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2. Search Space Reduction in Road Networks for the Ambulance Location and Allocation Optimization Problems: A Real Case Study

Author

Medina-Perez, Miguel, Legaria-Santiago, Valeria Karina, Guzmán, Giovanni, Saldana-Perez, Magdalena, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Mata-Rivera, Miguel Félix, editor, Zagal-Flores, Roberto, editor, and Barria-Huidobro, Cristian, editor

Published
2023
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5. Contributors

Author

AbuKhousa, Eman, primary, Al-Jaroodi, Jameela, additional, Banerjee, Subhanil, additional, Bednarova, Rym, additional, Beltrán-Chávez, Francisco, additional, Bhattacharyya, Debnath, additional, Bholat, Michelle A., additional, Bhowmik, Anirban, additional, Biancuzzi, Helena, additional, Campos, Blanca, additional, Chui, Kwok Tai, additional, Cilliers, Liezel, additional, Cobianchi, Lorenzo, additional, Dal Mas, Francesca, additional, Dave, Sumita, additional, Dey, Joydeep, additional, Drachmann, Danielle, additional, Eliasen, Bogi, additional, Faber, Nicolaj Holm, additional, Fischer, Florian, additional, Fullilove, Robert, additional, Fung, Yin-Chun, additional, Garrido-Gutierrez, Víctor, additional, Ghanem, Mouna, additional, Godfrey, Thomas, additional, Gomez, Teresita, additional, Gupta, Shilpi, additional, Guzmán, Giovanni, additional, Hassell, Lewis, additional, He, Long, additional, Johnson, Joseph, additional, Kalina, Jan, additional, Karforma, Sunil, additional, Koner, Souren, additional, Lee, Lap-Kei, additional, Marline Joys Kumari, N., additional, Marseglia, Giuseppe Roberto, additional, Mata-Rivera, Félix, additional, Miceli, Luca, additional, Mohamed, Nader, additional, Moreno-Ibarra, Marco, additional, Münter, Lars, additional, Nazari, Elham, additional, Neal Joshua, Eali Stephen, additional, Pantanowitz, Liron, additional, Quintero, Rolando, additional, Ren, Yang, additional, Rivero, Mario, additional, Sahu, Varun Kumar, additional, Saldana-Perez, Magdalena, additional, Saxena, Sangeeta Gopal, additional, Sørensen, Kristine, additional, Tarn, Derjung M., additional, Thirupathi Rao, N., additional, Torres-Ruiz, Miguel, additional, Wu, Dezhi, additional, Yáñez-Márquez, Cornelio, additional, Yousif, Mustafa, additional, and Zagal-Flores, Roberto, additional

Published
2022
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8. Local Tours Recommendation Applying Machine Learning in Social Networks

Author

Medina, Braulio, Pineda, Alejandro, Guzmán, Giovanni, Garay Jimenez, Laura Ivoone, Rivera, Miguel Félix Mata, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Mata-Rivera, Miguel Félix, editor, Zagal-Flores, Roberto, editor, and Barria-Huidobro, Cristian, editor

Published
2020
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9. Medical Support Vehicle Location and Deployment at Mass Casualty Incidents.

Author

Medina-Perez, Miguel, Guzmán, Giovanni, Saldana-Perez, Magdalena, and Legaria-Santiago, Valeria Karina

Subjects
*MASS casualties, *METAHEURISTIC algorithms, *EMERGENCY management, *WEATHER, *TRANSPARENCY in government
Abstract

Anticipating and planning for the urgent response to large-scale disasters is critical to increase the probability of survival at these events. These incidents present various challenges that complicate the response, such as unfavorable weather conditions, difficulties in accessing affected areas, and the geographical spread of the victims. Furthermore, local socioeconomic factors, such as inadequate prevention education, limited disaster resources, and insufficient coordination between public and private emergency services, can complicate these situations. In large-scale emergencies, multiple demand points (DPs) are generally observed, which requires efforts to coordinate the strategic allocation of human and material resources in different geographical areas. Therefore, the precise management of these resources based on the specific needs of each area becomes fundamental. To address these complexities, this paper proposes a methodology that models these scenarios as a multi-objective optimization problem, focusing on the location-allocation problem of resources in Mass Casualty Incidents (MCIs). The proposed case study is Mexico City in a earthquake post-disaster scenario, using voluntary geographic information, open government data, and historical data from the 19 September 2017 earthquake. It is assumed that the resources that require optimal location and allocation are ambulances, which focus on medical issues that affect the survival of victims. The designed solution involves the use of a metaheuristic optimization technique, along with a parameter tuning technique, to find configurations that perform at different instances of the problem, i.e., different hypothetical scenarios that can be used as a reference for future possible situations. Finally, the objective is to present the different solutions graphically, accompanied by relevant information to facilitate the decision-making process of the authorities responsible for the practical implementation of these solutions. [ABSTRACT FROM AUTHOR]

