Detalhe da pesquisa
1.
Predilection sites of pyoderma gangrenosum: Retrospective study of 170 clearly diagnosed patients.
Int Wound J
; 20(10): 4227-4234, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-37528508
2.
Predicting the amputation risk for patients with diabetic foot ulceration - a Bayesian decision support tool.
BMC Med Inform Decis Mak
; 20(1): 200, 2020 08 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-32838777
3.
Innovative Power of Health Care Organisations Affects IT Adoption: A bi-National Health IT Benchmark Comparing Austria and Germany.
J Med Syst
; 41(2): 33, 2017 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-28054195
4.
Differential effects of electronic patient record systems for wound care on hospital-acquired pressure injuries: Findings from a secondary analysis of German hospital data.
Int J Med Inform
; 185: 105394, 2024 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-38460463
5.
Lessons Learned from an Interprofessional European Summer School in Health Informatics.
Stud Health Technol Inform
; 310: 1171-1175, 2024 Jan 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-38269999
6.
Health Information Exchange: Understanding the Policy Landscape and Future of Data Interoperability.
Yearb Med Inform
; 32(1): 184-194, 2023 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-37414031
7.
Design and Implementation of an ETL-Process to Transfer Wound-Related Data into a Standardized Common Data Model.
Stud Health Technol Inform
; 307: 258-266, 2023 Sep 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-37697861
8.
Can Synthetic Images Improve CNN Performance in Wound Image Classification?
Stud Health Technol Inform
; 302: 927-931, 2023 May 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-37203538
9.
Towards a Didactic Concept for Heterogeneous Target Groups in Digital Learning Environments-First Course Implementation.
J Pers Med
; 12(5)2022 Apr 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-35629119
10.
Development and Evaluation of a Bayesian Risk Stratification Method for Major Amputations in Patients with Diabetic Foot Ulcers.
Stud Health Technol Inform
; 289: 212-215, 2022 Jan 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-35062130
11.
Automatic Classification of Diabetic Foot Ulcer Images - A Transfer-Learning Approach to Detect Wound Maceration.
Stud Health Technol Inform
; 289: 301-304, 2022 Jan 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-35062152
12.
Automatic Wound Type Classification with Convolutional Neural Networks.
Stud Health Technol Inform
; 295: 281-284, 2022 Jun 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-35773863
13.
An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers.
Stud Health Technol Inform
; 294: 63-67, 2022 May 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-35612017
14.
The eHealth4all@eu Pipeline of Course Development: TIGER Recommendations in Action.
Stud Health Technol Inform
; 290: 1126-1127, 2022 Jun 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-35673238
15.
Bass Models for EHR, RIS and PACS Diffusion in Finland and Germany.
Stud Health Technol Inform
; 281: 595-599, 2021 May 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-34042645
16.
Development of a Didactic Online Course Concept for Heterogeneous Audience Groups in the Context of Healthcare IT.
Stud Health Technol Inform
; 285: 219-224, 2021 Oct 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-34734877
17.
Expressiveness of an International Semantic Standard for Wound Care: Mapping a Standardized Item Set for Leg Ulcers to the Systematized Nomenclature of Medicine-Clinical Terms.
JMIR Med Inform
; 9(10): e31980, 2021 Oct 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-34428171
18.
Evaluation of a Clinical Decision Support System in the Domain of Chronic Wound Management.
Stud Health Technol Inform
; 281: 535-539, 2021 May 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-34042633
19.
Implementation and Analysis of Two Knowledge Base Approaches for the Treatment of Chronic Wounds.
Stud Health Technol Inform
; 270: 607-612, 2020 Jun 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-32570455
20.
Diffusion Dynamics of Radiology IT - Systems in German Hospitals - A Bayesian Bass Model.
Stud Health Technol Inform
; 267: 11-19, 2019 Sep 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-31483249