Erwin P. Bottinger

According to our database, Erwin P. Bottinger authored at least 23 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Core determinants of quality criteria for mhealth for hypertension: evidence from machine learning instruments.

Danielly F. O. de Paula, Ariane Sasso, Justus Cöster, Erwin P. Böttinger

CoRR, 2023

Keyword-optimized Template Insertion for Clinical Information Extraction via Prompt-based Learning.

Eugenia Alleva, Isotta Landi, Leslee J. Shaw, Erwin P. Böttinger, Thomas J. Fuchs, Ipek Ensari

CoRR, 2023

Machine Learning Based Prediction of Incident Cases of Crohn's Disease Using Electronic Health Records from a Large Integrated Health System.

Julian Hugo, Susanne Ibing, Florian Borchert, Jan-Philipp Sachs, Judy Cho, Ryan C. Ungaro, Erwin P. Böttinger

Proceedings of the Artificial Intelligence in Medicine, 2023

2021

Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records.

Jessica K. De Freitas, Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni, Joel T. Dudley, Erwin P. Bottinger, Benjamin S. Glicksberg, Riccardo Miotto

Patterns, 2021

StudyMe: A New Mobile App for User-Centric N-of-1 Trials.

Alexander M. Zenner, Erwin P. Böttinger, Stefan Konigorski

CoRR, 2021

Using interpretability approaches to update "black-box" clinical prediction models: an external validation study in nephrology.

Harry Freitas Da Cruz, Boris Pfahringer, Tom Martensen, Frederic Schneider, Alexander Meyer, Erwin P. Böttinger, Matthieu-P. Schapranow

Artif. Intell. Medicine, 2021

Domain-Specific Event Abstraction.

Finn Klessascheck, Tom Lichtenstein, Martin Meier, Simon Remy, Jan-Philipp Sachs, Luise Pufahl, Riccardo Miotto, Erwin P. Böttinger, Mathias Weske

Proceedings of the 24th International Conference on Business Information Systems, 2021

Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records.

Melanie Hackl, Suparno Datta, Riccardo Miotto, Erwin P. Böttinger

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

A structural variation reference for medical and population genetics.

Ryan L. Collins, Harrison Brand, Konrad J. Karczewski, Xuefang Zhao, Jessica Alföldi, Laurent C. Francioli, Amit V. Khera, Chelsea Lowther, Laura D. Gauthier, Harold Wang, Nicholas A. Watts, Matthew Solomonson, Alexander Baumann, Ruchi Munshi, Mark Walker, Christopher W. Whelan, Yongqing Huang, Ted Brookings, Ted Sharpe, Matthew R. Stone, Elise Valkanas, Jack Fu, Grace Tiao, Kristen M. Laricchia, Valentín Ruano-Rubio, Christine Stevens, Namrata Gupta, Caroline Cusick, Lauren Margolin, Irina M. Armean, Eric Banks, Louis Bergelson, Kristian Cibulskis, Kristen M. Connolly, Miguel Covarrubias, Beryl B. Cummings, Mark J. Daly, Stacey Donnelly, Yossi Farjoun, Steven Ferriera, Stacey Gabriel, Jeff Gentry, Thibault Jeandet, Diane Kaplan, Christopher Llanwarne, Eric V. Minikel, Benjamin M. Neale, Sam Novod, Anne H. O'Donnell-Luria, Nikelle Petrillo, Timothy Poterba, David Roazen, Andrea Saltzman, Kaitlin E. Samocha, Molly Schleicher, Cotton Seed, José Soto, Kathleen Tibbetts, Charlotte Tolonen, Christopher Vittal, Gordon Wade, Arcturus Wang, Qingbo Wang, James S. Ware, Ben Weisburd, Nicola Whiffin, Carlos A. Aguilar Salinas, Tariq Ahmad, Christine M. Albert, Diego Ardissino, Gil Atzmon, John Barnard, Laurent Beaugerie, Emelia J. Benjamin, Michael Boehnke, Lori L. Bonnycastle, Erwin P. Bottinger, Donald W. Bowden, Matthew J. Bown, John C. Chambers, Juliana C. Chan, Daniel Chasman, Judy Cho, Mina K. Chung, Bruce Cohen, Adolfo Correa, Dana Dabelea, Dawood Darbar, Ravindranath Duggirala, Josée Dupuis, Patrick T. Ellinor, Roberto Elosua, Jeanette Erdmann, Tõnu Esko, Martti Färkkilä, Jose Florez, Andre Franke, Gad Getz, Benjamin Glaser, Stephen J. Glatt, David Goldstein, Clicerio Gonzalez, Leif Groop, Christopher A. Haiman, Craig Hanis, Matthew Harms, Mikko Hiltunen, Matti M. Holi, Christina M. Hultman, Mikko Kallela, Jaakko Kaprio, Sekar Kathiresan, Bong-Jo Kim, Young Jin Kim, George Kirov, Jaspal Kooner, Seppo Koskinen, Harlan M. Krumholz, Subra Kugathasan, Soo Heon Kwak, Markku Laakso, Terho Lehtimäki, Ruth J. F. Loos, Steven A. Lubitz, Ronald C. W. Ma, Daniel G. MacArthur, Jaume Marrugat, Kari M. Mattila, Steven A. McCarroll, Mark I. McCarthy, Dermot McGovern, Ruth McPherson, James B. Meigs, Olle Melander, Andres Metspalu, Peter M. Nilsson, Michael C. O'Donovan, Dost Öngür, Lorena Orozco, Michael J. Owen, Colin N. A. Palmer, Aarno Palotie, Kyong Soo Park, Carlos Pato, Ann E. Pulver, Nazneen Rahman, Anne M. Remes, John D. Rioux, Samuli Ripatti, Dan M. Roden, Danish Saleheen, Veikko Salomaa, Nilesh J. Samani, Jeremiah Scharf, Heribert Schunkert, Moore B. Shoemaker, Pamela Sklar, Hilkka Soininen, Harry Sokol, Tim Spector, Patrick F. Sullivan, Jaana Suvisaari, E. Shyong Tai, Yik Ying Teo, Tuomi Tiinamaija, Ming Tsuang, Dan Turner, Teresa Tusie-Luna, Erkki Vartiainen, Hugh Watkins, Rinse K. Weersma, Maija Wessman, James G. Wilson, Ramnik J. Xavier, Kent D. Taylor, Henry J. Lin, Stephen S. Rich, Wendy S. Post, Yii-Der Ida Chen, Jerome I. Rotter, Chad Nusbaum, Anthony A. Philippakis, Eric S. Lander, Michael E. Talkowski