Published
2024
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12. List of contributors

Author

Abuzenada, Maha, primary, Acosta-Arenas, Ana, additional, Ahmad, Usman, additional, Albuquerque, Firmina Hermelinda Saldanha, additional, Alelyani, Salem, additional, Alfian, Ganjar, additional, Aljohani, Naif Radi, additional, Almehda, Manal Hassan, additional, Alsaqer, Mohammed, additional, Alsaywid, Basim, additional, Ansari, Yumna, additional, Apostolaki, Areti, additional, Brahimi, Tayeb, additional, Chui, Kwok Tai, additional, de Pablos, Patricia Ordóñez, additional, de Sousa Martins, Izabela, additional, de Vasconcelos Filho, José Eurico, additional, dos Santos, Maria Solange Nogueira, additional, Feng, Zikun, additional, Fitriyani, Norma Latif, additional, Frota, Mirna Albuquerque, additional, Fung, Yin-Chun, additional, Gao, Yuan, additional, Geropanta, Vasiliki, additional, Gil, David, additional, Guerrero, Margarita, additional, Guzmán, Giovanni, additional, Hassan, Saeed-Ul, additional, Ho, Chun-Ho, additional, Housawi, Abdulrahman, additional, Iqbal, Sehrish, additional, Jorgensen, Sarah, additional, Khan, Muhammad Asmatullah, additional, Lee, Lap-Kei, additional, Leung, Ka-Yuen, additional, Leung, Pak Ho, additional, Li, Bing, additional, Li, Yan, additional, Liu, Ryan Wen, additional, Liu, Zhao, additional, Lo, Kenneth, additional, Lytra, Hara, additional, Lytras, Dimitrios M., additional, Lytras, Miltiadis D., additional, Mir, Nighat, additional, Mora, Higinio, additional, Moreno-Ibarra, Marco, additional, Papadopoulou, Paraskevi, additional, Peral, Jesús, additional, Pinheiro, Mírian Calíope Dantas, additional, Pinheiro, Placido Rogerio, additional, Qureshi, Saqib Ahmed, additional, Rhee, Jongtae, additional, Rolim, Karla Maria Carneiro, additional, Safder, Iqra, additional, Sánchez, Víctor, additional, Sarirete, Akila, additional, Serireti, Akila, additional, Subasi, Abdulhamit, additional, Syaekhoni, M. Alex, additional, Syafrudin, Muhammad, additional, Tolah, Abrar W., additional, Torres-Ruiz, Miguel, additional, Tsang, Tsz-Kin, additional, Visvizi, Anna, additional, Wu, Nga-In, additional, Zhang, Zhao, additional, and Zhao, Mingbo, additional

Published
2021
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18. A Collaborative Framework for Sensing Abnormal Heart Rate Based on a Recommender System: Semantic Recommender System for Healthcare

Author

Guzmán, Giovanni, Torres-Ruiz, Miguel, Tambonero, Vianney, Lytras, Miltiadis, López-Ramírez, Blanca, Quintero, Rolando, Moreno-Ibarra, Marco, and Alhalabi, Wadee

Abstract

According to different studies, people are not able to identify the physiological symptoms related to high risk cardiovascular condition that could require medical attention. In consequence, when they see a medical doctor, the heart damage could be quite advanced. Moreover, there are several studies focused on applying the Framingham or systematic coronary risk evaluation indexes; however, the combination with other physiological variables such as lifestyle, current activity, and maximal heart rate has not been deeply studied in the state-of-the-art. This paper proposes a collaborative framework for sensing physiological variables to determine possible high risk cardiovascular conditions, it will also provide a weighted ranking list of medical speciality centers. The framework will consist of two stages: in the first one, an ubiquitous heart rate monitoring by using an ID3 decision tree is applied to classify sensed-data for identifying the presence of a high risk cardiovascular condition. The second stage proposes a recommender system leading towards extracting and clustering of a set of hospitals, in which the medical specialities are defined in an application ontology. The clustering process matches the hospital attention factor, in order to estimate the number of possible medical doctors and the required cardiovascular medical speciality. In conclusion, the proposal applies different decision trees such as ID3, J48, NBTree, and BFTree in order to evaluate and compare the classification performance. The effectiveness of the ID3 decision tree was 85.71%.

