Sai Pavan Kumar Veeranki

11 papers Journal 2Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Development and validation of random-forest based federated ensemble learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective study. BMC Medical Informatics Decis. Mak. Sai Pavan Kumar Veeranki, Dieter Hayn, Diether Kramer, Piyush Gajananrao Gampawar, Martin Baumgartner, Lena Delia Lorenzer, Michael Schrempf, Günter Schreier
2023	—	`conf`	Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory Data. dHealth Julian Gutheil, Philip Stampfer, Diether Kramer, Manuel Wechselberger, Sai Pavan Kumar Veeranki, Michael Schrempf, Peter Mrak, Martina Aubel, Franz Feichtner
2023	J	`jnl`	Introduction and Comparison of Novel Decentral Learning Schemes with Multiple Data Pools for Privacy-Preserving ECG Classification. J. Heal. Informatics Res. Martin Baumgartner, Sai Pavan Kumar Veeranki, Dieter Hayn, Günter Schreier
2022	—	`conf`	Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach. dHealth Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Ribitsch, Werner Leodolter, Peter P. Rainer
2022	—	`conf`	External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine. dHealth Stefanie Jauk, Sai Pavan Kumar Veeranki, Diether Kramer, Stefan Högler, David Mühlecker, Erwin Eberhartl, Arthur Schueler, Christian Chvosta, Wolfgang Strasser, Reinhold Strasser, Werner Leodolter
2021	—	`conf`	Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events. dHealth Michael Schrempf, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Leodolter, Peter P. Rainer
2021	—	`conf`	Towards Automated Screening of Literature on Artificial Intelligence in Nursing. MedInfo 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
2019	—	`conf`	An Improvised Classification Model for Predicting Delirium. MedInfo Sai Pavan Kumar Veeranki, Dieter Hayn, Stefanie Jauk, Franz Quehenberger, Diether Kramer, Werner Leodolter, Günter Schreier
2019	—	`conf`	Information Adapted Machine Learning Models for Prediction in Clinical Workflow. dHealth Stefanie Jauk, Diether Kramer, Franz Quehenberger, Sai Pavan Kumar Veeranki, Dieter Hayn, Günter Schreier, Werner Leodolter
2019	—	`conf`	Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care? dHealth Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, Stefanie Jauk, Alphons Eggerth, Franz Quehenberger, Werner Leodolter, Günter Schreier
2018	—	`conf`	Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients. eHealth Sai Pavan Kumar Veeranki, Dieter Hayn, Diether Kramer, Stefanie Jauk, Günter Schreier