Datasets
- 1 - 25 out of 34 results
Search results
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A new method to validate thoracic CT-CT deformable image registration using auto-segmented 3D anatomical landmarks
Nielsen, M. S. (Creator), Østergaard, L. R. (Creator) & Carl, J. (Creator), Figshare, 20 Oct 2015
DOI: 10.6084/m9.figshare.1580051.v1, https://figshare.com/articles/A_new_method_to_validate_thoracic_CT_CT_deformable_image_registration_using_auto_segmented_3D_anatomical_landmarks/1580051/1
Dataset: Supplementary material
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Composite end point analyses of non-vitamin K antagonist oral anticoagulants compared with warfarin in patients with atrial fibrillation
Madzak, A. (Creator), Larsen, T. B. (Creator), Lane, D. A. (Creator), Lip, G. Y. H. (Creator) & Nielsen, P. B. (Creator), Figshare, 3 Oct 2015
DOI: 10.6084/m9.figshare.1568433.v1, https://figshare.com/articles/Composite_end_point_analyses_of_non_vitamin_K_antagonist_oral_anticoagulants_compared_with_warfarin_in_patients_with_atrial_fibrillation/1568433/1
Dataset: Supplementary material
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A new method to validate thoracic CT-CT deformable image registration using auto-segmented 3D anatomical landmarks
Nielsen, M. S. (Creator), Østergaard, L. R. (Creator) & Carl, J. (Creator), Figshare, 2015
DOI: 10.6084/m9.figshare.1580051, https://figshare.com/articles/A_new_method_to_validate_thoracic_CT_CT_deformable_image_registration_using_auto_segmented_3D_anatomical_landmarks/1580051
Dataset
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Composite end point analyses of non-vitamin K antagonist oral anticoagulants compared with warfarin in patients with atrial fibrillation
Madzak, A. (Creator), Larsen, T. B. (Creator), Lane, D. A. (Creator), Lip, G. Y. H. (Creator) & Nielsen, P. B. (Creator), Figshare, 2015
DOI: 10.6084/m9.figshare.1568433, https://figshare.com/articles/Composite_end_point_analyses_of_non_vitamin_K_antagonist_oral_anticoagulants_compared_with_warfarin_in_patients_with_atrial_fibrillation/1568433
Dataset
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Additional file 1: of Can positional MRI predict dynamic changes in the medial plantar arch? An exploratory pilot study
Johannsen, F. (Creator), Hansen, P. (Creator), Stallknecht, S. (Creator), Rathleff, M. S. (Creator), Hangaard, S. (Creator), Nybing, J. D. (Creator) & Boesen, M. (Creator), Figshare, 1 Sept 2016
DOI: 10.6084/m9.figshare.c.3613454_d1.v1, https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Can_positional_MRI_predict_dynamic_changes_in_the_medial_plantar_arch_An_exploratory_pilot_study/4370270/1 and one more link, https://figshare.com/articles/Additional_file_1_of_Can_positional_MRI_predict_dynamic_changes_in_the_medial_plantar_arch_An_exploratory_pilot_study/4370270 (show fewer)
Dataset: Supplementary material
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Additional file 1: of Health effectiveness and cost-effectiveness of telehealthcare for heart failure: study protocol for a randomized controlled trial
Cichosz, S. L. (Creator), Ehlers, L. H. (Creator) & Hejlesen, O. (Creator), Figshare, 2016
DOI: 10.6084/m9.figshare.c.3617141_d2.v1, https://doi.org/10.6084%2Fm9.figshare.c.3617141_d2.v1
Dataset
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Health effectiveness and cost-effectiveness of telehealthcare for heart failure: study protocol for a randomized controlled trial
Cichosz, S. L. (Creator), Ehlers, L. H. (Creator) & Hejlesen, O. (Creator), Figshare, 2016
DOI: 10.6084/m9.figshare.c.3617141, https://figshare.com/collections/Health_effectiveness_and_cost-effectiveness_of_telehealthcare_for_heart_failure_study_protocol_for_a_randomized_controlled_trial/3617141
Dataset
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Health effectiveness and cost-effectiveness of telehealthcare for heart failure: study protocol for a randomized controlled trial
Cichosz, S. L. (Creator), Ehlers, L. H. (Creator) & Hejlesen, O. (Creator), Figshare, 2016
DOI: 10.6084/m9.figshare.c.3617141.v1, https://figshare.com/collections/Health_effectiveness_and_cost-effectiveness_of_telehealthcare_for_heart_failure_study_protocol_for_a_randomized_controlled_trial/3617141/1
