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Allgemeinbegriff

Medizinische Informatik

Angewandte Informatik, Medizin

Sachbegriff	Medizinische Informatik
Definition	Wissenschaft von der Informationsverarbeitung und der Gestaltung informationsverarbeitender Systeme in Medizin und Gesundheitswesen
Synonym	Medizininformatik
Oberbegriff	Angewandte Informatik Medizin
Beziehung	Medizinische Dokumentation (verwandter Begriff)
Themengebiet	Medizin (Allgemeines) Informatik, Datenverarbeitung
Quelle	Lex. Informatik
Datensatztyp	Allgemeinbegriff
GND-Nummer	4038261-8
Datensatz-ID	040382613
Thema in alle anzeigen Augmented-Reality Based Assistive Systems for Critical Medical Procedures Development and Assessment of Methodologies for Integrated Model-Based Oncological Decision Support How can digital health interventions support informal family caregivers of people with first-episode psychosis? [A systematic review of the evidence] Mobile Health Diagnostics: Explainable Machine Learning and Data Privacy Predicting fall risks with machine learning and medication data Supporting Healthcare Applications with Affective Computing and Applied Gaming Applying co-creation to develop behaviour change interventions: Analysing the design, build and evaluation of digital health interventions Assistive Systems in Care: Combining Sensor Technology and Socially Interactive Agents for Health Monitoring Bildverarbeitung für die Medizin 2025 : proceedings, German Conference on Medical Image Computing, Regensburg March 09-11, 2025 Bildverarbeitung für die Medizin 2025 : Proceedings, German Conference on Medical Image Computing, Regensburg March 09-11, 2025 Brief Mindfulness-Based Intervention as a Means of Tackling Chronic and Recurrent Depression Characterizing annotations for visual analytics on clinical data Clinical Validity and Utility of Network Analysis in Clinical Practice Deep Learning and Traditional Machine Learning for Medical Diagnostics Deep Learning based Medical Image Analysis using Small Datasets Deutsche Übersetzung und Validierung des mHealth App Usability Questionnaire - ein Fragebogen zur Messung der Usability eigenständiger medizinischer Apps für Patientinnen und Patienten Developing guidance on necessary & avoidable care transitions in senior citizens Development and Evaluation of Immersive User Interfaces for Cognitive and Physical Training Differential affection of the visual information sub-streams in a patient with visual agnosia Digital Health in Pregnancy Care: Potential and Application of Mobile Health in Research and Medical Practice Digital Influences on Health Behavior: Internet Use, Information Retrieval, and Potential Addictive Behaviors Among Patients with Chronic Skin Diseases – A Mixed-Method Study Digital tools in dermatology: acceptance and unmet needs in the digital transformation of healthcare Disease stories: visual and narrative strategies for scientific disease communication Effect of Patient-related Variables on the Alarm Rate of Intensive Care Units’ Monitoring Devices and Prediction of the Alarm Rate Using Machine Learning Models Effective connectivity of task-evoked and resting-state brain networks: Relationships to aging and behavior Embedded AI for Real-time Health State Assessment and Treatment Recommendation in Rescue Operations Empowering Medical Laboratories with Automated AI and Big Data Approaches to Genomics-Based Diagnostics Engagement in Digital Health through Spatial Computing: Applications in Virtual Reality and Intelligent Virtual Agents Enhanced automatic feature extraction in heterogeneous biomedical time series for optimization of clinical monitoring and diagnosis Evaluation of Contradictions as a Data Quality Measure for Real-world and Clinical Research Data Explainable Artificial Intelligence for Detection of Structural Changes in Myocardium FHIRing up clinical trials : a framework for interoperability-based data analysis Föderierte Forschungsinfrastrukturen für ein lernendes Gesundheitssystem in der Akut-, Intensiv- und Notfallmedizin Healthcare in Virtual Worlds: Exploring Patient Interaction and Medical Training in the Metaverse Improving internal and external validity in vignette-based digital health research: a test-theoretical and representative design approach Improving Interoperability and Generalizability through Technology in Parkinson’s Disease Imputation and forecasting in medical multivariate time series using probabilistic generative machine learning Integration of hybrid knowledge graph models for real-time decision support in emergency medical care Integrative Strategies to Combat Alarm Fatigue in Intensive Care: A Dual-Study Approach Examining Staff Perspectives and Interdisciplinary Collaboration Knowledge-based data-driven segmentation and feature extraction for cardiovascular disease characterization with multi-modal clinical data Leveraging real-world biomarker data: Statistical methods for investigating missingness and longitudinal information for patient risk assessment Leveraging sensors and machine learning to support health: Enhancing sitting posture classification and developing an affective computing approach for healthy eating behaviours Machine Learning Applications in Digital Mental Health Interventions Machine Learning Dropout Predictions for Personalizing Digital Mental Health Interventions Mental Health Implications of the COVID-19 Pandemic: Impact on High-Risk Groups and Efficacy of a Psychological Intervention Mind and machine in medicine : reliance and trust in collaborative human-AI decision-making Patient Involvement in Medical Decision-Making Patient-Generated Health Data in Primary Care for the Treatment of Depression Quantitative Image Analysis for Enhanced Diagnostics in Patient Care Employing Radiomics and Deep Learning Techniques Strategies for Generalisable Machine Learning with Small Data for Exercise Fatigue Detection : Strategien für generalisierbares maschinelles Lernen mit kleinen Daten zur Erkennung von Erschöpfung bei körperlicher Betätigung Supporting Healthy Eating by Theory-driven Feedback Design for Mobile Nutrition Applications Technological interventions to alleviate alarm fatigue in intensive care medicine : an IT systems approach The impact of artificial intelligence applications on users' behaviour in the medical sector The Potential of Virtual and Mixed Reality for Training Medical First Responders Towards a mechanistic understanding of sensorimotor control and symptom perception in persistent physical symptoms : a Bayesian brain perspective Towards Reproducible, Stable, and Robust Machine Learning Research in Clinical Environments Towards Vibration-based Structural Health Monitoring using Mobile Android Devices Uncertainty quantification of binary hybrid models in life sciences University students' mental health and help-seeking in the context of the COVID-19 pandemic Use of healthcare standards to support integration and exchange of infection-related data in Germany and in Europe

