IJIMAI20184 7.Pdf

INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE ISSN: 1989-1660 –VOL. 4, NUMBER 7 IMAI RESEARCH GROUP COUNCIL Director - Dr. Rubén González Crespo, Universidad Internacional de La Rioja (UNIR), Spain Office of Publications - Lic. Ainhoa Puente, Universidad Internacional de La Rioja (UNIR), Spain Latin-America Regional Manager - Dr. Carlos Enrique Montenegro Marín, Francisco José de Caldas District University, Colombia EDITORIAL TEAM Editor-in-Chief Dr. Rubén González Crespo, Universidad Internacional de La Rioja – UNIR, Spain Associate Editors Dr. Óscar Sanjuán Martínez, CenturyLink, USA Dr. Jordán Pascual Espada, ElasticBox, USA Dr. Juan Pavón Mestras, Complutense University of Madrid, Spain Dr. Alvaro Rocha, University of Coimbra, Portugal Dr. Jörg Thomaschewski, Hochschule Emden/Leer, Emden, Germany Dr. Carlos Enrique Montenegro Marín, Francisco José de Caldas District University, Colombia Dr. Vijay Bhaskar Semwal, Indian Institute of Information Technology Dharwad, India Dr. Elena Verdú, Universidad Internacional de La Rioja (UNIR), Spain Editorial Board Members Dr. Rory McGreal, Athabasca University, Canada Dr. Jesús Soto, SEPES, Spain Dr. Nilanjan Dey, Techo India College of Technology, India Dr. Abelardo Pardo, University of Sidney, Australia Dr. Hernán Sasastegui Chigne, UPAO, Perú Dr. Lei Shu, Osaka University, Japan Dr. Roberto Recio, Cooperative University of Colombia, Colombia Dr. León Welicki, Microsoft, USA Dr. Enrique Herrera, University of Granada, Spain Dr. Francisco Chiclana, De Montfort University, United Kingdom Dr. Luis Joyanes Aguilar, Pontifical University of Salamanca, Spain Dr. Ioannis Konstantinos Argyros, Cameron University, USA Dr. Juan Manuel Cueva Lovelle, University of Oviedo, Spain Dr. Pekka Siirtola, University of Oulu, Finland Dr. Francisco Mochón Morcillo, National Distance Education University, Spain Dr. Peter A. Henning, Karlsruhe University of Applied Sciences, Germany Dr. Manuel Pérez Cota, University of Vigo, Spain Dr. Walter Colombo, Hochschule Emden/Leer, Emden, Germany Dr. Javier Bajo Pérez, Polytechnic University of Madrid, Spain Dr. Jinlei Jiang, Dept. of Computer Science & Technology, Tsinghua University, China Dr. B. Cristina Pelayo G. Bustelo, University of Oviedo, Spain Dr. Cristian Iván Pinzón, Technological University of Panama, Panama Dr. José Manuel Sáiz Álvarez, Nebrija University, Spain Dr. Masao Mori, Tokyo Institue of Technology, Japan Dr. Daniel Burgos,Universidad Internacional de La Rioja - UNIR, Spain Dr. JianQiang Li, NEC Labs, China Dr. David Quintana, Carlos III University, Spain Dr. Ke Ning, CIMRU, NUIG, Ireland Dr. Alberto Magreñán, Real Spanish Mathematical Society, Spain Dr. Monique Janneck, Lübeck University of Applied Sciences, Germany Dr. Carina González, La Laguna University, Spain Dr. David L. La Red Martínez, National University of North East, Argentina Dr. Juan Francisco de Paz Santana, University of Salamanca, Spain - 2 - Dr. Héctor Fernández, INRIA, Rennes, France Dr. Yago Saez, Carlos III University of Madrid, Spain Dr. Andrés G. Castillo Sanz, Pontifical University of Salamanca, Spain Dr. Pablo Molina, Autonoma University of Madrid, Spain Dr. José Miguel Castillo, SOFTCAST Consulting, Spain Dr. Sukumar Senthilkumar, University Sains Malaysia, Malaysia Dr. Juan Antonio Morente, University of Granada, Spain Dr. Holman Diego Bolivar Barón, Catholic University of Colombia, Colombia Dr. Sara Rodríguez González, University of Salamanca, Spain Dr. José Javier Rainer Granados, Universidad Internacional de La Rioja - UNIR, Spain Dr. Elpiniki I. Papageorgiou, Technological Educational Institute of Central Greece, Greece Dr. Edward Rolando Nuñez Valdez, Open Software Foundation, Spain Dr. Luis de la Fuente Valentín, Universidad Internacional de La Rioja - UNIR, Spain Dr. Paulo Novais, University of Minho, Portugal Dr. Giovanny Tarazona, Francisco José de Caldas District University, Colombia Dr. Javier Alfonso Cedón, University of León, Spain Dr. Sergio Ríos Aguilar, Corporate University of Orange, Spain Dr. Mohamed Bahaj, Settat, Faculty of Sciences & Technologies, Morocco Dr. Madalena Riberio, Polytechnic Institute of Castelo Branco, Portugal Dr. Edgar Henry Caballero Rúa, Inforfactory SRL, Bolivia - 3 - International Journal of Interactive Multimedia and Artificial Intelligence, Vol. 4, Nº7 Editor’s Note ata are becoming increasingly important in health management. The paper issued by Ignacio Hernández Medrano, Jorge Tello DJust think of the advantages that could derive from monitoring Guijarro, Cristóbal Belda, Alberto Ureña, Ignacio Salcedo, Horacio the vital signs of any person and their symptoms turning them into an Saggion and Luis Espinosa Anke, “Savana: re-using Electronic Health online platform that, upon proper authorization, doctors