Zobrazeno 1 - 10
of 216
pro vyhledávání: '"Regression analysi"'
Publikováno v:
Zhongguo quanke yixue, Vol 25, Iss 05, Pp 608-614 (2022)
BackgroundThe human health damage caused by laryngeal cancer has attracted worldwide attention. But there is a lack of research on the incidence and mortality trend of laryngeal cancer among Chinese residents from 2005 to 2016.ObjectiveTo describe la
Externí odkaz:
https://doaj.org/article/6596cc2b418344629e3ff8a5e6f4421c
Akademický článek
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Over the next 30 years, temperatures are expected to increase in hot semi-arid zones. Despite increasing studies on urban heat, cooling measures suitable for this climate zone remain poorly investigated. The proposed method is innovative because it f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de0f6a20d72e52ec1a9421df0b0412a6
https://hdl.handle.net/10281/400172
https://hdl.handle.net/10281/400172
Autor:
Simone Cerbasi, Alessio Bernasconi, Giovanni Balato, Federica Dimitri, Oriana Zingaretti, Gianclaudio Orabona, Raffaele Pascarella, Massimo Mariconda
Publikováno v:
The bonejoint journal. (2)
Aims The aims of this study were to assess the pre- and postoperative incidence of deep vein thrombosis (DVT) using routine duplex Doppler ultrasound (DUS), to assess the incidence of pulmonary embolism (PE) using CT angiography, and to identify the
Tropical modes of variability, such as El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD), exert a strong influence on the interannual variability of Australian precipitation. Nevertheless, commonly used indices of ENSO and IOD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7890f9e5aa4b4f38577ad07243d507d9
https://doi.org/10.5194/egusphere-egu22-10456
https://doi.org/10.5194/egusphere-egu22-10456
Autor:
Allotey, J., Whittle, R., Snell, K. I. E., Smuk, M., Townsend, R., von Dadelszen, P., Heazell, A. E. P., Magee, L., Smith, G. C. S., Sandall, J., Thilaganathan, B., Zamora, J., Riley, R. D., Khalil, A., Thangaratinam, S., Coomarasamy, A., Kwong, A., Savitri, A. I., Salvesen, K. A., Bhattacharya, S., Uiterwaal, C. S. P. M., Staff, A. C., Andersen, L. B., Olive, E. L., Redman, C., Sletner, L., Daskalakis, G., Macleod, M., Abdollahain, M., Ramirez, J. A., Masse, J., Audibert, F., Magnus, P. M., Jenum, A. K., Baschat, A., Ohkuchi, A., Mcauliffe, F. M., West, J., Askie, L. M., Mone, F., Farrar, D., Zimmerman, P. A., Smits, L. J. M., Riddell, C., Kingdom, J. C., van de Post, J., Illanes, S. E., Holzman, C., van Kuijk, S. M. J., Carbillon, L., Villa, P. M., Eskild, A., Chappell, L., Prefumo, F., Velauthar, L., Seed, P., van Oostwaard, M., Verlohren, S., Poston, L., Ferrazzi, E., Vinter, C. A., Nagata, C., Brown, M., Vollebregt, K. C., Takeda, S., Langenveld, J., Widmer, M., Saito, S., Haavaldsen, C., Carroli, G., Olsen, J., Wolf, H., Zavaleta, N., Eisensee, I., Vergani, P., Lumbiganon, P., Makrides, M., Facchinetti, F., Sequeira, E., Gibson, R., Ferrazzani, S., Frusca, T., Norman, J. E., Figueiro, E. A., Lapaire, O., Laivuori, H., Lykke, J. A., Conde-Agudelo, A., Galindo, A., Mbah, A., Betran, A. P., Herraiz, I., Trogstad, L., Smith, G. G. S., Steegers, E. A. P., Salim, R., Huang, T., Adank, A., Zhang, J., Meschino, W. S., Browne, J. L., Allen, R. E., Costa, F. D. S., Klipstein-Grobusch Browne, K., Crowther, C. A., Jorgensen, J. S., Forest, J. -C., Rumbold, A. R., Mol, B. W., Giguere, Y., Kenny, L. C., Ganzevoort, W., Odibo, A. O., Myers, J., Yeo, S. A., Goffinet, F., Mccowan, L., Pajkrt, E., Teede, H. J., Haddad, B. G., Dekker, G., Kleinrouweler, E. C., Lecarpentier, E., Roberts, C. T., Groen, H., Skrastad, R. B., Heinonen, S., Eero, K., Anggraini, D., Souka, A., Cecatti, J. G., Monterio, I., Pillalis, A., Souza, R., Hawkins, L. A., Gabbay-Benziv, R., Crovetto, F., Figuera, F., Jorgensen, L., Dodds, J., Patel, M., Aviram, A., Papageorghiou, A., Khan, K.
