Sai Veeranki

According to our database, Sai Veeranki authored at least 19 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression.

Manuel Lentzen, Thomas Linden, Sai Veeranki, Sumit Madan, Diether Kramer, Werner Leodolter, Holger Fröhlich

IEEE J. Biomed. Health Informatics, September, 2023

Introduction and Comparison of Novel Decentral Learning Schemes with Multiple Data Pools for Privacy-Preserving ECG Classification.

Martin Baumgartner, Sai Pavan Kumar Veeranki, Dieter Hayn, Günter Schreier

J. Heal. Informatics Res., September, 2023

Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory Data.

Julian Gutheil, Philip Stampfer, Diether Kramer, Manuel Wechselberger, Sai Pavan Kumar Veeranki, Michael Schrempf, Peter Mrak, Martina Aubel, Franz Feichtner

Proceedings of the dHealth 2023, 2023

2022

Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.

Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Ribitsch, Werner Leodolter, Peter P. Rainer

Proceedings of the dHealth 2022, 2022

External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine.

Stefanie Jauk, Sai Pavan Kumar Veeranki, Diether Kramer, Stefan Högler, David Mühlecker, Erwin Eberhartl, Arthur Schueler, Christian Chvosta, Wolfgang Strasser, Reinhold Strasser, Werner Leodolter

Proceedings of the dHealth 2022, 2022

2021

Towards Automated Screening of Literature on Artificial Intelligence in Nursing.

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

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events.

Michael Schrempf, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Leodolter, Peter P. Rainer

Proceedings of the Navigating Healthcare Through Challenging Times - Proceedings of dHealth 2021, 2021

ECG Classification Combining Conventional Signal Analysis, Random Forests and Neural Networks - a Stacked Learning Scheme.

Martin Baumgartner, Martin Kropf, Lukas Haider, Sai Veeranki, Dieter Hayn, Günter Schreier

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2019

An Improvised Classification Model for Predicting Delirium.

Sai Pavan Kumar Veeranki, Dieter Hayn, Stefanie Jauk, Franz Quehenberger, Diether Kramer, Werner Leodolter, Günter Schreier

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?

Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, Stefanie Jauk, Alphons Eggerth, Franz Quehenberger, Werner Leodolter, Günter Schreier

Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

Predictive Modelling and Its Visualization for Telehealth Data - Concept and Implementation of an Interactive Viewer.

Michael Sams, Alphons Eggerth, Dieter Hayn, Sai Veeranki, Günter Schreier

Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

Information Adapted Machine Learning Models for Prediction in Clinical Workflow.

Stefanie Jauk, Diether Kramer, Franz Quehenberger, Sai Pavan Kumar Veeranki, Dieter Hayn, Günter Schreier, Werner Leodolter

Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

Patient Record Linkage for Data Quality Assessment Based on Time Series Matching.

Alphons Eggerth, Dieter Hayn, Karl Kreiner, Sai Veeranki, Heimo Traninger, Robert Modre-Osprian, Günter Schreier

Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

2018

Predictive analytics for data driven decision support in health and care.

Dieter Hayn, Sai Veeranki, Martin Kropf, Alphons Eggerth, Karl Kreiner, Diether Kramer, Günter Schreier

it Inf. Technol., 2018

On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.

Sai Veeranki, Dieter Hayn, Alphons Eggerth, Stefanie Jauk, Diether Kramer, Werner Leodolter, Günter Schreier

Proceedings of the Data, 2018

Prediction of Readmissions in the German DRG System Based on §21 Datasets.

Alphons Eggerth, Dieter Hayn, Sai Veeranki, Jörg Stieg, Günter Schreier

Proceedings of the German Medical Data Sciences: A Learning Healthcare System, 2018

Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients.

Sai Pavan Kumar Veeranki, Dieter Hayn, Diether Kramer, Stefanie Jauk, Günter Schreier

Proceedings of the Health Informatics Meets eHealth - Biomedical Meets eHealth - From Sensors to Decisions, 2018

Utilising Information of the Case Fee Catalogue to Enhance 30-Day Readmission Prediction in the German DRG System.

Alphons Eggerth, Dieter Hayn, Sai Veeranki, Jörg Stieg, Günter Schreier

Proceedings of the Decision Support Systems and Education, 2018

2017

Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients.

Diether Kramer, Sai Veeranki, Dieter Hayn, Franz Quehenberger, Werner Leodolter, Christian Jagsch, Günter Schreier

Proceedings of the Health Informatics Meets eHealth - Digital Insight - Information-Driven Health & Care, 2017