Michael Schrempf
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View article: Harmonization of Electronic Medical Records for Federated Learning: Addressing Challenges in International Healthcare Collaborations
Harmonization of Electronic Medical Records for Federated Learning: Addressing Challenges in International Healthcare Collaborations Open
Background: For the development and implementation of a federated learning (FL) model, a clear outcome definition and the harmonization of healthcare data present major challenges. Healthcare institutions use different data representation …
View article: It’s All About Specific Features: Development of Prediction Models for Key Geriatric Risks Across Three Hospital Providers
It’s All About Specific Features: Development of Prediction Models for Key Geriatric Risks Across Three Hospital Providers Open
Background: Managing geriatric risks is challenging, as early detection of conditions like delirium, frailty, dysphagia, falls, and malnutrition relies on time-intensive manual assessments requiring geriatric expertise. ML approaches can s…
View article: Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretability
Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretability Open
Background Studies of cardiovascular disease risk prediction by machine learning algorithms often do not assess their ability to generalize to other populations and few of them include an analysis of the interpretability of individual pred…
View article: Machine learning-based delirium prediction in surgical in-patients: a prospective validation study
Machine learning-based delirium prediction in surgical in-patients: a prospective validation study Open
Objective Delirium is a syndrome that leads to severe complications in hospitalized patients, but is considered preventable in many cases. One of the biggest challenges is to identify patients at risk in a hectic clinical routine, as most …
View article: Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study Open
Background: Malnutrition in hospitalised patients can lead to serious complications, worse patient outcomes and longer hospital stays. State-of-the-art screening methods rely on scores, which need additional manual assessments causing high…
View article: Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics1
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics1 Open
Background: Artificial Intelligence (AI) has had an important impact on many industries as well as the field of medical diagnostics. In healthcare, AI techniques such as case-based reasoning and data driven machine learning (ML) algorithms…
View article: Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory Data
Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory Data Open
Background: Frail individuals are very vulnerable to stressors, which often lead to adverse outcomes. To ensure an adequate therapy, a holistic diagnostic approach is needed which is provided in geriatric wards. It is important to identify…
View article: Explaining Machine Learning Predictions of Decision Support Systems in Healthcare
Explaining Machine Learning Predictions of Decision Support Systems in Healthcare Open
Artificial Intelligence (AI) methods, which are often based on Machine Learning (ML) algorithms, are also applied in the healthcare domain to provide predictions to physicians and patients based on electronic health records (EHRs), such as…
View article: Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach Open
Background: Patients at risk of developing a disease have to be identified at an early stage to enable prevention. One way of early detection is the use of machine learning based prediction models trained on electronic health records. Obje…
View article: Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events Open
Background: Patients with major adverse cardiovascular events (MACE) such as myocardial infarction or stroke suffer from frequent hospitalizations and have high mortality rates. By identifying patients at risk at an early stage, MACE can b…
View article: Overview of the PALM model system 6.0
Overview of the PALM model system 6.0 Open
In this paper, we describe the PALM model system 6.0. PALM (formerly an abbreviation for Parallelized Large-eddy Simulation Model and now an independent name) is a Fortran-based code and has been applied for studying a variety of atmospher…
View article: Overview of the PALM model system 6.0
Overview of the PALM model system 6.0 Open
In this paper we describe the PALM model system 6.0. PALM is a Fortran based code and has been applied for studying a variety of atmospheric and oceanic boundary layers for about 20 years. The model is optimized for use on massively parall…
View article: Global spectral irradiance array spectroradiometer validation according to WMO
Global spectral irradiance array spectroradiometer validation according to WMO Open
Solar spectral irradiance measured by two recently developed array spectroradiometers (called UV-BTS and VIS-BTS) are compared to the results of a scanning double monochromator system which is certified as a travelling reference instrument…
View article: Why is it so hard to gain enough Vitamin D by solar exposure in the European winter?
Why is it so hard to gain enough Vitamin D by solar exposure in the European winter? Open
UV exposure, which is the main source for a sufficient level of vitamin D in the human body, is found to be up to a factor of 7 lower in Northern Germany (52° N) in the winter months compared to UV levels in thecentral region of New Zealan…
View article: Impact of Orientation on the Vitamin D Weighted Exposure of a Human in an Urban Environment
Impact of Orientation on the Vitamin D Weighted Exposure of a Human in an Urban Environment Open
The vitamin D3-weighted UV exposure of a human with vertical posture was calculated for urban locations to investigate the impact of orientation and obstructions on the exposure. Human exposure was calculated by using the 3D geometry of a …
View article: Is Multidirectional UV Exposure Responsible for Increasing Melanoma Prevalence with Altitude? A Hypothesis Based on Calculations with a 3D-Human Exposure Model
Is Multidirectional UV Exposure Responsible for Increasing Melanoma Prevalence with Altitude? A Hypothesis Based on Calculations with a 3D-Human Exposure Model Open
In a recent study, melanoma incidence rates for Austrian inhabitants living at higher altitudes were found to increase by as much as 30% per 100 m altitude. This strong increase cannot simply be explained by the known increase of erythemal…
View article: Solar simulators for healthy Vitamin D synthesis
Solar simulators for healthy Vitamin D synthesis Open
Background/Aim: The angular distribution of solar radiance and its spectral characteristics is required for the determination of Vitamin D3 production in humans. Materials and Methods: The Vitamin D3 weighted exposure can be calculated by …