scholarly journals Semantic Mediation Model to Promote Improved Data Sharing Using Representation Learning in Heterogeneous Healthcare Service Environments

2019 ◽  
Vol 9 (19) ◽  
pp. 4175
Author(s):  
Ali ◽  
Chong
Keyword(s):  
Healthcare Service ◽  
Semantic Annotation ◽  
Representation Learning ◽  
Mediation Process ◽  
Mediation Model ◽  
Healthcare Applications ◽  
Virtual Objects ◽  
Healthcare Data ◽  
Service Environments ◽  
Semantic Mediation

Interoperability has become a major challenge for the development of integrated healthcare applications. This is mainly because of the reason that data is collected, processed, and managed using heterogeneous protocols, different data formats, and diverse technologies, respectively. Moreover, interoperability among healthcare applications has been limited because of the lack of mutually agreed standards. This article proposes a semantic mediation model for the interoperability provision in heterogeneous healthcare service environments. To enhance semantic mediation, the Web of Objects (WoO) framework has been used to support abstraction and aggregation of healthcare concepts using virtual objects and composite virtual objects with ontologies. Besides, semantic annotation of healthcare data has been achieved with a simplified annotation algorithm. The alignment of diverse data models has been supported with the deep representation learning method. Semantic annotation and alignment provide a common understanding of data and cohesive integration, respectively. The semantic mediation model is backed with a target ontology catalog and standard vocabulary. Healthcare data is modeled using the standard Resource Description Framework (RDF), which provides triples structure to describe the healthcare concepts in a unified way. We demonstrate the semantic mediation process with the experimental settings and provide details on the utilization of the proposed model.

scholarly journals Leveraging graph-based hierarchical medical entity embedding for healthcare applications

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tong Wu ◽  
Yunlong Wang ◽  
Yue Wang ◽  
Emily Zhao ◽  
Yilian Yuan
Keyword(s):  
Learning Algorithm ◽  
Representation Learning ◽  
General Purpose ◽  
Medical Services ◽  
Healthcare Applications ◽  
Healthcare Data ◽  
Biased Random Walk ◽  
Medical Entity ◽  
Low Dimensional ◽  
Sequential Models

AbstractAutomatic representation learning of key entities in electronic health record (EHR) data is a critical step for healthcare data mining that turns heterogeneous medical records into structured and actionable information. Here we propose , an algorithmic framework for learning continuous low-dimensional embedding vectors of the most common entities in EHR: medical services, doctors, and patients. features a hierarchical structure that encapsulates different node embedding schemes to cater for the unique characteristic of each medical entity. To embed medical services, we employ a biased-random-walk-based node embedding that leverages the irregular time intervals of medical services in EHR to embody their relative importance. To embed doctors and patients, we adhere to the principle “it’s what you do that defines you” and derive their embeddings based on their interactions with other types of entities through graph neural network and proximity-preserving network embedding, respectively. Using real-world clinical data, we demonstrate the efficacy of over competitive baselines on diagnosis prediction, readmission prediction, as well as recommending doctors to patients based on their medical conditions. In addition, medical service embeddings pretrained using can substantially improve the performance of sequential models in predicting patients clinical outcomes. Overall, can serve as a general-purpose representation learning algorithm for EHR data and benefit various downstream tasks in terms of both performance and interpretability.

PENERAPAN PROSEDUR MEDIASI DALAM PENYELESAIAN SENGKETA WAKAF DI PENGADILAN AGAMA

2018 ◽  
Vol 1 (1) ◽  
pp. 21-36
Author(s):  
Syufaat Syufaat
Keyword(s):  
Social Dimension ◽  
Mediation Process ◽  
Mutual Trust ◽  
Mediation Model ◽  
The Public ◽  
Spiritual Dimension ◽  
The People ◽  
The Social ◽  
Legal Proof ◽  
Religious Courts

Waqf has two dimensional meaning; the spiritual dimension that is taqarrub to Allah and the social dimension as the source of Islamic financial for the welfare of the people. Waqf disputes can be caused by several reasons; waqf land is not accompanied with a pledge; waqf is done on the basis of mutual trust so it has no legal proof and ownership. Currently, the choice to use the court is less effective in resolving disputes. Hence, the public ultimately chooses non-litigation efforts as a way to resolve the disputes. Mediation process is preferred by many as it is viewed to be the fairest way where none of the two parties wins or loses (win-win solution). It is also fast and cheap. This study is intended to examine how to solve waqf dispute with mediation model according to the waqf law, and how the application of mediation in the Religious Courts system

