Michael Netzer
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View article: Quantifying social presence in online-based learning: a statistical and didactical analysis of indicators from social network analysis
Quantifying social presence in online-based learning: a statistical and didactical analysis of indicators from social network analysis Open
Social presence is one key factor for successful learning in socio-constructivist learning theories. Teachers need easily interpretable and didactically relevant information to monitor social presence and to intervene if required while a c…
View article: Predicting prediction: A systematic workflow to analyze factors affecting the classification performance in genomic biomarker discovery
Predicting prediction: A systematic workflow to analyze factors affecting the classification performance in genomic biomarker discovery Open
High throughput technologies in genomics enable the analysis of small alterations in gene expression levels. Patterns of such deviations are an important starting point for the discovery and verification of new biomarker candidates. Identi…
View article: Supervised Machine Learning for Predicting Carbohydrate Malabsorptions Using Hydrogen Breath Tests
Supervised Machine Learning for Predicting Carbohydrate Malabsorptions Using Hydrogen Breath Tests Open
Introduction: Carbohydrate malabsorptions symptoms include intestinal fluid retention, causing diarrhea and abdominal distention. The aim of this work is to create a machine learning model that predicts carbohydrate malabsorption using H 2…
View article: Process Mining of Nursing Routine Data: Cool, but also Useful?
Process Mining of Nursing Routine Data: Cool, but also Useful? Open
Background: Process mining is a promising field of data analytics that is yet to be applied broadly in healthcare. It can streamline the care process, leading to a higher quality of care, increased patient safety and lower costs. Objective…
View article: Visual Analytics in Delirium Management
Visual Analytics in Delirium Management Open
Background: Delirium is a patient safety issue that often occurs within the population of elderly people. As delirium may be characterized by fluctuating progress, the aim of this work is to find methods to visualize the occurrence of deli…
View article: Unsupervised Learning for Hydrogen Breath Tests
Unsupervised Learning for Hydrogen Breath Tests Open
Hydrogen breath tests are a well-established method to help diagnose functional intestinal disorders such as carbohydrate malabsorption or small intestinal bacterial overgrowth. In this work we apply unsupervised machine learning technique…
View article: Canal blocking optimization in restoration of drained peatlands
Canal blocking optimization in restoration of drained peatlands Open
Drained peatlands are one of the main sources of carbon dioxide (CO2) emissions globally. Emission reduction and, more generally, ecosystem restoration can be achieved by raising the water table using canal or drain blocks. When restoring …
View article: Learning Analytics and the Community of Inquiry: Indicators to Analyze and Visualize Online-Based Learning
Learning Analytics and the Community of Inquiry: Indicators to Analyze and Visualize Online-Based Learning Open
Results will help to better understand and improve cooperative online-based learning in higher education.
View article: Evaluating Performance and Interpretability of Machine Learning Methods for Predicting Delirium in Gerontopsychiatric Patients
Evaluating Performance and Interpretability of Machine Learning Methods for Predicting Delirium in Gerontopsychiatric Patients Open
Delirium is an acute mental disturbance that particularly occurs during hospital stay. Current clinical assessment instruments include the Delirium Observation Screening Scale (DOSS) or the Confusion Assessment Method (CAM). The aim of thi…
View article: Ensemble Based Approach for Time Series Classification in Metabolomics
Ensemble Based Approach for Time Series Classification in Metabolomics Open
Background: Machine learning is one important application in the area of health informatics, however classification methods for longitudinal data are still rare.