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Katalog der Deutschen Nationalbibliothek

Medizinische Informatik

Augmented-Reality Based Assistive Systems for Critical Medical Procedures

Development and Assessment of Methodologies for Integrated Model-Based Oncological Decision Support

How can digital health interventions support informal family caregivers of people with first-episode psychosis? [A systematic review of the evidence]

Mobile Health Diagnostics: Explainable Machine Learning and Data Privacy

Predicting fall risks with machine learning and medication data

Supporting Healthcare Applications with Affective Computing and Applied Gaming

Applying co-creation to develop behaviour change interventions: Analysing the design, build and evaluation of digital health interventions

Assistive Systems in Care: Combining Sensor Technology and Socially Interactive Agents for Health Monitoring

Bildverarbeitung für die Medizin 2025 : proceedings, German Conference on Medical Image Computing, Regensburg March 09-11, 2025

Bildverarbeitung für die Medizin 2025 : Proceedings, German Conference on Medical Image Computing, Regensburg March 09-11, 2025

Brief Mindfulness-Based Intervention as a Means of Tackling Chronic and Recurrent Depression

Characterizing annotations for visual analytics on clinical data

Clinical Validity and Utility of Network Analysis in Clinical Practice

Deep Learning and Traditional Machine Learning for Medical Diagnostics

Deep Learning based Medical Image Analysis using Small Datasets

Deutsche Übersetzung und Validierung des mHealth App Usability Questionnaire - ein Fragebogen zur Messung der Usability eigenständiger medizinischer Apps für Patientinnen und Patienten

Developing guidance on necessary & avoidable care transitions in senior citizens

Development and Evaluation of Immersive User Interfaces for Cognitive and Physical Training

Differential affection of the visual information sub-streams in a patient with visual agnosia