Dataset
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Can positional MRI predict dynamic changes in the medial plantar arch? An exploratory pilot study
Johannsen, F. (Creator), Hansen, P. (Creator), Stallknecht, S. (Creator), Rathleff, M. S. (Creator), Hangaard, S. (Creator), Nybing, J. D. (Creator) & Boesen, M. (Creator), Figshare, 2016
DOI: 10.6084/m9.figshare.c.3613454, https://figshare.com/collections/Can_positional_MRI_predict_dynamic_changes_in_the_medial_plantar_arch_An_exploratory_pilot_study/3613454
Dataset
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Additional file 2: of Health effectiveness and cost-effectiveness of telehealthcare for heart failure: study protocol for a randomized controlled trial
Cichosz, S. L. (Creator), Ehlers, L. H. (Creator) & Hejlesen, O. (Creator), Figshare, 2016
DOI: 10.6084/m9.figshare.c.3617141_d1.v1, https://doi.org/10.6084%2Fm9.figshare.c.3617141_d1.v1
Dataset
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Premature atrial complexes in an ischemic stroke population and risk of recurrent stroke: a systematic review
Sejr, M. H. (Creator), Nielsen, P. B. (Creator), Larsen, T. B. (Creator), Nielsen, J. C. (Creator) & Riahi, S. (Creator), Taylor & Francis, 1 Jan 2017
DOI: 10.6084/m9.figshare.5074192.v1, https://doi.org/10.6084%2Fm9.figshare.5074192.v1
Dataset
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Associations between socioeconomic status, atrial fibrillation, and outcomes: a systematic review
Lunde, E. D. (Creator), Nielsen, P. B. (Creator), Riahi, S. (Creator), Larsen, T. B. (Creator), Lip, G. Y. H. (Creator), Fonager, K. (Creator), Larsen, M. L. (Creator) & Joensen, A. M. (Creator), Taylor & Francis, 2018
DOI: 10.6084/m9.figshare.7211138.v1, https://doi.org/10.6084%2Fm9.figshare.7211138.v1
Dataset
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Supplement – Supplemental material for Precise Prediction of Total Body Lean and Fat Mass From Anthropometric and Demographic Data: Development and Validation of Neural Network Models
Cichosz, S. L. (Creator), Rasmussen, N. H. (Creator), Vestergaard, P. (Creator) & Hejlesen, O. (Creator), Sage Journals, 2020
DOI: 10.25384/sage.13246893.v1, https://doi.org/10.25384%2Fsage.13246893.v1
Dataset: Supplementary material
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Precise Prediction of Total Body Lean and Fat Mass From Anthropometric and Demographic Data: Development and Validation of Neural Network Models
Cichosz, S. L. (Creator), Rasmussen, N. H. (Creator), Vestergaard, P. (Creator) & Hejlesen, O. (Creator), Sage Journals, 2020
DOI: 10.25384/sage.c.5209971, https://sage.figshare.com/collections/Precise_Prediction_of_Total_Body_Lean_and_Fat_Mass_From_Anthropometric_and_Demographic_Data_Development_and_Validation_of_Neural_Network_Models/5209971
Dataset
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Synthetic Continuous Glucose Monitoring (CGM) Signals
Cichosz, S. L. (Creator) & Xylander, A. A. P. (Creator), Mendeley Data, Apr 2021
DOI: 10.17632/chd8hx65r4.1, http://dx.doi.org/10.17632/chd8hx65r4.1
Dataset
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Reablement professionals’ perspectives on client characteristics and factors associated with successful home-based reablement: a qualitative study
Stausholm, M. N. (Creator), Pape-Haugaard, L. (Creator), Hejlesen, O. (Creator) & Secher, P. H. (Creator), Figshare, 2021
DOI: 10.6084/m9.figshare.c.5500229, https://springernature.figshare.com/collections/Reablement_professionals_perspectives_on_client_characteristics_and_factors_associated_with_successful_home-based_reablement_a_qualitative_study/5500229
Dataset
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Additional file 1 of Reablement professionals’ perspectives on client characteristics and factors associated with successful home-based reablement: a qualitative study
Stausholm, M. N. (Creator), Pape-Haugaard, L. (Creator), Hejlesen, O. K. (Creator) & Secher, P. H. (Creator), Figshare, 2021
DOI: 10.6084/m9.figshare.14920925.v1, https://doi.org/10.6084%2Fm9.figshare.14920925.v1
Dataset
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Classification of Gastroparesis from Glycemic Variability in Type 1 Diabetes: A Proof-of-Concept Study