could access Records with Artificial Intelligence” focused on the fact that health at any time and from any place. This is just an example of the kind of information grows exponentially [5], thus generating more knowledge transformation processes that health management is undergoing. than we can apply [6]. Unlike what happened in the past, today doctors In this improvement of health services triggered by new technologies, no longer have time to keep updated. This fact explains well the reason Big Data is playing a prominent role. The benefits derived from Big Data why only one in five medical decisions are strictly based on evidence, [1] are becoming a reality in health fields [2] [3] as diverse as: medical a fact that leads to variability. A possible solution can be found on services, synthesis of data from medical histories and clinical analysis, clinical decision support systems [7], based on big data analysis. As management of health centers, hospital administration, distribution of the processing of large amounts of information gains relevance, big material (especially relevant to specific epidemic needs), detection and data analytics can see and correlate further than the human mind can. prevention of possible side effects of drugs and treatments, scientific This is where healthcare professionals count on a new tool to deal with documentation (generation, storage and exploitation), medical research, growing information. Savana uses natural language processing and fight against cancer or Pandemic prevention. neural networks to expand medical terminologies, allowing the re- use of natural language directly from clinical reports. This automated Big Data allows integrating structured and unstructured data and precise digital extraction allows the generation of a real time effectively. Where Big Data can bring more value is in the analysis of information engine, to be applied to care, research and management. unstructured data, in which there is more knowledge to be discovered and exploited. In addition to all this, there is data coming from social “DataCare: Big Data Analytics Solution for Intelligent Healthcare networks and those generated by the Internet of things; devices, Management” is the research carried out by Alejandro Baldominos, sensors, medical instruments, fitness equipment, ... Fernando De Rada, and Yago Saez. But the important thing is not to have a lot of data, but the fact that This paper presents DataCare, a solution for intelligent healthcare Big Data tools contribute to the design and implementation of efficient management. This tool is able not only to retrieve and aggregate data processes that help us carry out health care policies based not only on from different key performance indicators in healthcare centers [8][9], the available data, but also on their interpretation and understanding. but also to estimate future values for these key performance indicators This is how it can effectively contribute to improving health care, and, as a result, fire early alerts when undesirable values are about to saving lives, expanding access to health systems and optimizing costs. occur or provide recommendations to improve the quality of service. In this regard, the important role played by Big Data in genomic The architecture built up in this research ensures high scalability research and genome sequencing should be mentioned. which enables processing very high data volumes coming at fast speed Looking to the future the challenge is how to efficiently manage the from a large set of sources. growing amount of data that is being generated. Medicine and health This article describes the architecture designed for this project and are undergoing profound changes. Technological innovation combined the results obtained after conducting a pilot in a healthcare center. with automation and miniaturization has triggered an explosion in data Useful conclusions have been drawn regarding to how key performance production, which represents an important potential for improvement indicators change based on different situations, and how they affect in health. At the same time, we face a wide range of challenges patients’ satisfaction [10]. [4]. Exploitation of available data through progress in genomic The paper of Cristina Pruenza, María Teulón, Luis Lechuga, medicine, imaging, and a wide range of mobile health applications Julia Díaz and Ana González “Development of a predictive model or connected devices is hampered by numerous historical, technical, for induction success of labour” focused on a relevant issue for legal and political barriers. The lack of harmonization of data formats, obstetricians; that is the induction procedure. Obstetricians face processing, analysis and data transfer

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