Materias dentro de su búsqueda.
Mostrando 2,241 - 2,260 Resultados de 2,335 Para Buscar '"data science"', tiempo de consulta: 0.69s Limitar resultados
  1. 2241
    “…Electronic health record data relating to people in a national England database (NHS England’s Secure Data Environment, accessed via the BHF Data Science Centre's CVD-COVID-UK/COVID-IMPACT consortium) were analysed. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Sars-Cov-2 Infection in People with Type 1 Diabetes and Hospital Admission: An Analysis of Risk Factors for England
  2. 2242
    por Fleuren, Lucas M., Dam, Tariq A., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C. A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, Kamps, Marlijn J. A., Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G. C. A., de Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G. M., Mehagnoul-Schipper, D. Jannet, Dormans, Tom, de Jager, Cornelis P. C., Hendriks, Stefaan H. A., Achterberg, Sefanja, Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert B., Cornet, Alexander D., van den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Faber, Harald J., Karakus, A., Entjes, Robert, de Jong, Paul, Rettig, Thijs C. D., Arbous, Sesmu, Vonk, Sebastiaan J. J., Fornasa, Mattia, Machado, Tomas, Houwert, Taco, Hovenkamp, Hidde, Noorduijn-Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Cina, Giovanni, Beudel, Martijn, Herter, Willem E., Girbes, Armand R. J., Hoogendoorn, Mark, Thoral, Patrick J., Elbers, Paul W. G.
    Publicado 2021
    “…These initiatives are indispensable to advance medical data science in the field of intensive care medicine. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients
  3. 2243
    por Smolensky, Luba
    Publicado 2020
    “…OBJECTIVES/GOALS: This team science pilot program aims to elevate the quality of Parkinson’s disease modeling initiatives by strengthening connections between clinical researchers and computational teams. As many data science projects in Parkinson’s research would benefit from deeper clinical expertise, many clinical engagements would be improved by upfront integration of computational requirements. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    4319 Team Science in Parkinson’s Research: Connecting Clinicians and Computational Teams
  4. 2244
    por Singh, Prateek, Ujjainiya, Rajat, Prakash, Satyartha, Naushin, Salwa, Sardana, Viren, Bhatheja, Nitin, Singh, Ajay Pratap, Barman, Joydeb, Kumar, Kartik, Gayali, Saurabh, Khan, Raju, Rawat, Birendra Singh, Tallapaka, Karthik Bharadwaj, Anumalla, Mahesh, Lahiri, Amit, Kar, Susanta, Bhosale, Vivek, Srivastava, Mrigank, Mugale, Madhav Nilakanth, Pandey, C.P., Khan, Shaziya, Katiyar, Shivani, Raj, Desh, Ishteyaque, Sharmeen, Khanka, Sonu, Rani, Ankita, Promila, Sharma, Jyotsna, Seth, Anuradha, Dutta, Mukul, Saurabh, Nishant, Veerapandian, Murugan, Venkatachalam, Ganesh, Bansal, Deepak, Gupta, Dinesh, Halami, Prakash M., Peddha, Muthukumar