Publikováno v:
IPPIC Collaborative Network & Mone, F 2021, ' External validation of prognostic models to predict stillbirth using the International Prediction of Pregnancy Complications (IPPIC) Network database: an individual participant data meta-analysis ', Ultrasound in Obstetrics and Gynecology . https://doi.org/10.1002/uog.23757
Ultrasound in obstetrics & gynecology, 59(2), 209-219. John Wiley and Sons Ltd
the IPPIC Collaborative Network 2022, ' External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database : individual participant data meta-analysis ', Ultrasound in Obstetrics and Gynecology, vol. 59, no. 2, pp. 209-219 . https://doi.org/10.1002/uog.23757
Ultrasound in Obstetrics and Gynecology, 59(2), 209-219. John Wiley and Sons Ltd
IPPIC Collaborative Network 2021, ' External validation of prognostic models to predict stillbirth using the International Prediction of Pregnancy Complications (IPPIC) Network database : an individual participant data meta-analysis ', Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology . https://doi.org/10.1002/uog.23757
2022, ' External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database : individual participant data meta-analysis ', Ultrasound in Obstetrics and Gynecology, vol. 59, no. 2, pp. 209-219 . https://doi.org/10.1002/uog.23757
Ultrasound in obstetrics & gynecology, 59(2), 209-219. John Wiley and Sons Ltd
the IPPIC Collaborative Network 2022, ' External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database : individual participant data meta-analysis ', Ultrasound in Obstetrics and Gynecology, vol. 59, no. 2, pp. 209-219 . https://doi.org/10.1002/uog.23757
Ultrasound in Obstetrics and Gynecology, 59(2), 209-219. John Wiley and Sons Ltd
IPPIC Collaborative Network 2021, ' External validation of prognostic models to predict stillbirth using the International Prediction of Pregnancy Complications (IPPIC) Network database : an individual participant data meta-analysis ', Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology . https://doi.org/10.1002/uog.23757
2022, ' External validation of prognostic models to predict stillbirth using International Prediction of Pregnancy Complications (IPPIC) Network database : individual participant data meta-analysis ', Ultrasound in Obstetrics and Gynecology, vol. 59, no. 2, pp. 209-219 . https://doi.org/10.1002/uog.23757
Objective Stillbirth is a potentially preventable complication of pregnancy. Identifying women at high risk of stillbirth can guide decisions on the need for closer surveillance and timing of delivery in order to prevent fetal death. Prognostic model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7afa3ce05a1ae96f7fce48ed60d2e6e3
https://hdl.handle.net/11380/1279718
https://hdl.handle.net/11380/1279718
Publikováno v:
PeerJ Computer Science, Vol 7, p e623 (2021)
Peerj computer science, 7:e623. PEERJ INC
PeerJ Computer Science
Peerj computer science, 7:e623. PEERJ INC
PeerJ Computer Science
Regression analysis makes up a large part of supervised machine learning, and consists of the prediction of a continuous independent target from a set of other predictor variables. The difference between binary classification and regression is in the
Autor:
Massimiliano Corradi, Francesca Olivieri, Claudio Maffeis, Giovanni Targher, Marco Dauriz, Christopher D. Byrne, Chiara Zusi, Alessandro Mantovani, Anita Morandi, Luca Valenti, Emanuele Miraglia del Giudice
Publikováno v:
Digestive and Liver Disease. 51:1586-1592
BackgroundNonalcoholic fatty liver disease (NAFLD) is the commonest liver disease in children and adolescents in Western countries. Complex traits arise from the interplay between environmental and genetic factors in the pathogenesis of NAFLD.AimsWe
Publikováno v:
Journal of Academic Social Science Studies, Vol 11, Iss 73, Pp 337-349 (2019)
Entrereneurship have a vital importance due to its a dynamics force for progress of economy especially seeing opportunities by environment, using these opportunities, due to provide employment that in the they create business, entrepreneurs provide p
Autor:
Maria Teresa Gorgitano, Valeria Sodano
Publikováno v:
Journal of Product & Brand Management. 28:364-375
PurposeThis paper aims to describe and understand the offer of premium private labels (PPLs) in Italy, with a case study on the extra virgin olive oil (EVOO).Design/methodology/approachThe empirical study on EVOO in Italy was aimed to investigate the