Sai Veeranki

Orcid: 0000-0003-2009-6428

Affiliations:
  • Graz University of Technology, Institute of Neural Engineering, Austria


According to our database1, Sai Veeranki authored at least 20 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study.
Proceedings of the dHealth 2024, 2024

2023
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression.
IEEE J. Biomed. Health Informatics, September, 2023

Introduction and Comparison of Novel Decentral Learning Schemes with Multiple Data Pools for Privacy-Preserving ECG Classification.
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.
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.
Proceedings of the dHealth 2022, 2022

External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine.
Proceedings of the dHealth 2022, 2022

2021
Towards Automated Screening of Literature on Artificial Intelligence in Nursing.
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.
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.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2019
An Improvised Classification Model for Predicting Delirium.
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?
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.
Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

Information Adapted Machine Learning Models for Prediction in Clinical Workflow.
Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

Patient Record Linkage for Data Quality Assessment Based on Time Series Matching.
Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

2018
Predictive analytics for data driven decision support in health and care.
it Inf. Technol., 2018

On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.
Proceedings of the Data, 2018

Prediction of Readmissions in the German DRG System Based on §21 Datasets.
Proceedings of the German Medical Data Sciences: A Learning Healthcare System, 2018

Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients.
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.
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.
Proceedings of the Health Informatics Meets eHealth - Digital Insight - Information-Driven Health & Care, 2017


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