Nat., 2020

StudyU: a platform for designing and conducting innovative digital N-of-1 trials.

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

CoRR, 2020

Using CEF Digital Service Infrastructures in the Smart4Health Project for the Exchange of Electronic Health Records.

Tamara Slosarek, Attila Wohlbrandt, Erwin P. Böttinger

CoRR, 2020

Position Matters: Sensor Placement for Sitting Posture Classification.

Arpita Mallikarjuna Kappattanavar, Harry Freitas Da Cruz, Bert Arnrich, Erwin P. Böttinger

Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Event Log Generation in a Health System: A Case Study.

Simon Remy, Luise Pufahl, Jan-Philipp Sachs, Erwin P. Böttinger, Mathias Weske

Proceedings of the Business Process Management - 18th International Conference, 2020

HYPE: Predicting Blood Pressure from Photoplethysmograms in a Hypertensive Population.

Ariane Morassi Sasso, Suparno Datta, Michael Jeitler, Nico Steckhan, Christian S. Kessler, Andreas Michalsen, Bert Arnrich, Erwin P. Böttinger

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Qualitative Comparison of Selected Indel Detection Methods for RNA-Seq Data.

Tamara Slosarek, Milena Kraus, Matthieu-P. Schapranow, Erwin P. Böttinger

Proceedings of the Bioinformatics and Biomedical Engineering, 2019

A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome.

Suparno Datta, Anne Schraplau, Harry Freitas Da Cruz, Jan-Philipp Sachs, Frank Mayer, Erwin P. Böttinger

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018

HPI-DHC at TREC 2018 Precision Medicine Track.

Michel Oleynik, Erik Faessler, Ariane Morassi Sasso, Arpita Kappattanavar, Benjamin Bergner, Harry Freitas Da Cruz, Jan-Philipp Sachs, Suparno Datta, Erwin P. Böttinger

Proceedings of the Twenty-Seventh Text REtrieval Conference, 2018

2017

iGAS: A framework for using electronic intraoperative medical records for genomic discovery.

Matthew A. Levin, Thomas T. Joseph, Janina M. Jeff, Rajiv Nadukuru, Stephen B. Ellis, Erwin P. Bottinger, Eimear E. Kenny

J. Biomed. Informatics, 2017

2015

Incorporating temporal EHR data in predictive models for risk stratification of renal function deterioration.

Anima Singh, Girish N. Nadkarni, Omri Gottesman, Stephen B. Ellis, Erwin P. Bottinger, John V. Guttag

J. Biomed. Informatics, 2015

2014

Leveraging hierarchy in medical codes for predictive modeling.

Anima Singh, Girish N. Nadkarni, John V. Guttag, Erwin P. Bottinger

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

Development and validation of an electronic phenotyping algorithm for chronic kidney disease.

Girish N. Nadkarni, Omri Gottesman, James G. Linneman, Herbert S. Chase, Richard L. Berg, Samira Farouk, Vaneet Lotay, Stephen B. Ellis, George Hripcsak, Peggy L. Peissig, Chunhua Weng, Rajiv Nadukuru, Erwin P. Bottinger

Proceedings of the AMIA 2014, 2014

Disease progression subtype discovery from longitudinal EMR data with a majority of missing values and unknown initial time points.

Ilkka Huopaniemi, Girish N. Nadkarni, Rajiv Nadukuru, Vaneet Lotay, Stephen B. Ellis, Omri Gottesman, Erwin P. Bottinger

Proceedings of the AMIA 2014, 2014

2006

QTL MatchMaker: a multi-species quantitative trait loci (QTL) database and query system for annotation of genes and QTL.

Kremena V. Star, Quingbin Song, Andy Zhu, Erwin P. Böttinger

Nucleic Acids Res., 2006