German Medical Data Sciences 2021 : digital medicine: Recognize --
German Medical Data Sciences 2021 : digital medicine: Recognize --
edited by Rainer Röhrig [and more.
- 1 online resource (xix, 220 pages) : illustrations (some color)
- Studies in health technology and informatics, volume 283 .
German Medical Data Sciences in Studies in health technology and informatics: reflections on the fifth volume -- One conference, three proceedings: which papers should i submit and how? A publication strategy for young scientists regarding the GMDS Annual Conference and beyond (editorial) -- Artificial intelligence and clinical decision support systems (CDSS). Multi-disease detection in retinal imaging based on ensembling heterogeneous deep learning models -- Towards interpretable machine learning in EEG analysis -- Application of pre-trained deep learning models for clinical ECGs -- Automated creation of expert systems with the InteKRator Toolbox -- Data integration and interoperability. Management of metadata types in basic cardiological research -- Calculating key figures for radiology departments using a clinical data warehouse: a technical case report -- Development of a dashboard for rare diseases: a technical case report -- Towards the representation of genomic data in HL7 FHIR and OMOP CDM -- The usage of OHDSI OMOP: a scoping review -- ADT2FHIR: a tool for converting ADT/GEKID oncology data to HL7 FHIR resources -- Data sharing in distributed architectures: concept and implementation in HiGHmed -- Hands on the Medical Informatics Initiative Core Data Set: lessons learned from converting the MIMIC-IV -- Providing ART-DECOR valuesets via FHIR terminology servers: a technical report -- Human computer interaction. reaction time-based cognitive assessments in virtual reality: a feasibility study with an age diverse sample -- An Apple Watch dashboard for HiGHmed heart insufficency patients -- Design of an interactive web application for teaching uncertainty interpretations of clinical tests -- Software Systems and Frameworks. openMNGlab: data analysis framework for microneurography: a technical report -- The security state of the German health web: an exploratory study -- Relevant aspects for sustainable open source pandemic apps and platform deployment with focus on community building -- Patient portals: objectives, acceptance, and effects on health outcome: a scoping review of reviews -- Comparison of instruments for measuring health-related quality of life and their applicability to eHealth applications -- Predicting the effect of variants of unknown significance in molecular tumor boards with the VUS-predict pipeline.
"Digitization offers great potential - especially in medicine. Cross-domain and cross-institutional linkage, big data, artificial intelligence and robotics can all help to improve research and care, but they also pose new challenges to all those involved. This book presents the joint proceedings of the GMDS (German Medical Data Sciences) and TMF (its Technology, Methodology and Infrastructure platform), held entirely online from 26 - 30 September 2021 as a result of restrictions due to the Coronavirus pandemic. This joint event addresses the opportunities and risks of using new information technologies in medicine, as well as the resulting requirements for data protection, data security and ethics. Methodological challenges associated with the preparation, evaluation and interpretation of data volumes which constantly increase in type and scope in the course of digitization are also examined in detail"--Publisher's description.
9781643682075
Medical informatics--Congresses.
Medical Informatics Applications.
Medical Infomatics.
Electronic Books.
R858 / .G476 2021
German Medical Data Sciences in Studies in health technology and informatics: reflections on the fifth volume -- One conference, three proceedings: which papers should i submit and how? A publication strategy for young scientists regarding the GMDS Annual Conference and beyond (editorial) -- Artificial intelligence and clinical decision support systems (CDSS). Multi-disease detection in retinal imaging based on ensembling heterogeneous deep learning models -- Towards interpretable machine learning in EEG analysis -- Application of pre-trained deep learning models for clinical ECGs -- Automated creation of expert systems with the InteKRator Toolbox -- Data integration and interoperability. Management of metadata types in basic cardiological research -- Calculating key figures for radiology departments using a clinical data warehouse: a technical case report -- Development of a dashboard for rare diseases: a technical case report -- Towards the representation of genomic data in HL7 FHIR and OMOP CDM -- The usage of OHDSI OMOP: a scoping review -- ADT2FHIR: a tool for converting ADT/GEKID oncology data to HL7 FHIR resources -- Data sharing in distributed architectures: concept and implementation in HiGHmed -- Hands on the Medical Informatics Initiative Core Data Set: lessons learned from converting the MIMIC-IV -- Providing ART-DECOR valuesets via FHIR terminology servers: a technical report -- Human computer interaction. reaction time-based cognitive assessments in virtual reality: a feasibility study with an age diverse sample -- An Apple Watch dashboard for HiGHmed heart insufficency patients -- Design of an interactive web application for teaching uncertainty interpretations of clinical tests -- Software Systems and Frameworks. openMNGlab: data analysis framework for microneurography: a technical report -- The security state of the German health web: an exploratory study -- Relevant aspects for sustainable open source pandemic apps and platform deployment with focus on community building -- Patient portals: objectives, acceptance, and effects on health outcome: a scoping review of reviews -- Comparison of instruments for measuring health-related quality of life and their applicability to eHealth applications -- Predicting the effect of variants of unknown significance in molecular tumor boards with the VUS-predict pipeline.
"Digitization offers great potential - especially in medicine. Cross-domain and cross-institutional linkage, big data, artificial intelligence and robotics can all help to improve research and care, but they also pose new challenges to all those involved. This book presents the joint proceedings of the GMDS (German Medical Data Sciences) and TMF (its Technology, Methodology and Infrastructure platform), held entirely online from 26 - 30 September 2021 as a result of restrictions due to the Coronavirus pandemic. This joint event addresses the opportunities and risks of using new information technologies in medicine, as well as the resulting requirements for data protection, data security and ethics. Methodological challenges associated with the preparation, evaluation and interpretation of data volumes which constantly increase in type and scope in the course of digitization are also examined in detail"--Publisher's description.
9781643682075
Medical informatics--Congresses.
Medical Informatics Applications.
Medical Infomatics.
Electronic Books.
R858 / .G476 2021