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Prediction and decision making in Health Care using Data Mining

Boris Milovic
2012 International Journal of Public Health Science (IJPHS)  
Tendency for data mining application in healthcare today is great, because healthcare sector is rich with information, and data mining is becoming a necessity.  ...  Healthcare data mining provides countless possibilities for hidden pattern investigation from these data sets.  ...  There is a great potential for data mining application in healthcare. Healthcare institutions are very oriented on use of patient's information.  ... 
doi:10.11591/ijphs.v1i2.1380 fatcat:pxz5cxcbzzaf7jdmoxdukxldju

Big Data Analytics in Healthcare Systems

Lidong Wang, Cheryl Ann Alexander
2019 International journal of mathematical, engineering and management sciences  
This paper introduces healthcare data, big data in healthcare systems, and applications and advantages of Big Data analytics in healthcare.  ...  We also present the technological progress of big data in healthcare, such as cloud computing and stream processing. Challenges of Big Data analytics in healthcare systems are also discussed.  ...  Acknowledgement The authors acknowledge and express the gratitude for the support of Technology and Healthcare Solutions, Inc. in Mississippi, USA.  ... 
doi:10.33889/ijmems.2019.4.1-002 fatcat:vcud2kas6rdy7nmx6mrzw2kfyu

A Framework for Data and Mined Knowledge Interoperability in Clinical Decision Support Systems

Reza S. Kazemzadeh, Kamran Sartipi, Priya Jayaratna
2010 International Journal of Healthcare Information Systems and Informatics  
The computer-based decision making systems assist healthcare personnel to improve the quality of clinical practice.  ...  For this purpose, a knowledge management framework is proposed that addresses the issues of data and knowledge interoperability by adopting healthcare and data mining modeling standards, HL7 and PMML respectively  ...  Data mining applications in healthcare Healthcare data mining analysis produces valuable knowledge that can be used for decision making.  ... 
doi:10.4018/jhisi.2010110303 fatcat:ivrxkn3vhrg75hw3uugm5okqvm

Data Mining& Health Care: Techniques of Application
English

Manaswini Pradhan
2014 International Journal of Innovative Research in Computer and Communication Engineering  
The application of data mining is specifically relevant and it has been successfully applied in medical needs for its reliable precision accuracy and expeditious beneficial results.  ...  The various available application techniques have been discussed and analyzed for the purpose of the paper.  ...  Important role of data mining in Healthcare Application Despite the differences and clashes in approaches, the health sector has more need for data mining today.  ... 
doi:10.15680/ijircce.2014.0212029 fatcat:tt6dofhebbaxrktgauwhqf5oka

Generalized Net Model of the Knowledge Discovery in Medical Databases

Orozova D., Sotirova E., Chountas P.
2009 Bioautomation  
The suggested approach is applied to systems for storage and processing of medical data.  ...  Systems for decision making support are utilized for data analysis, models development and evaluation of the alternatives. The so produced analyses provide clear argumentation for the decisions made.  ...  A ϕ-token enters the model via place l 6 , with the characteristic: "Conditions for data transformation". Z 3 = <{l 4 , l 6 , l 8 }, {l 7 , l 8 }, 8,7 = "Data are transformed".  ... 
doaj:84dda65f99994174a93de6e2ded278ed fatcat:nmlpzy5zuzfzrmaupyswrlmag4

Argumentation-based Health Information Systems: A Design Methodology

Helena Lindgren, Timotheus Kampik, Esteban Guerrero Rosero, Madeleine Blusi, Juan Carlos Nieves
2020 IEEE Intelligent Systems  
intelligence for healthcare.  ...  In addition, we outline challenges in regard to the design of argumentation-based intelligent systems for healthcare, considering the state of the art of argumentation research, health information systems  ...  To our knowledge, little research exists on the application of argumentation-based methods for this healthcare information system type; one exception is an argumentation-based scheduling tool for nurses  ... 
doi:10.1109/mis.2020.3044944 fatcat:zbxurbw2kbbhfeuilpej6rwdbq

Towards Artificial Argumentation

Katie Atkinson, Pietro Baroni, Massimiliano Giacomin, Anthony Hunter, Henry Prakken, Chris Reed, Guillermo Simari, Matthias Thimm, Serena Villata
2017 The AI Magazine  
mining, for debating technologies, and for argumentation solvers are emerging.  ...  The reason for this is based on the recognition that if we are to develop robust intelligent systems, then it is imperative that they can handle incomplete and inconsistent information in a way that somehow  ...  the project MIREL: MIning and REasoning with Legal texts, and by funds provided by the Institute for Computer Science and Engineering, Universidad Nacional del Sur, Argentina.  ... 
doi:10.1609/aimag.v38i3.2704 fatcat:eknjm7ppdvecthvzrqwzfx56pu

Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study

Farhad SoleimanianGharehchopogh, Peyman Mohammadi, Parvin Hakimi
2012 International Journal of Computer Applications  
By means of data mining techniques, we can exploit furtive and precious information through medicine data bases. Because of huge amount of this information, study and analyses are too difficult.  ...  The results show that decision tree algorithm designed for this case study generates correct prediction for more than 86.25% tests cases  ...  Section 2, describes data mining techniques and DTs algorithms and Section 3 explains data mining application in healthcare domain.  ... 
doi:10.5120/8206-1613 fatcat:4n5fmqufine2retbtq7a2mepay

Policy Capacity in the Learning Healthcare System Comment on "Health Reform Requires Policy Capacity"

William Gardner
2015 International Journal of Health Policy and Management  
Pierre-Gerlier Forest and his colleagues make a strong argument for the need to expand policy capacity among healthcare actors.  ...  In this commentary, I develop an additional argument in support of Forest et al view.  ...  F orest et al 1 make a strong argument for expanding policy capacity among healthcare actors.  ... 
doi:10.15171/ijhpm.2015.147 pmid:26673470 pmcid:PMC4663089 fatcat:ckuhvq7ijnbqhflogkx3653hzm

Green Computing using Multi label classification for Mobile Medical Recommendation

Sivakumar T, Basheer P, Mubeena V
2017 IJARCCE  
For this analyses this paper propose a multi label classification methods for medical recommendation system through mobile application.  ...  Henceforth development of green and energy-efficient in cellular application has become an important topic in communication technology.  ...  In healthcare, data mining is attractive gradually more well-liked, if not increasingly more indispensable. Several factors have provoked the use of data mining applications in healthcare.  ... 
doi:10.17148/ijarcce.2017.63222 fatcat:veojb6srgjhtfhs275gqoavzm4

An overview of Big Data in Healthcare: multiple angle analyses

Xunjie Gou, Zeshui Xu
2022 Journal of Smart Environments and Green Computing  
Aiming at some special cases, we list some other analyses and methods for them. Most importantly, we discuss the potential challenges and future research directions related to big data healthcare.  ...  Furthermore, we discuss some methods for handling different kinds of medical big data.  ...  For example, data mining and machine learning can be utilized to find patterns and knowledge based on large amounts of data.  ... 
doi:10.20517/jsegc.2021.07 fatcat:kolcmsdmavafvpdxnva7yixppq

REVIEW ON PREDICTING DISEASE SEVERITY – LEARNING ALGORITHMS AS CLASSIFIERS FOR DATA WAREHOUSE ENVIRONMENTS

Miss SakshiHooda, Dr. Suman Mann
2021 Information Technology in Industry  
When research fields such as biological and medical arenas are considered, computer science-based applications have been utilized on an increasing basis.  ...  It is also notable that data mining has received increasing adoption in the healthcare field because of the perceived ability to provide room for informed decision-making, reliable treatment decisions,  ...  When research fields such as biological and medical arenas are considered, computer science-based applications have been utilized on an increasing basis.  ... 
doi:10.17762/itii.v9i1.239 fatcat:yrm3zjgzx5hqpkh5uf6nwv4n4u

Big Data Analytics in Biometrics and Healthcare

Lidong Wang, Cheryl Ann Alexander
2018 Journal of Computer Sciences and Applications  
Big Data analytics has been used in biometric systems and healthcare. Biometrics is a powerful tool used in healthcare for identification, insurance, and management, etc.  ...  There are many computational resources on the cloud, which makes the cloud a strong platform for biometric systems, healthcare systems, and Big Data analytics.  ...  The main source of data is cleaned, transformed, catalogued, and finally made available for data mining and online analytical processing [8] . Deep learning has the potential in big data.  ... 
doi:10.12691/jcsa-6-1-7 fatcat:m5cfi5bcdvgevhl3uk3ydztm5q

Artificial intelligence and healthcare—why they need each other?

Sandeep Reddy
2020 Journal of Hospital Management and Health Policy  
For example, radiological AI applications can semi-automate the process of screening medical images for a particular lesion and present the filtered images to the specialist for final opinion or data mine  ...  Many healthcare systems and their delivery models revolve around episode-based care as opposed to preventative models (1, 2) .  ... 
doi:10.21037/jhmhp-2020-ai-03 fatcat:zjrttbcxnbegfbm4ixo362zvsm

ACKTUS

Helena Lindgren, Chunli Yan
2015 Proceedings of the 5th International Conference on Digital Health 2015 - DH '15  
This paper presents ACKTUS, a semantic web platform for modeling and managing knowledge integrated in support systems for health care, and for designing the interaction with the end user applications.  ...  Moreover, the platform functions as a research infrastructure for health researchers in their development and evaluation of new ICT-based interventions targeting improved health.  ...  The project has been partly funded by VINNOVA (The Swedish Governmental Agency for Innovation Systems), the Swedish Brain Power, the Emil and Wera Cornell foundation and AFA Insurance.  ... 
doi:10.1145/2750511.2750526 dblp:conf/ehealth/LindgrenY15 fatcat:wylhazekzne3jladeef5u7drmm
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