Cichosz, S. L. (Creator) & Hejlesen, O. (Creator), Sage Journals, 2021
DOI: 10.25384/sage.c.5425946, https://sage.figshare.com/collections/Classification_of_Gastroparesis_from_Glycemic_Variability_in_Type_1_Diabetes_A_Proof-of-Concept_Study/5425946
Dataset
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The Effectiveness of Telemedicine Solutions for the Management of Type 2 Diabetes: A Systematic Review, Meta-Analysis, and Meta-Regression
Hangaard, S. (Creator), Laursen, S. H. (Creator), Andersen, J. D. (Creator), Larsen, T. K. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Witt Udsen, F. (Creator), Sage Journals, 2021
DOI: 10.25384/sage.c.5768593, https://sage.figshare.com/collections/The_Effectiveness_of_Telemedicine_Solutions_for_the_Management_of_Type_2_Diabetes_A_Systematic_Review_Meta-Analysis_and_Meta-Regression/5768593
Dataset
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sj-docx-1-dst-10.1177_19322968211064633 – Supplemental material for The Effectiveness of Telemedicine Solutions for the Management of Type 2 Diabetes: A Systematic Review, Meta-Analysis, and Meta-Regression
Hangaard, S. (Creator), Laursen, S. H. (Creator), Andersen, J. D. (Creator), Larsen, T. K. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Witt Udsen, F. (Creator), Sage Journals, 2021
DOI: 10.25384/sage.17697700.v1, https://sage.figshare.com/articles/journal_contribution/sj-docx-1-dst-10_1177_19322968211064633_Supplemental_material_for_The_Effectiveness_of_Telemedicine_Solutions_for_the_Management_of_Type_2_Diabetes_A_Systematic_Review_Meta-Analysis_and_Meta-Regression/17697700/1
Dataset: Supplementary material
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Additional file 2 of Reablement professionals’ perspectives on client characteristics and factors associated with successful home-based reablement: a qualitative study
Stausholm, M. N. (Creator), Pape-Haugaard, L. (Creator), Hejlesen, O. K. (Creator) & Secher, P. H. (Creator), Figshare, 2021
DOI: 10.6084/m9.figshare.14920928.v1, https://doi.org/10.6084%2Fm9.figshare.14920928.v1
Dataset
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sj-pdf-1-dst-10.1177_19322968211015206 – Supplemental material for Classification of Gastroparesis from Glycemic Variability in Type 1 Diabetes: A Proof-of-Concept Study
Cichosz, S. L. (Creator) & Hejlesen, O. (Creator), Sage Journals, 2021
DOI: 10.25384/sage.14602838.v1, https://doi.org/10.25384%2Fsage.14602838.v1
Dataset: Supplementary material
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The Effectiveness of Telemedicine Solutions for the Management of Type 2 Diabetes: A Systematic Review, Meta-Analysis, and Meta-Regression
Hangaard, S. (Creator), Laursen, S. H. (Creator), Andersen, J. D. (Creator), Larsen, T. K. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Witt Udsen, F. (Creator), Sage Journals, 2021
DOI: 10.25384/sage.c.5768593.v1, https://sage.figshare.com/collections/The_Effectiveness_of_Telemedicine_Solutions_for_the_Management_of_Type_2_Diabetes_A_Systematic_Review_Meta-Analysis_and_Meta-Regression/5768593/1
Dataset
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Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Thomsen, C. H. N. (Creator), Hangaard, S. (Creator), Larsen, T. K. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Jensen, M. H. (Creator), Sage Journals, 2022
DOI: 10.25384/sage.c.6359383.v1, https://sage.figshare.com/collections/Time_for_Using_Machine_Learning_for_Dose_Guidance_in_Titration_of_People_With_Type_2_Diabetes_A_Systematic_Review_of_Basal_Insulin_Dose_Guidance/6359383/1
Dataset
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sj-xlsx-2-dst-10.1177_19322968221145964 – Supplemental material for Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Thomsen, C. H. N. (Creator), Hangaard, S. (Creator), Larsen, T. K. (Creator), Vestergaard, P. (Creator), Hejlesen, O. (Creator) & Jensen, M. H. (Creator), Sage Journals, 2022
DOI: 10.25384/sage.21778396, https://sage.figshare.com/articles/dataset/sj-xlsx-2-dst-10_1177_19322968221145964_Supplemental_material_for_Time_for_Using_Machine_Learning_for_Dose_Guidance_in_Titration_of_People_With_Type_2_Diabetes_A_Systematic_Review_of_Basal_Insulin_Dose_Guidance/21778396
Dataset: Supplementary material