Digital Health in Pregnancy Care: Potential and Application of Mobile Health in Research and Medical Practice

Digital Influences on Health Behavior: Internet Use, Information Retrieval, and Potential Addictive Behaviors Among Patients with Chronic Skin Diseases – A Mixed-Method Study

Digital tools in dermatology: acceptance and unmet needs in the digital transformation of healthcare

Disease stories: visual and narrative strategies for scientific disease communication

Effect of Patient-related Variables on the Alarm Rate of Intensive Care Units’ Monitoring Devices and Prediction of the Alarm Rate Using Machine Learning Models

Effective connectivity of task-evoked and resting-state brain networks: Relationships to aging and behavior

Embedded AI for Real-time Health State Assessment and Treatment Recommendation in Rescue Operations

Empowering Medical Laboratories with Automated AI and Big Data Approaches to Genomics-Based Diagnostics

Engagement in Digital Health through Spatial Computing: Applications in Virtual Reality and Intelligent Virtual Agents

Enhanced automatic feature extraction in heterogeneous biomedical time series for optimization of clinical monitoring and diagnosis

Evaluation of Contradictions as a Data Quality Measure for Real-world and Clinical Research Data

Explainable Artificial Intelligence for Detection of Structural Changes in Myocardium

FHIRing up clinical trials : a framework for interoperability-based data analysis

Föderierte Forschungsinfrastrukturen für ein lernendes Gesundheitssystem in der Akut-, Intensiv- und Notfallmedizin

Healthcare in Virtual Worlds: Exploring Patient Interaction and Medical Training in the Metaverse

Improving internal and external validity in vignette-based digital health research: a test-theoretical and representative design approach

Improving Interoperability and Generalizability through Technology in Parkinson’s Disease

Imputation and forecasting in medical multivariate time series using probabilistic generative machine learning

Integration of hybrid knowledge graph models for real-time decision support in emergency medical care

Integrative Strategies to Combat Alarm Fatigue in Intensive Care: A Dual-Study Approach Examining Staff Perspectives and Interdisciplinary Collaboration

Knowledge-based data-driven segmentation and feature extraction for cardiovascular disease characterization with multi-modal clinical data

Leveraging real-world biomarker data: Statistical methods for investigating missingness and longitudinal information for patient risk assessment

Leveraging sensors and machine learning to support health: Enhancing sitting posture classification and developing an affective computing approach for healthy eating behaviours

Machine Learning Applications in Digital Mental Health Interventions

Machine Learning Dropout Predictions for Personalizing Digital Mental Health Interventions

Mental Health Implications of the COVID-19 Pandemic: Impact on High-Risk Groups and Efficacy of a Psychological Intervention

Mind and machine in medicine : reliance and trust in collaborative human-AI decision-making

Patient Involvement in Medical Decision-Making

Patient-Generated Health Data in Primary Care for the Treatment of Depression

Quantitative Image Analysis for Enhanced Diagnostics in Patient Care Employing Radiomics and Deep Learning Techniques

Strategies for Generalisable Machine Learning with Small Data for Exercise Fatigue Detection : Strategien für generalisierbares maschinelles Lernen mit kleinen Daten zur Erkennung von Erschöpfung bei körperlicher Betätigung

Supporting Healthy Eating by Theory-driven Feedback Design for Mobile Nutrition Applications

Technological interventions to alleviate alarm fatigue in intensive care medicine : an IT systems approach

The impact of artificial intelligence applications on users' behaviour in the medical sector

The Potential of Virtual and Mixed Reality for Training Medical First Responders

Towards a mechanistic understanding of sensorimotor control and symptom perception in persistent physical symptoms : a Bayesian brain perspective

Towards Reproducible, Stable, and Robust Machine Learning Research in Clinical Environments

Towards Vibration-based Structural Health Monitoring using Mobile Android Devices

Uncertainty quantification of binary hybrid models in life sciences

University students' mental health and help-seeking in the context of the COVID-19 pandemic

Use of healthcare standards to support integration and exchange of infection-related data in Germany and in Europe