Serva, Veeranna, Ravindra P., Pal, Anirban, Singh, Ranvijay Kumar, Anandasadagopan, Suresh Kumar, Karuppanan, Parimala, Rahman, Syed Nasar, Selvakumar, Gopika, Venkatesan, Subramanian, Karmakar, Malay Kumar, Sardana, Harish Kumar, Kothari, Anamika, Parihar, Devendra Singh, Thakur, Anupma, Saifi, Anas, Gupta, Naman, Singh, Yogita, Reddu, Ritu, Gautam, Rizul, Mishra, Anuj, Mishra, Avinash, Gogeri, Iranna, Rayasam, Geethavani, Padwad, Yogendra, Patial, Vikram, Hallan, Vipin, Singh, Damanpreet, Tirpude, Narendra, Chakrabarti, Partha, Maity, Sujay Krishna, Ganguly, Dipyaman, Sistla, Ramakrishna, Balthu, Narender Kumar, A, Kiran Kumar, Ranjith, Siva, Kumar, B. Vijay, Jamwal, Piyush Singh, Wali, Anshu, Ahmed, Sajad, Chouhan, Rekha, Gandhi, Sumit G., Sharma, Nancy, Rai, Garima, Irshad, Faisal, Jamwal, Vijay Lakshmi, Paddar, Masroor Ahmad, Khan, Sameer Ullah, Malik, Fayaz, Ghosh, Debashish, Thakkar, Ghanshyam, Barik, S.K., Tripathi, Prabhanshu, Satija, Yatendra Kumar, Mohanty, Sneha, Khan, Md. Tauseef, Subudhi, Umakanta, Sen, Pradip, Kumar, Rashmi, Bhardwaj, Anshu, Gupta, Pawan, Sharma, Deepak, Tuli, Amit, Ray chaudhuri, Saumya, Krishnamurthi, Srinivasan, Prakash, L., Rao, Ch V., Singh, B.N., Chaurasiya, Arvindkumar, Chaurasiyar, Meera, Bhadange, Mayuri, Likhitkar, Bhagyashree, Mohite, Sharada, Patil, Yogita, Kulkarni, Mahesh, Joshi, Rakesh, Pandya, Vaibhav, Mahajan, Sachin, Patil, Amita, Samson, Rachel, Vare, Tejas, Dharne, Mahesh, Giri, Ashok, Mahajan, Sachin, Paranjape, Shilpa, Sastry, G. Narahari, Kalita, Jatin, Phukan, Tridip, Manna, Prasenjit, Romi, Wahengbam, Bharali, Pankaj, Ozah, Dibyajyoti, Sahu, Ravi Kumar, Dutta, Prachurjya, Singh, Moirangthem Goutam, Gogoi, Gayatri, Tapadar, Yasmin Begam, Babu, Elapavalooru VSSK., Sukumaran, Rajeev K., Nair, Aishwarya R., Puthiyamadam, Anoop, Valappil, Prajeesh Kooloth, Pillai Prasannakumari, Adrash Velayudhan, Chodankar, Kalpana, Damare, Samir, Agrawal, Ved Varun, Chaudhary, Kumardeep, Agrawal, Anurag, Sengupta, Shantanu, Dash, Debasis
    Publicado 2022
    “…Data science has been an invaluable part of the COVID-19 pandemic response with multiple applications, ranging from tracking viral evolution to understanding the vaccine effectiveness. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys
  5. 2245
    “…TRI covers a diverse set of informatics content presented as modules: genomics and bioinformatics, electronic health records, exposomics, microbiomics, molecular methods, data integration and fusion, metadata management, semantics, software architectures, mobile computing, sensors, recruitment, community engagement, secure computing environments, data mining, machine learning, deep learning, artificial intelligence and data science, open source informatics tools and platforms, research reproducibility, and uncertainty quantification. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    3339 Development of a Competency-based Informatics Course for Translational Researchers
