Erwin P. Böttinger

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 15

Top Topics

Machine Learning

Sensor Placement

Top Venues

Artif. Intell. Medicine

Publications

Danielly F. O. de Paula, Ariane Sasso, Justus Cöster, Erwin P. Böttinger
Core determinants of quality criteria for mhealth for hypertension: evidence from machine learning instruments. CoRR (2023)
Julian Hugo, Susanne Ibing, Florian Borchert, Jan-Philipp Sachs, Judy Cho, Ryan C. Ungaro, Erwin P. Böttinger
Machine Learning Based Prediction of Incident Cases of Crohn's Disease Using Electronic Health Records from a Large Integrated Health System. AIME (2023)
Eugenia Alleva, Isotta Landi, Leslee J. Shaw, Erwin P. Böttinger, Thomas J. Fuchs, Ipek Ensari
Keyword-optimized Template Insertion for Clinical Information Extraction via Prompt-based Learning. CoRR (2023)
Harry Freitas Da Cruz, Boris Pfahringer, Tom Martensen, Frederic Schneider, Alexander Meyer, Erwin P. Böttinger, Matthieu-P. Schapranow
Using interpretability approaches to update "black-box" clinical prediction models: an external validation study in nephrology. Artif. Intell. Medicine 111 (2021)
Melanie Hackl, Suparno Datta, Riccardo Miotto, Erwin P. Böttinger
Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records. AIME (2021)
Alexander M. Zenner, Erwin P. Böttinger, Stefan Konigorski
StudyMe: A New Mobile App for User-Centric N-of-1 Trials. CoRR (2021)
Finn Klessascheck, Tom Lichtenstein, Martin Meier, Simon Remy, Jan-Philipp Sachs, Luise Pufahl, Riccardo Miotto, Erwin P. Böttinger, Mathias Weske
Domain-Specific Event Abstraction. BIS (2021)
Arpita Mallikarjuna Kappattanavar, Harry Freitas Da Cruz, Bert Arnrich, Erwin P. Böttinger
Position Matters: Sensor Placement for Sitting Posture Classification. ICHI (2020)
Ariane Morassi Sasso, Suparno Datta, Michael Jeitler, Nico Steckhan, Christian S. Kessler, Andreas Michalsen, Bert Arnrich, Erwin P. Böttinger
HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population. AIME (2020)
Simon Remy, Luise Pufahl, Jan-Philipp Sachs, Erwin P. Böttinger, Mathias Weske
Event Log Generation in a Health System: A Case Study. BPM (2020)
Tamara Slosarek, Attila Wohlbrandt, Erwin P. Böttinger
Using CEF Digital Service Infrastructures in the Smart4Health Project for the Exchange of Electronic Health Records. CoRR (2020)
Stefan Konigorski, Sarah Wernicke, Tamara Slosarek, Alexander M. Zenner, Nils Strelow, Ferenc D. Ruether, Florian Henschel, Manisha Manaswini, Fabian Pottbäcker, Jonathan A. Edelman, Babajide Alamu Owoyele, Matteo Danieletto, Eddye Golden, Micol Zweig, Girish N. Nadkarni, Erwin P. Böttinger
StudyU: a platform for designing and conducting innovative digital N-of-1 trials. CoRR (2020)
Suparno Datta, Anne Schraplau, Harry Freitas Da Cruz, Jan-Philipp Sachs, Frank Mayer, Erwin P. Böttinger
A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome. BIBE (2019)
Tamara Slosarek, Milena Kraus, Matthieu-P. Schapranow, Erwin P. Böttinger
Qualitative Comparison of Selected Indel Detection Methods for RNA-Seq Data. IWBBIO (1) (2019)
Michel Oleynik, Erik Faessler, Ariane Morassi Sasso, Arpita Kappattanavar, Benjamin Bergner, Harry Freitas Da Cruz, Jan-Philipp Sachs, Suparno Datta, Erwin P. Böttinger
HPI-DHC at TREC 2018 Precision Medicine Track. TREC (2018)
Kremena V. Star, Quingbin Song, Andy Zhu, Erwin P. Böttinger
QTL MatchMaker: a multi-species quantitative trait loci (QTL) database and query system for annotation of genes and QTL. Nucleic Acids Res. 34 (Database-Issue) (2006)