The relationship between patient donation and satisfaction with online healthcare service quality

2019 ◽  
Vol 47 (12) ◽  
pp. 1-10
Author(s):  
Yuanrong Hu ◽  
Shengkang Lu ◽  
Zhongming Tang
Keyword(s):  
Patient Satisfaction ◽  
Healthcare Service ◽  
Outcome Quality ◽  
Healthcare Applications ◽  
Mobile Healthcare ◽  
Process And Outcome ◽  
Patient Consultation ◽  
The Impact ◽  
The Relationship

We explored how donation relates to patient satisfaction with the quality of process and outcome in an online healthcare service. Using a dataset of 496,723 patient consultation records collected from ChunyuDoctor, which is among the largest of the Chinese mobile healthcare applications, we conducted a multiple regression and found that patient satisfaction with both process and outcome jointly influenced their donation. We also found that higher quality satisfaction levels meant paying patients were more likely to donate than were free patients. Our results also showed satisfaction with the quality of the process and the outcome had an equal impact on patient donation for the free patients, but the impact of process quality was greater than that of outcome quality for the paying patients, suggesting the importance of enhancing the quality of the process in an online healthcare service. Implications of the findings are discussed.

Using Semantic Technology to Enhance ESB Capabilities

2013 ◽  
Vol 849 ◽  
pp. 298-301
Author(s):  
Gui Yang Jin ◽  
Fu Zai Lv ◽  
Zhan Qin Xiang
Keyword(s):  
Semantic Annotation ◽  
Process Models ◽  
Business Systems ◽  
Enterprise Integration ◽  
Semantic Level ◽  
Data Services ◽  
Integration Architecture ◽  
Common Domain ◽  
Intimate Knowledge ◽  
Semantic Mediation

Modern enterprises consist of complex business systems. These systems need to be integrated to support enterprises operation. The SOA and ESB become an important enterprise integration architecture style for designing and implementing integration systems. But there are some limitations of todays ESB framework, such as only syntactic description of service interface, inability to perform semantic mediation and incapable process knowledge management. Therefore developers need deep and intimate knowledge to develop integration systems. We introduce an ontology-based semantic annotation approach to enrich and reconcile semantics of data, services and process models on ESB that enables data, service and process models interoperability on the semantic level through common domain ontologies.

scholarly journals eGAP: An Evolutionary Game Theoretic Approach to Random Forest Pruning

2020 ◽  
Vol 4 (4) ◽  
pp. 37
Author(s):  
Khaled Fawagreh ◽  
Mohamed Medhat Gaber
Keyword(s):  
Random Forest ◽  
Replicator Dynamics ◽  
Evolutionary Game ◽  
Theoretic Approach ◽  
Healthcare Applications ◽  
Healthcare Data ◽  
Smart Healthcare ◽  
Game Theoretic ◽  
Game Theoretic Approach

To make healthcare available and easily accessible, the Internet of Things (IoT), which paved the way to the construction of smart cities, marked the birth of many smart applications in numerous areas, including healthcare. As a result, smart healthcare applications have been and are being developed to provide, using mobile and electronic technology, higher diagnosis quality of the diseases, better treatment of the patients, and improved quality of lives. Since smart healthcare applications that are mainly concerned with the prediction of healthcare data (like diseases for example) rely on predictive healthcare data analytics, it is imperative for such predictive healthcare data analytics to be as accurate as possible. In this paper, we will exploit supervised machine learning methods in classification and regression to improve the performance of the traditional Random Forest on healthcare datasets, both in terms of accuracy and classification/regression speed, in order to produce an effective and efficient smart healthcare application, which we have termed eGAP. eGAP uses the evolutionary game theoretic approach replicator dynamics to evolve a Random Forest ensemble. Trees of high resemblance in an initial Random Forest are clustered, and then clusters grow and shrink by adding and removing trees using replicator dynamics, according to the predictive accuracy of each subforest represented by a cluster of trees. All clusters have an initial number of trees that is equal to the number of trees in the smallest cluster. Cluster growth is performed using trees that are not initially sampled. The speed and accuracy of the proposed method have been demonstrated by an experimental study on 10 classification and 10 regression medical datasets.

