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EE277 Cost of Stroke in Latin America: A Multicentric Time-Driven Activity-Based Costing Study

Autor: Dittrich, L ¹, Etges, AP ², Souza, JS ¹, Marcolino, MAZ ², Rocha, E ³, Amaya, P ⁴, Barboza, M ⁵, Saavedra, AG ⁶, Hornos, GP ⁶, Abanto, C ⁷, Castillo-Soto, AL ⁷, Llanos-Leyton, N. ⁸, Pujol Lereis, V ⁹, Pérez, MSR ⁹, Alet, M ⁹, Navia, V ¹⁰, Lopez, S ¹⁰, Arauz, A ¹¹, Serrano, F ¹¹, Chwal, B ¹², Carbonera, LA ¹³, Nogueira, RG ¹⁴, Saposnik, G ¹⁵, Polanczyk, CA ², Martins, S ¹³, Souza, AC ¹³

Publikováno v: In Value in Health December 2024 27(12) Supplement:S108-S108

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D6.2 Scalability of machine learning algorithms over every POMs

Autor: Navia-V��zquez, ��ngel, Cid-Sueiro, Jes��s, V��zquez, Manuel, D��az, Roberto, Fern��ndez, Jose Manuel, Medina, Jaime

This deliverable (D6.2 Scalability of machine learning algorithms over every POMs) is the result of task T6.2 (Assessing scalability and computational efficiency of federated privacy-preserving machine learning algorithms) and describes the results o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::31ec283e2be7ccc747d5f19d1631b2ce

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D4.7 Machine Learning Algorithms over Semi Honest Operation Modes �� Final Version

Autor: Navia-V��zquez, ��ngel, Sueiro, Jes��s Cid, L��pez, Manuel V��zquez, Gonz��lez-Serrano, Francisco

This deliverable (D4.7 Machine Learning Algorithms over Semi Honest Operation Modes �� Final Version) comprises the MUSKETEER Machine Learning Library (MMLL) needed to execute the distributed learning under POMs 4, 5 and 6, as well as some dem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c70f5c83952a526915730697c625dce6

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D4.3 Pre-processing, normalization, data alignment and data value estimation algorithms �� Final version

Autor: Navia-V��zquez, ��ngel, Cid-Sueiro, Jes��s, V��zquez-L��pez, Manuel

This deliverable (D4.3 "Pre-processing, normalization, data alignment and data value estimation: Final version") describes the functionalities included in the MUSKETEER Machine Learning Library (MMLL) with respect to preprocessing, normalization, dat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d0f8f04984b5fa40d92aedbdb33c9b65

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Global Impact of COVID-19 on Stroke Care and IV Thrombolysis