  6. 2246
    por Achenbach, P., Adhikari, D., Afanasev, A., Afzal, F., Aidala, C.A., Al-bataineh, A., Almaalol, D.K., Amaryan, M., Androic, D., Armstrong, W.R., Arratia, M., Arrington, J., Asaturyan, A., Aschenauer, E.C., Atac, H., Avakian, H., Averett, T., Ayerbe Gayoso, C., Bai, X., Barish, K.N., Barnea, N., Basar, G., Battaglieri, M., Baty, A.A., Bautista, I., Bazilevsky, A., Beattie, C., Behera, S.C., Bellini, V., Bellwied, R., Benesch, J.F., Benmokhtar, F., Bernardes, C.A., Bernauer, J.C., Bhatt, H., Bhatta, S., Boer, M., Boettcher, T.J., Bogacz, S.A., Bossi, H.J., Brandenburg, J.D., Brash, E.J., Briceño, R.A., Briscoe, W.J., Brodsky, S.J., Brown, D.A., Burkert, V.D., Caines, H., Cali, I.A., Camsonne, A., Carman, D.S., Caylor, J., Cerci, S., Llatas, M. Chamizo, Chatterjee, S., Chen, J.P., Chen, Y., Chen, Y.-C., Chien, Y.-T., Chou, P.-C., Chu, X., Chudakov, E., Cline, E., Cloët, I.C., Cole, P.L., Connors, M.E., Constantinou, M., Cosyn, W., Dusa, S. Covrig, Cruz-Torres, R., D'Alesio, U., da Silva, C., Davoudi, Z., Dean, C.T., Dean, D.J., Demarteau, M., Deshpande, A., Detmold, W., Deur, A., Devkota, B.R., Dhital, S., Diefenthaler, M., Dobbs, S., Döring, M., Dong, X., Dotel, R., Dow, K.A., Downie, E.J., Drachenberg, J.L., Dumitru, A., Dunlop, J.C., Dupre, R., Durham, J.M., Dutta, D., Edwards, R.G., Ehlers, R.J., El Fassi, L., Elaasar, M., Elouadrhiri, L., Engelhardt, M., Ent, R., Esumi, S., Evdokimov, O., Eyser, O., Fanelli, C., Fatemi, R., Fernando, I.P., Flor, F.A., Fomin, N., Frawley, A.D., Frederico, T., Fries, R.J., Gal, C., Gamage, B.R., Gamberg, L., Gao, H., Gaskell, D., Geurts, F., Ghandilyan, Y., Ghimire, N., Gilman, R., Gleason, C., Gnanvo, K., Gothe, R.W., Greene, S.V., Grießhammer, H.W., Grossberndt, S.K., Grube, B., Hackett, D.C., Hague, T.J., Hakobyan, H., Hansen, J.-O., Hatta, Y., Hattawy, M., Havener, L.B., Hen, O., Henry, W., Higinbotham, D.W., Hobbs, T.J., Hodges, A.M., Holmstrom, T., Hong, B., Horn, T., Howell, C.R., Huang, H.Z., Huang, M., Huang, S., Huber, G.M., Hyde, C.E., Isupov, E.L., Jacobs, P.M., Jalilian-Marian, J., Jentsch, A., Jheng, H., Ji, C.-R., Ji, X., Jia, J., Jones, D.C., Jones, M.K., Kalantarians, N., Kalicy, G., Kang, Z.B., Karthein, J.M., Keller, D., Keppel, C., Khachatryan, V., Kharzeev, D.E., Kim, H., Kim, M., Kim, Y., King, P.M., Kinney, E., Klein, S.R., Ko, H.S., Koch, V., Kohl, M., Kovchegov, Y.V., Krintiras, G.K., Kubarovsky, V., Kuhn, S.E., Kumar, K.S., Kutz, T., Lajoie, J.G., Lauret, J., Lavrukhin, I., Lawrence, D., Lee, J.H., Lee, K., Lee, S., Lee, Y.-J., Li, S., Li, W., Li, Xiaqing, Li, Xuan, Liao, J., Lin, H.-W., Lisa, M.A., Liu, K.-F., Liu, M.X., Liu, T., Liuti, S., Liyanage, N., Llope, W.J., Loizides, C., Longo, R., Lorenzon, W., Lunkenheimer, S., Luo, X., Ma, R., McKinnon, B., Meekins, D.G., Mehtar-Tani, Y., Melnitchouk, W., Metz, A., Meyer, C.A., Meziani, Z.