Quantum Security for IoT to Secure Healthcare Applications and Their Data

2021 ◽  
pp. 148-168
Author(s):  
Binod Kumar ◽  
Sheetal B. Prasad ◽  
Parashu Ram Pal ◽  
Pankaj Pathak
Keyword(s):  
Quantum Computing ◽  
Quantum State ◽  
Treatment Plan ◽  
Security Threats ◽  
Healthcare Industry ◽  
Healthcare Applications ◽  
Healthcare Data ◽  
Health Agencies ◽  
Encryption Decryption ◽  
Iot Devices

Quantum computation has the ability to revolutionize the treatment of patients. Quantum computing can help to detect diseases by identifying and forecasting malfunctions. But there's a threat associated here (i.e., healthcare data among the most popular cybercriminal targets, IoT devices notoriously lacking in effective safeguards, and quantum computers on the brink of an encryption/decryption breakthrough). Health agencies need a security prognosis and treatment plan as soon as possible. Healthcare companies recently worry more about the quantum security threats. The biggest threat of healthcare data breaches has come in the form of identity theft. There should be a strong mechanism to combat the security gaps in existing healthcare industry. If the healthcare data are available on the network, an attacker may try to modify, intercept, or even view this data stream. With the use of quantum security, the quantum state of these photons changes alert the security pros that someone is trying to breach the link.

Influence of Social Networks in the Decision to Vote

2015 ◽  
Vol 6 (4) ◽  
pp. 15-34 ◽  
Author(s):  
Daniel Barredo Ibáñez ◽  
Carlos Arcila Calderón ◽  
Jesús Arroyave ◽  
Roxana Silva
Keyword(s):  
Social Networks ◽  
New Media ◽  
Positive Influence ◽  
Mediation Process ◽  
Mediation Model ◽  
Validity And Reliability ◽  
The Public ◽  
Moderated Mediation Model ◽  
Search For Information ◽  
The Relationship

The popularization of the Internet and the adoption of social media have brought major changes in the way of doing politics and managing the public arena. There is extensive scientific literature confirming the relationship between the use of new media and electoral political participation (Willnat et al, 2013; Lee and Shin, 2014; Ceron et al, 2014.). The aim of this study is to determine the mechanism by which using social networks influences the decision to vote. Ecuadorian citizens (n= 3,535) took part in an exploratory survey during the first half of 2013. The authors tested the measures and scales included in the questionnaire for validity and reliability; and they used a moderated mediation model (Hayes, 2013) based on regression. Results show that positive influence of using social networks on the decision to vote is not given directly, but rather through the search for information and need for political deliberation. In this mediation process, the indirect effect is in turn negatively moderated by age (the effect is stronger in young people). It is argued that despite the influence that networks may have on the behavior of voters, traditional factors related to the search for political information in more conventional means (e.g. radio or TV) seem to have a more significant effect. The authors explain both theoretical and practical implications. Finally, they address the study's limitations regarding the representativeness of the sample and suggest testing the model in other political and cultural contexts.

Prosecutors and Use of Restorative Justice in Courts: Greek Case

2015 ◽  
Vol 32 (13) ◽  
pp. 1943-1966 ◽  
Author(s):  
Gabriela Wasileski
Keyword(s):  
Restorative Justice ◽  
Partner Violence ◽  
Research Study ◽  
Intimate Partner ◽  
Mediation Process ◽  
Mediation Model ◽  
Structured Interviews ◽  
Gendered Violence ◽  
Adversarial System ◽  
Role Confusion

The purpose of this research study was to examine the experiences of prosecutors in Athens, Greece, as they implement a restorative justice (RJ; mediation) model in cases of intimate partner violence (IPV). Greece recently enacted a new legislation related to domestic violence, part of the requirement is mediation. This study used semi-structured interviews with 15 public prosecutors at the courts of first instance and three interviews with facilitators of mediation process. The findings indicate widespread role confusion. Prosecutors’ experiences, professional positions, and views of RJ in adult cases of gendered violence were shaped by their legal training. That is, their perceptions reflected their work in an adversarial system. Their views were complex yet ultimately unreceptive and their practices failed the victims of IPV. The study report concluded with recommendations for the legislators and for better preparation of court actors.

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