StartZurzeit ausgewähltNotizbuchZuletzt verwendetWebsiteinhalteSuchergebnisseSuchergebnisse Alle SeitenWir stellen uns vorAbteilung Datenintegrationszentrum (DIZ)Über unsÜber unsUnser TeamForschungsschwerpunkteUnser TeamLeistungsspektrumProjektePublikationenLehrePromotion & AbschlussarbeitenPresseÜber unsUnser TeamPublikationenPresse Wir stellen uns vor Datenintegrationszentrum (DIZ) Über uns Unser Team Leistungsspektrum Breite Einwilligung zur Datennutzung Informationen für Patient:innen Datennutzung und Antragsstellung Projektbeteiligungen Öffentlichkeitsarbeit Medical Data Science (MDS) Über uns Unser Team Forschungsschwerpunkte Projekte Publikationen MDS Lab Seminar Lehre Promotion & Abschlussarbeiten Presse Medizinische KI und Translation (MedKIT) Über uns Unser Team AMPEL-CDSS Publikationen Presse Stellenausschreibungen Startseite Einrichtungen & Kliniken Kontakt Anscheinend ist in Ihrem Browser JavaScript nicht aktiviert. Aktivieren Sie bitte JavaScript, und versuchen Sie es erneut. English Medizininformatikzentrum Sie sind hier: Skip Navigation LinksMedizininformatikzentrum Medical Data Science (MDS) MDS Lab Seminar Termine MDS Lab Seminar Seiteninhalt ObenDie nächsten Termine des MDS Lab Seminars sind:19.01.2026 - 13:00 Uhr, Härtelstraße 16-18, Rittersaal R114Thema: Evaluation of Data Imputation Impact on Conventional ML and Time-Series DL ModelsVergangene Termine:24.11.2025 - Automated Diagnosis of Malnutrition Using Nutritional Risk Screening in Hospitalized Patients10.11.2025 - A Multilingual Aspect-Based Sentiment Analysis of Hospital Reviews29.09.2025 - PILEA - Pilot project to introduce the LeukoExpertAdviser into clinical practice15.09.2025 - A Comparative Study on Metformin Use in T2DM with and without Kidney Complications23.06.2025 - Aspect-based sentiment analysis of German hospital reviews28.04.2025 - Aspect-based sentiment analysis of German hospital reviews - introduction14.04.2025 - 1. Enhancing medical machine learning through high-quality synthetic data & 2. Generating Synthetic Multiple Sclerosis Lesions in 3D Brain MRIs31.03.2025 - Early detection of heart failure through integration of clinical and ECG data20.03.2025 - Analysing sex bias in disease research - Bioinformatics approaches in Medicine03.03.2025 - Introduction to deep generative models and missing data handling03.02.2025 - Consent management within the PATH project06.01.2025 - Investigating injury risk factors for professional footbal athletes through machine learning09.12.2024 - Application of realistic identification data generation tools to the LOBB study25.11.2024 - Mental well-being and the environment14.11.2024 - Development and assessment of integrated model-based ontological decision support29.10.2024 - Early detection of heart failure using combined clinical and ECG data14.10.2024 - Improving ICU outcome prediction using ICD code embedding in machine learning30.09.2024 - The interplay of green spaces and mental health16.09.2024 - AI-based liver cancer segmentation in computed tomography scans02.09.2024 - Consent management within the PATH project08.07.2024 - DiaClust clustering of type 2 diabetes patients24.06.2024 - Automated diagnosis of malnutrition in hospitalized patients - NutriScoPe10.06.2024 - The local hub approach for managing research data13.05.2024 - Synthetic data generation at scale for record linkage (Gecko)15.04.2024 - Prediction of unplanned ICU readmission in the MIMIC-IV dataset04.03.2024 - Deep learning-based white-matter abnormality detection in multi-protocol brain MRIs19.02.2024 - AI-based classification of Skin Lesions05.02.2024 - Leuko-Expert - Current progress and early results18.12.2023 - An Automated Pipeline for Efficacy Evaluation of Brain-MRI Defacing Software01.11.2023 - Leuko-Expert: Current progress and results25.10.2023 - e-Nabız: An electronic health record system platform13.10.2023 - Linking data between LIFE and the cancer registry04.10.2023 - Investigating injury risk factors for professional football athletes through machine learning04.09.2023 - Design of a supporting software tool for algorithmic infection surveillance from digitally available clinical data21.08.2023 - Prediction of unplanned intensive care readmission07.08.2023 - Developing an Automatic Evaluation Program for MRI-Defacing Efficacy03.07.2023 - Design of software system to support infection surveillance13.06.2023 - Introduction to FAIR Data Spaces Project28.04.2023 - Physical principles of magnetic resonance imaging15.05.2023 - Machine learning algorithm for medical signals03.04.2023 - Image preprocessing for brain MRI lesion segmentation17.04.2023 - Predictive modelling for unplanned hospital readmission risk- Image preprocessing pipeline for pseudonymization06.03.2023 - Introduction to Kanban for research projects20.02.2023 - From computational neuroanatomy to clinical implementations23.01.2023 - AI models for length of stay prediction and re-hospitalization09.01.2023 - Methodology to derive a conception of a center for adults with disabilities01.11.2022 - Prediction of hospitalization length of stay using MIMIC IV emergency department data17.10.2022 - ETL Pipelines im Datenintegrationszentrum19.09.2022 - Mapping study data from relational to FHIR format05.09.2022 - Population-based association of retinal nerve fibre layer thickness with cognitive function22.08.2022 - DIZ - Application Framework at the Data Integration Center Leipzig11.07.2022 - Laboratory-based prediction of acute kidney insufficience progression27.06.2022 - Praktische Herausforderungen beim Einsatz von Wearables im Gesundheitswesen (Practical challenges of using wearables in healthcare)14.06.2022 - Data Quality Assessment Pipeline30.05.2022 - Introduction to MIMIC Dataset Liebigstraße 18, Haus B 04103 Leipzig Telefon: 0341 - 97 10283 7nach oben