-E., Michaels, R., Michel, J.K.L., Milner, R.G., Mkrtchyan, H., Mohanmurthy, P., Mohanty, B., Mokeev, V.I., Moon, D.H., Mooney, I.A., Morningstar, C., Morrison, D.P., Müller, B., Mukherjee, S., Mulligan, J., Munoz Camacho, C., Murillo Quijada, J.A., Murray, M.J., Nadeeshani, S.A., Nadel-Turonski, P., Nam, J.D., Nattrass, C.E., Nijs, G., Noronha, J., Noronha-Hostler, J., Novitzky, N., Nycz, M., Olness, F.I., Osborn, J.D., Pak, R., Pandey, B., Paolone, M., Papandreou, Z., Paquet, J.-F., Park, S., Paschke, K.D., Pasquini, B., Pasyuk, E., Patel, T., Patton, A., Paudel, C., Peng, C., Peng, J.C., Da Costa, H. Pereira, Perepelitsa, D.V., Peters, M.J., Petreczky, P., Pisarski, R.D., Pitonyak, D., Ploskon, M.A., Posik, M., Poudel, J., Pradhan, R., Prokudin, A., Pruneau, C.A., Puckett, A.J.R., Pujahari, P., Putschke, J., Pybus, J.R., Qiu, J.-W., Rajagopal, K., Ratti, C., Read, K.F., Reed, R., Richards, D.G., Riedl, C., Ringer, F., Rinn, T., Rittenhouse West, J., Roche, J., Rodas, A., Roland, G., Romero-López, F., Rossi, P., Rostomyan, T., Ruan, L., Ruimi, O.M., Saha, N.R., Sahoo, N.R., Sakaguchi, T., Salazar, F., Salgado, C.W., Salmè, G., Salur, S., Santiesteban, S.N., Sargsian, M.M., Sarsour, M., Sato, N., Satogata, T., Sawada, S., Schäfer, T., Scheihing-Hitschfeld, B., Schenke, B., Schindler, S.T., Schmidt, A., Seidl, R., Shabestari, M.H., Shanahan, P.E., Shen, C., Sheng, T.-A., Shepherd, M.R., Sickles, A.M., Sievert, M.D., Smith, K.L., Song, Y., Sorensen, A., Souder, P.A., Sparveris, N., Srednyak, S., Leiton, A.G. Stahl, Stasto, A.M., Steinberg, P., Stepanyan, S., Stephanov, M., Stevens, J.R., Stewart, D.J., Stewart, I.W., Stojanovic, M., Strakovsky, I., Strauch, S., Strickland, M., Sunar Cerci, D., Suresh, M., Surrow, B., Syritsyn, S., Szczepaniak, A.P., Tadepalli, A.S., Tang, A.H., Tapia Takaki, J.D., Tarnowsky, T.J., Tawfik, A.N., Taylor, M.I., Tennant, C., Thiel, A., Thomas, D., Tian, Y., Timmins, A.R., Tribedy, P., Tu, Z., Tuo, S., Ullrich, T., Umaka, E., Upton, D.W., Vary, J.P., Velkovska, J., Venugopalan, R., Vijayakumar, A., Vitev, I., Vogelsang, W., Vogt, R., Vossen, A., Voutier, E., Vovchenko, V., Walker-Loud, A., Wang, F., Wang, J., Wang, X., Wang, X.-N., Weinstein, L.B., Wenaus, T.J., Weyhmiller, S., Wissink, S.W., Wojtsekhowski, B., Wong, C.P., Wood, M.H., Wunderlich, Y., Wyslouch, B., Xiao, B.W., Xie, W., Xiong, W., Xu, N., Xu, Q.H., Xu, Z., Yaari, D., Yao, X., Ye, Z., Ye, Z.H., Yero, C., Yuan, F., Zajc, W.A., Zhang, C., Zhang, J., Zhao, F., Zhao, Y., Zhao, Z.W., Zheng, X., Zhou, J., Zurek, M.
    Publicado 2023
    “…Section 7 describes the national need for nuclear data science and the relevance to QCD research.…”
    Enlace del recurso
    The Present and Future of QCD
  7. 2247
    por Rassy, Elie, Andre, Fabrice
    Publicado 2023
    “…The framework of this approach is based on the integration of basic biology, biotechnologies, data sciences, clinical research, and social sciences.…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Can Precision Oncology Benefit Patients With Cancers of Unknown Primary?