Autor: Nogueira, R.G. Qureshi, M.M. Abdalkader, M. Martins, S.O. Yamagami, H. Qiu, Z. Mansour, O.Y. Sathya, A. Czlonkowska, A. Tsivgoulis, G. Aguiar de Sousa, D. Demeestere, J. Mikulik, R. Vanacker, P. Siegler, J.E. Kõrv, J. Biller, J. Liang, C.W. Sangha, N.S. Zha, A.M. Czap, A.L. Holmstedt, C.A. Turan, T.N. Ntaios, G. Malhotra, K. Tayal, A. Loochtan, A. Ranta, A. Mistry, E.A. Alexandrov, A.W. Huang, D.Y. Yaghi, S. Raz, E. Sheth, S.A. Mohammaden, M.H. Frankel, M. Bila Lamou, E.G. Aref, H.M. Elbassiouny, A. Hassan, F. Menecie, T. Mustafa, W. Shokri, H.M. Roushdy, T. Sarfo, F.S. Alabi, T.O. Arabambi, B. Nwazor, E.O. Sunmonu, T.A. Wahab, K. Yaria, J. Mohammed, H.H. Adebayo, P.B. Riahi, A.D. Sassi, S.B. Gwaunza, L. Ngwende, G.W. Sahakyan, D. Rahman, A. Ai, Z. Bai, F. Duan, Z. Hao, Y. Huang, W. Li, G. Li, W. Liu, G. Luo, J. Shang, X. Sui, Y. Tian, L. Wen, H. Wu, B. Yan, Y. Yuan, Z. Zhang, H. Zhang, J. Zhao, W. Zi, W. Leung, T.W. Chugh, C. Huded, V. Menon, B. Pandian, J.D. Sylaja, P.N. Usman, F.S. Farhoudi, M. Hokmabadi, E.S. Horev, A. Reznik, A. Sivan Hoffmann, R. Ohara, N. Sakai, N. Watanabe, D. Yamamoto, R. Doijiri, R. Tokuda, N. Yamada, T. Terasaki, T. Yazawa, Y. Uwatoko, T. Dembo, T. Shimizu, H. Sugiura, Y. Miyashita, F. Fukuda, H. Miyake, K. Shimbo, J. Sugimura, Y. Yagita, Y. Takenobu, Y. Matsumaru, Y. Yamada, S. Kono, R. Kanamaru, T. Yamazaki, H. Sakaguchi, M. Todo, K. Yamamoto, N. Sonoda, K. Yoshida, T. Hashimoto, H. Nakahara, I. Kondybayeva, A. Faizullina, K. Kamenova, S. Zhanuzakov, M. Baek, J.-H. Hwang, Y. Lee, J.S. Lee, S.B. Moon, J. Park, H. Seo, J.H. Seo, K.-D. Sohn, S.I. Young, C.J. Ahdab, R. Wan Zaidi, W.A. Aziz, Z.A. Basri, H.B. Chung, L.W. Ibrahim, A.B. Ibrahim, K.A. Looi, I. Tan, W.Y. Yahya, N.W. Groppa, S. Leahu, P. Al Hashmi, A.M. Imam, Y.Z. Akhtar, N. Pineda-Franks, M.C. Co, C.O. Kandyba, D. Alhazzani, A. Al-Jehani, H. Tham, C.H. Mamauag, M.J. Venketasubramanian, N. Chen, C.-H. Tang, S.-C. Churojana, A. Akil, E. Aykaç, Ö. Ozdemir, A.O. Giray, S. Hussain, S.I. John, S. Le Vu, H. Tran, A.D. Nguyen, H.H. Nhu Pham, T. Nguyen, T.H. Nguyen, T.Q. Gattringer, T. Enzinger, C. Killer-Oberpfalzer, M. Bellante, F. De Blauwe, S. Vanhooren, G. De Raedt, S. Dusart, A. Lemmens, R. Ligot, N. Pierre Rutgers, M. Yperzeele, L. Alexiev, F. Sakelarova, T. Bedeković, M.R. Budincevic, H. Cindric, I. Hucika, Z. Ozretic, D. Saric, M.S. Pfeifer, F. Karpowic, I. Cernik, D. Sramek, M. Skoda, M. Hlavacova, H. Klecka, L. Koutny, M. Vaclavik, D. Skoda, O. Fiksa, J. Hanelova, K. Nevsimalova, M. Rezek, R. Prochazka, P. Krejstova, G. Neumann, J. Vachova, M. Brzezanski, H. Hlinovsky, D. Tenora, D. Jura, R. Jurák, L. Novak, J. Novak, A. Topinka, Z. Fibrich, P. Sobolova, H. Volny, O. Krarup Christensen, H. Drenck, N. Klingenberg Iversen, H. Simonsen, C.Z. Truelsen, T.C. Wienecke, T. Vibo, R. Gross-Paju, K. Toomsoo, T. Antsov, K. Caparros, F. Cordonnier, C. Dan, M. Faucheux, J.-M. Mechtouff, L. Eker, O. Lesaine, E. Ondze, B. Peres, R. Pico, F. Piotin, M. Pop, R. Rouanet, F. Gubeladze, T. Khinikadze, M. Lobjanidze, N. Tsiskaridze, A. Nagel, S. Ringleb, P.A. Rosenkranz, M. Schmidt, H. Sedghi, A. Siepmann, T. Szabo, K. Thomalla, G. Palaiodimou, L. Sagris, D. Kargiotis, O. Klivenyi, P. Szapary, L. Tarkanyi, G. Adami, A. Bandini, F. Calabresi, P. Frisullo, G. Renieri, L. Sangalli, D. Pirson, A. Uyttenboogaart, M. van den Wijngaard, I. Kristoffersen, E.S. Brola, W. Fudala, M. Horoch-Lyszczarek, E. Karlinski, M. Kazmierski, R. Kram, P. Rogoziewicz, M. Kaczorowski, R. Luchowski, P. Sienkiewicz-Jarosz, H. Sobolewski, P. Fryze, W. Wisniewska, A. Wiszniewska, M. Ferreira, P. Ferreira, P. Fonseca, L. Marto, J.P. Pinho E Melo, T. Nunes, A.P. Rodrigues, M. Tedim Cruz, V. Falup-Pecurariu, C. Krastev, G. Mako, M. de Leciñana, M.A. Arenillas, J.F. Ayo-Martin, O. Cruz Culebras, A. Tejedor, E.D. Montaner, J. Pérez-Sánchez, S. Tola Arribas, M.A. Rodriguez Vasquez, A. Mayza, M. Bernava, G. Brehm, A. Machi, P. Fischer, U. Gralla, J. Michel, P.L. Psychogios, M.