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Sai Veeranki
Person information
- affiliation: Graz University of Technology, Institute of Neural Engineering, Austria
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2020 – today
- 2024
- [c17]Diether Kramer, Stefanie Jauk, Sai Veeranki, Michael Schrempf, Julia Traub, Eva Kugel, Anna Prisching, Sandra Domnanich, Maria Leopold, Peter Krisper, Gerald Sendlhofer:
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study. dHealth 2024: 156-157 - 2023
- [j3]Martin Baumgartner
, Sai Pavan Kumar Veeranki
, Dieter Hayn
, Günter Schreier
:
Introduction and Comparison of Novel Decentral Learning Schemes with Multiple Data Pools for Privacy-Preserving ECG Classification. J. Heal. Informatics Res. 7(3): 291-312 (2023) - [j2]Manuel Lentzen
, Thomas Linden, Sai Veeranki
, Sumit Madan
, Diether Kramer, Werner Leodolter, Holger Fröhlich
:
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression. IEEE J. Biomed. Health Informatics 27(9): 4548-4558 (2023) - [c16]Julian Gutheil, Philip Stampfer, Diether Kramer, Manuel Wechselberger, Sai Pavan Kumar Veeranki, Michael Schrempf, Peter Mrak, Martina Aubel, Franz Feichtner:
Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory Data. dHealth 2023: 212-219 - 2022
- [c15]Stefanie Jauk, Sai Pavan Kumar Veeranki
, Diether Kramer, Stefan Högler, David Mühlecker, Erwin Eberhartl, Arthur Schueler, Christian Chvosta, Wolfgang Strasser, Reinhold Strasser, Werner Leodolter:
External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine. dHealth 2022: 93-100 - [c14]Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki
, Werner Ribitsch, Werner Leodolter, Peter P. Rainer:
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach. dHealth 2022: 262-269 - 2021
- [c13]Martin Baumgartner, Martin Kropf, Lukas Haider, Sai Veeranki
, Dieter Hayn, Günter Schreier:
ECG Classification Combining Conventional Signal Analysis, Random Forests and Neural Networks - a Stacked Learning Scheme. CinC 2021: 1-4 - [c12]Michael Schrempf, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki
, Werner Leodolter, Peter P. Rainer:
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events. dHealth 2021: 136-143 - [c11]Hans Moen, Dari AlHuwail, Jari Björne, Lori Block, Sven Celin, Eunjoo Jeon, Karl Kreiner
, James Mitchell, Gabriela Ozegovic, Charlene Esteban Ronquillo, Lydia Sequeira, Jude L. Tayaben, Maxim Topaz, Sai Pavan Kumar Veeranki
, Laura-Maria Peltonen
:
Towards Automated Screening of Literature on Artificial Intelligence in Nursing. MedInfo 2021: 637-640
2010 – 2019
- 2019
- [c10]Stefanie Jauk, Diether Kramer, Franz Quehenberger, Sai Pavan Kumar Veeranki, Dieter Hayn
, Günter Schreier, Werner Leodolter:
Information Adapted Machine Learning Models for Prediction in Clinical Workflow. dHealth 2019: 65-72 - [c9]Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, Stefanie Jauk, Alphons Eggerth, Franz Quehenberger, Werner Leodolter, Günter Schreier:
Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care? dHealth 2019: 186-191 - [c8]Alphons Eggerth, Dieter Hayn, Karl Kreiner, Sai Veeranki, Heimo Traninger, Robert Modre-Osprian, Günter Schreier:
Patient Record Linkage for Data Quality Assessment Based on Time Series Matching. dHealth 2019: 210-217 - [c7]Michael Sams, Alphons Eggerth, Dieter Hayn
, Sai Veeranki, Günter Schreier:
Predictive Modelling and Its Visualization for Telehealth Data - Concept and Implementation of an Interactive Viewer. dHealth 2019: 234-241 - [c6]Sai Pavan Kumar Veeranki
, Dieter Hayn
, Stefanie Jauk, Franz Quehenberger, Diether Kramer, Werner Leodolter, Günter Schreier:
An Improvised Classification Model for Predicting Delirium. MedInfo 2019: 1566-1567 - 2018
- [j1]Dieter Hayn
, Sai Veeranki, Martin Kropf
, Alphons Eggerth, Karl Kreiner
, Diether Kramer, Günter Schreier:
Predictive analytics for data driven decision support in health and care. it Inf. Technol. 60(4): 183-194 (2018) - [c5]Alphons Eggerth, Dieter Hayn, Sai Veeranki, Jörg Stieg, Günter Schreier:
Utilising Information of the Case Fee Catalogue to Enhance 30-Day Readmission Prediction in the German DRG System. EFMI-STC 2018: 40-44 - [c4]Sai Pavan Kumar Veeranki, Dieter Hayn
, Diether Kramer, Stefanie Jauk, Günter Schreier:
Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients. eHealth 2018: 124-131 - [c3]Alphons Eggerth, Dieter Hayn, Sai Veeranki, Jörg Stieg, Günter Schreier:
Prediction of Readmissions in the German DRG System Based on §21 Datasets. GMDS 2018: 170-174 - [c2]Sai Veeranki, Dieter Hayn
, Alphons Eggerth, Stefanie Jauk, Diether Kramer, Werner Leodolter, Günter Schreier:
On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care. ICIMTH 2018: 97-100 - 2017
- [c1]Diether Kramer, Sai Veeranki, Dieter Hayn
, Franz Quehenberger, Werner Leodolter, Christian Jagsch, Günter Schreier:
Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients. eHealth 2017: 32-39
Coauthor Index
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last updated on 2024-05-19 00:12 CEST by the dblp team
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