  8. 2248
    por Chen, Li
    Publicado 2014
    “…It also covers concurrent topics in data sciences including geometric processing, manifold learning, Google search, cloud data, and R-tree for wireless networks and BigData.The author investigates digital geometry and its related constructive methods in discrete geometry, offering detailed methods and algorithms. …”
    Enlace del recurso
    Digital and discrete geometry: theory and algorithms
  9. 2249
    por Shibuya, Kazuhiko
    Publicado 2020
    “…It articulates the nature of identity of human beings, based on cutting-edge knowledge in the field of AI and big-data sciences, and discusses identity by drawing on comprehensive investigations in digital social sciences and exploring wider disciplines related to philosophy, ethics, sociology, STS, computer sciences, engineering, and medical sciences. …”
    Enlace del recurso
    Enlace del recurso
    Digital transformation of identity in the age of artificial intelligence
  10. 2250
    “…These findings, by integrating and analyzing two databases, suggest that this analysis could be expanded to include other large databases that share the same Observational Health Data Sciences and Informatics protocol.…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Assessment of Inter-Institutional Post-Operative Hypoparathyroidism Status Using a Common Data Model
  11. 2251
    por Li, Jingyi Jessica, Tong, Xin
    Publicado 2020
    “…Making binary decisions is a common data analytical task in scientific research and industrial applications. In data sciences, there are two related but distinct strategies: hypothesis testing and binary classification. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Statistical Hypothesis Testing versus Machine Learning Binary Classification: Distinctions and Guidelines
  12. 2252
    “…In the context of artificial intelligence, deep learning, and data sciences, patents are relevant to not only industry but also academe and other communities. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Preliminary landscape analysis of deep tomographic imaging patents
  13. 2253
    “…The Observational Medical Outcomes Partnership Common Data Model (CDM), defined by the nonprofit organization Observational Health Data Sciences and Informatics, has been gaining attention for its use in the analysis of patient-level clinical data obtained from various medical institutions. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models
  14. 2254
    “…Moreover, it allows the participation in network studies of the observational health data sciences and informatics under the usage of federated analysis beyond the level of individual countries.…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Mapping the Oncological Basis Dataset to the Standardized Vocabularies of a Common Data Model: A Feasibility Study
  15. 2255
    “…We propose it as a tool to bridge the gap between behavioural biology and data sciences, thus connecting computational and behavioural scientists. rethomics comes with a extensive documentation as well as a set of both practical and theoretical tutorials (available at https://rethomics.github.io).…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Rethomics: An R framework to analyse high-throughput behavioural data
  16. 2256
    “…This review describes several outstanding problems in brain functional connectomics with the goal of engaging researchers from a broad spectrum of data sciences to help solve these problems. Additionally it provides information about open science resources consisting of raw and preprocessed data to help interested researchers get started.…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Connectomics and new approaches for analyzing human brain functional connectivity
  17. 2257
    “…The EMBL-ABR mission is to: (1) increase Australia’s capacity in bioinformatics and data sciences; (2) contribute to the development of training in bioinformatics skills; (3) showcase Australian data sets at an international level and (4) enable engagement in international programs. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Establishing a distributed national research infrastructure providing bioinformatics support to life science researchers in Australia
  18. 2258
    “…Clinical pharmacology is a multidisciplinary data sciences field that utilizes mathematical and statistical methods to generate maximal knowledge from data. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Pharmacometrics and Machine Learning Partner to Advance Clinical Data Analysis
  19. 2259
    “…APHRODITE makes these cutting-edge phenotyping approaches available for use with the Observational Health Data Sciences and Informatics (OHDSI) data model for standardized and scalable deployment. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network
  20. 2260
    “…In this commentary, we suggest ongoing research needs for health informatics, data sciences, and ethics to establish EHRs based on blockchain technology. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Blockchain Technology for Electronic Health Records
Herramientas de búsqueda: RSS