal on Soft Computing","volume":"2018 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133347193","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
An approach to Fuzzy clustering of the iris petals by using Ac-means Analysis 鸢尾花花瓣的ac均值模糊聚类方法
International Journal on Soft Computing Pub Date : 2021-11-30 DOI: 10.5121/ijsc.2021.12401
Nicolás Enrique Salgado Guitiérrez, Sergio Andrés Valencia Ramírez, J. Méndez
{"title":"An approach to Fuzzy clustering of the iris petals by using Ac-means Analysis","authors":"Nicolás Enrique Salgado Guitiérrez, Sergio Andrés Valencia Ramírez, J. Méndez","doi":"10.5121/ijsc.2021.12401","DOIUrl":"https://doi.org/10.5121/ijsc.2021.12401","url":null,"abstract":"This paper proposes a definition of a fuzzy partition element based on the homomorphism between type-1 fuzzy sets and the three-valued Kleene algebra. A new clustering method based on the C-means algorithm, using the defined partition, is presented in this paper, which will be validated with the traditional iris clustering problem by measuring its petals.","PeriodicalId":191737,"journal":{"name":"International Journal on Soft Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125934254","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
Inversion of Magnetic Anomalies Due to 2-D Cylindrical Structures – By an Artificial Neural Network 二维圆柱结构磁异常反演——基于人工神经网络
International Journal on Soft Computing Pub Date : 2019-02-28 DOI: 10.5121/IJSC.2019.10101
Bhagwan Das Mamidala, S. Narasimman
{"title":"Inversion of Magnetic Anomalies Due to 2-D Cylindrical Structures – By an Artificial Neural Network","authors":"Bhagwan Das Mamidala, S. Narasimman","doi":"10.5121/IJSC.2019.10101","DOIUrl":"https://doi.org/10.5121/IJSC.2019.10101","url":null,"abstract":"","PeriodicalId":191737,"journal":{"name":"International Journal on Soft Computing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128091934","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: 5
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