S. Veeranki

发表

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events

P. Rainer, M. Schrempf, W. Leodolter, 2021, dHealth.

How to Improve Information Technology to Support Healthcare to Address the COVID-19 Pandemic: an International Survey with Health Informatics Experts

Hans Moen, M. Topaz, T. Risling, 2021, Yearbook of Medical Informatics.

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

T. Lindén, S. Madan, W. Leodolter, 2022, medRxiv.

Information Adapted Machine Learning Models for Prediction in Clinical Workflow

Günter Schreier, Dieter Hayn, Stefanie Jauk, 2019, dHealth.

Towards Automated Screening of Literature on Artificial Intelligence in Nursing

Jude L. Tayaben, Jari Björne, Dari Alhuwail, 2022, MedInfo.

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

Günter Schreier, Dieter Hayn, Diether Kramer, 2017, eHealth.

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

D. Hayn, G. Schreier, Martin Baumgartner, 2023, Journal of Healthcare Informatics Research.

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

P. Mrak, M. Schrempf, F. Feichtner, 2023, dHealth.

2022 AI : Opportunities , Capabilities and Limits

S. Veeranki, Rafael Vidal-Perez, 2022 .