-N. Strambo, D. Banerjee, S. Krishnan, K. Kwan, J. Butt, A. Catanese, L. Demchuk, A.M. Field, T. Haynes, J. Hill, M.D. Khosravani, H. Mackey, A. Pikula, A. Saposnik, G. Scott, C.A. Shoamanesh, A. Shuaib, A. Yip, S. Barboza, M.A. Barrientos, J.D. Portillo Rivera, L.I. Gongora-Rivera, F. Novarro-Escudero, N. Blanco, A. Abraham, M. Alsbrook, D. Altschul, D. Alvarado-Ortiz, A.J. Bach, I. Badruddin, A. Barazangi, N. Brereton, C. Castonguay, A. Chaturvedi, S. Chaudry, S.A. Choe, H. Choi, J.H. Dharmadhikari, S. Desai, K. Devlin, T.G. Doss, V.T. Edgell, R. Etherton, M. Farooqui, M. Frei, D. Gandhi, D. Grigoryan, M. Gupta, R. Hassan, A.E. Helenius, J. Kaliaev, A. Kaushal, R. Khandelwal, P. Khawaja, A.M. Khoury, N.N. Kim, B.S. Kleindorfer, D.O. Koyfman, F. Lee, V.H. Leung, L.Y. Linares, G. Linfante, I. Lutsep, H.L. Macdougall, L. Male, S. Malik, A.M. Masoud, H. McDermott, M. Mehta, B.P. Min, J. Mittal, M. Morris, J.G. Multani, S.S. Nahab, F. Nalleballe, K. Nguyen, C.B. Novakovic-White, R. Ortega-Gutierrez, S. Rahangdale, R.H. Ramakrishnan, P. Romero, J.R. Rost, N. Rothstein, A. Ruland, S. Shah, R. Sharma, M. Silver, B. Simmons, M. Singh, A. Starosciak, A.K. Strasser, S.L. Szeder, V. Teleb, M. Tsai, J.P. Voetsch, B. Balaguera, O. Pujol Lereis, V.A. Luraschi, A. Almeida, M.S. Cardoso, F.B. Conforto, A. De Deus Silva, L. Varrone Giacomini, L. Oliveira Lima, F. Longo, A.L. Magalhães, P.S.C. Martins, R.T. Mont'alverne, F. Mora Cuervo, D.L. Costa Rebello, L. Valler, L. Zetola, V.F. Lavados, P.M. Navia, V. Olavarría, V.V. Almeida Toro, J.M. Amaya, P.F.R. Bayona, H. Corredor, A. Rivera Ordonez, C.E. Mantilla Barbosa, D.K. Lara, O. Patiño, M.R. Diaz Escobar, L.F. Dejesus Melgarejo Fariña, D.E. Cardozo Villamayor, A. Zelaya Zarza, A.J. Barrientos Iman, D.M. Rodriguez Kadota, L. Campbell, B. Hankey, G.J. Hair, C. Kleinig, T. Ma, A. Tomazini Martins, R. Sahathevan, R. Thijs, V. Salazar, D. Yuan-Hao Wu, T. Haussen, D.C. Liebeskind, D. Yavagal, D.R. Jovin, T.G. Zaidat, O.O. Nguyen, T.N. SVIN COVID-19 Global Stroke Registry SVIN COVID-19 Global Stroke Registry

OBJECTIVE: To measure the global impact of COVID-19 pandemic on volumes of IV thrombolysis (IVT), IVT transfers, and stroke hospitalizations over 4 months at the height of the pandemic (March 1 to June 30, 2020) compared with 2 control 4-month period

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2127::2ed670180d644af21926571cb91851d3
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3102266

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Double Confidential Federated Machine Learning Logistic Regression for Industrial Data Platforms

Autor: Navia-V��zquez, Angel, V��zquez-L��pez, Manuel, Cid-Sueiro, Jes��s

Research paper on Double Confidential Federated Learning published at International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2020 (FL-ICML'20). The training data confidentiality is preserved, a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7248b2682327732173576c5090fa6285

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Akademický článek

Documentos Sentires teológicos emergentes: retos a construir.

Autor: NAVIA V., CARMIÑA¹ cnaviavelasco@emcali.net.co

Publikováno v: Theologica Xaveriana. jul-dic2009, Vol. 59 Issue 168, p491-503. 13p.

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