Suitability of machine learning models for prediction of clinically defined Stage III/IV periodontitis from questionnaires and demographic data in Danish cohorts.

Autor: Enevold C; Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital, Copenhagen, Denmark., Nielsen CH; Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Copenhagen University Hospital, Copenhagen, Denmark.; Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark., Christensen LB; Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark., Kongstad J; Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark., Fiehn NE; Costerton Biofilm Centre, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark., Hansen PR; Department of Cardiology, Herlev-Gentofte Hospital, Hellerup, Denmark.; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark., Holmstrup P; Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark., Havemose-Poulsen A; Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark., Damgaard C; Research Area Periodontology, Section for Oral Biology and Immunopathology, Department of Odontology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.

Publikováno v: Journal of clinical periodontology [J Clin Periodontol] 2023 Sep 10. Date of Electronic Publication: 2023 Sep 10.

Experimental Design of Multifactor Climate Change Experiments with Elevated CO₂, Warming and Drought: The CLIMAITE Project

Autor: Mikkelsen, T. N., Beier, C., Jonasson, S., Holmstrup, M., Schmidt, I. K., Ambus, P., Pilegaard, K., Michelsen, A., Albert, K., Andresen, L. C., Arndal, M. F., Bruun, N., Christensen, S., Danbæk, S., Gundersen, P., Jørgensen, P., Linden, L. G., Kongstad, J., Maraldo, K., Priemé, A., Riis-Nielsen, T., Ro-Poulsen, H., Stevnbak, K., Selsted, M. B., Sørensen, P., Larsen, K. S., Carter, M. S., Ibrom, A., Martinussen, T., Miglietta, F., Sverdrup, H.

Publikováno v: Functional Ecology, 2008 Feb 01. 22(1), 185-195.

Externí odkaz: https://www.jstor.org/stable/20142788

Klimaændringer og processer og funktion i terrestriske økosystemer

Autor: Schmidt, I. K., Claus Beier, Kongstad, J., Andresen, L., Michelsen, A., Kristian Rost Albert, Per Ambus, Selsted, M., Maraldo, K., Holmstrup, M., Arndal, M., Teis Nørgaard Mikkelsen, Ro-Poulsen, H., Jonassen, S., Karsten, R. J.

Publikováno v: Schmidt, I K, Beier, C, Kongstad, J, Andresen, L, Michelsen, A, Albert, K R, Ambus, P, Selsted, M, Maraldo, K, Holmstrup, M, Arndal, M, Mikkelsen, T N, Ro-Poulsen, H, Jonassen, S & Karsten, R J 2007, ' Klimaændringer og processer og funktion i terrestriske økosystemer ', Flora og Fauna, bind 113, s. 117-128 .
Technical University of Denmark Orbit

Klimaændringerne vil ændre basale faktorer i terrestriske økosystemer som vandforhold og temperatur. Disse faktorer har direkte og indirekte indflydelse på alle processer i økosystemet. Klimaændringer vil derfor påvirke levevilkårene for plan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::26b1f979cc795fa401a2b07892761ceb
https://orbit.dtu.dk/en/publications/bc1b37b2-5975-49bc-9726-ff8087efc399

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