Published
2024
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20. List of contributors

Author

Al-Saud, Bander A., primary, Alfassam, Adel N., additional, Alshehri, Khaled A., additional, Asensio, Estefanía Serral, additional, Badawi, Samaa, additional, Bakry, Saad Haj, additional, Chui, Kwok Tai, additional, Doheim, Rahma M., additional, Dziembała, Małgorzata, additional, El-Kholei, Ahmed O., additional, Farag, Alshimaa A., additional, Feng, Yungang, additional, Guzmán, Giovanni, additional, Kendal, Dave, additional, Lee, Kate E., additional, Lim, Kwan Hui, additional, Liu, Ryan Wen, additional, López-Arranz, Asunción, additional, López-Ramírez, Blanca, additional, López, Enric Serradell, additional, Lytras, Miltiadis D., additional, Mathisen, Otto Vik, additional, Mora, Higinio, additional, Moreno-Ibarra, Marco, additional, Naghizade, Elham, additional, Nieto-Mengotti, Manuel, additional, Novo-Corti, Isabel, additional, Pérez-delHoyo, Raquel, additional, Radu, Laura-Diana, additional, Rao, Madhulika, additional, Rashidi, Lida, additional, Rybka-Iwańska, Katarzyna, additional, Simonofski, Anthony, additional, Sørbye, Maria E., additional, Stantchev, Vladimir, additional, Tamm, Gerrit, additional, Toriz Ramos, Cláudia, additional, Torres-Ruiz, Miguel, additional, Vasant, Pandian, additional, Visvizi, Anna, additional, Voda, Ana Iolanda, additional, Wang, Jia, additional, Wautelet, Yves, additional, Wu, Yung Chang, additional, Wu, Yenchun Jim, additional, and Wu, Shiann Ming, additional

Published
2019
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32. Towards a Semantic Representation of Raster Spatial Data

Author

Quintero, Rolando, Torres, Miguel, Moreno, Marco, Guzmán, Giovanni, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Janowicz, Krzysztof, editor, Raubal, Martin, editor, and Levashkin, Sergei, editor

Published
2009
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36. Applying A-Priori Knowledge for Compressing Digital Elevation Models

Author

Guzmán, Giovanni, Quintero, Rolando, Torres, Miguel, Moreno, Marco, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Gabrys, Bogdan, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2006
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37. Semantic Decomposition of LandSat TM Image

Author

Torres, Miguel, Guzmán, Giovanni, Quintero, Rolando, Moreno, Marco, Levachkine, Serguei, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Gabrys, Bogdan, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2006
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38. Managing Resolution in Digital Elevation Models Using Image Processing Techniques

Author

Quintero, Rolando, Levachkine, Serguei, Torres, Miguel, Moreno, Marco, Guzman, Giovanni, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Marques, Jorge S., editor, Pérez de la Blanca, Nicolás, editor, and Pina, Pedro, editor

Published
2005
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39. Semantic Supervised Clustering to Land Classification in Geo-Images

Author

Torres, Miguel, Guzman, Giovanni, Quintero, Rolando, Moreno, Marco, Levachkine, Serguei, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Khosla, Rajiv, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2005
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40. SIGES-PERE: A Collaborative GIS for Radiological Disaster Management

Author

Quintero, Rolando, Torres, Marco, Moreno, Miguel, Guzmán, Giovanni, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wimmer, Maria A., editor, Traunmüller, Roland, editor, Grönlund, Åke, editor, and Andersen, Kim V., editor

Published
2005
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41. Thinning Algorithm to Generate k-Connected Skeletons

Author

Díaz de León, Juan Luis, Yánez, C., Guzmán, Giovanni, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sanfeliu, Alberto, editor, Martínez Trinidad, José Francisco, editor, and Carrasco Ochoa, Jesús Ariel, editor

Published
2004
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50. KEY FACTORS IN THE RESPONSE TO THE COVID-19 PANDEMIC IN URUGUAY.

Author

Guzmán, Giovanni Escalante

Subjects
COVID-19 pandemic, PATIENT-centered care, HEALTH planning, INTERNATIONAL cooperation, SUSTAINABLE development
Abstract

Background: The response to the COVID-19 pandemic was comprehensive in Uruguay, leading to lower mortality and lethality compared to other Latin American countries. Objectives: Identify key factors that contributed to the comprehensive response to the Covid-19 pandemic in Uruguay. Methods: Participant observation, analysis of data, interviews with key stakeholders, and review of secondary sources from the moment of the appearance of the first case on March 13 until December 2020. Results: We identified nine key factors that contributed to the comprehensive response to the COVID-19 pandemic in Uruguay and the favorable effects on the reduction of morbidity and mortality. Conclusions: The simultaneous existence of the nine factors facilitated the preparation, control, and remediation of the COVID-19 pandemic in Uruguay. [ABSTRACT FROM AUTHOR]

Published
2021

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