Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Sai Pavan Kumar Veeranki

Showing results (1-10 of 18) with videos related to

Pageof 2
Sort By:
Journal of Healthcare Informatics Research|August 28, 2023
Introduction and Comparison of Novel Decentral Learning Schemes with Multiple Data Pools for Privacy-Preserving ECG ClassificationMartin Baumgartner, Sai Pavan Kumar Veeranki, Dieter Hayn, et al.
Studies in Health Technology and Informatics|May 12, 2026
Automatic ETL Pipeline Generation for Mapping Heterogeneous Clinical Data into the OMOP Common Data ModelElisabeth Mayrhuber, Philip Stampfer, Sai Pavan Kumar Veeranki, et al.
Psychiatry and Clinical Neurosciences|February 8, 2025
Epigenetic age acceleration is related to cognitive decline in the elderly: Results of the Austrian Stroke Prevention StudyPiyush Gampawar, Sai Pavan Kumar Veeranki, Katja-Elisabeth Petrovic, et al.
Scientific Reports|November 6, 2024
Multi-label text classification via secondary use of large clinical real-world data setsSai Pavan Kumar Veeranki, Akhila Abdulnazar, Diether Kramer, et al.
JAMIA Open|September 19, 2024
Machine learning-based delirium prediction in surgical in-patients: a prospective validation studyStefanie Jauk, Diether Kramer, Stefan Sumerauer, et al.
Studies in Health Technology and Informatics|August 24, 2019
An Improvised Classification Model for Predicting DeliriumSai Pavan Kumar Veeranki, Dieter Hayn, Stefanie Jauk, et al.
Studies in Health Technology and Informatics|May 24, 2019
Information Adapted Machine Learning Models for Prediction in Clinical WorkflowStefanie Jauk, Diether Kramer, Franz Quehenberger, et al.
The Journal of Allergy and Clinical Immunology|November 7, 2025
Machine learning-assisted diagnosis classification of primary immune dysregulation using IDDA2.1 phenotype profilingMalte Schwitzkowski, Sai Pavan Kumar Veeranki, Benedikt N Seidel, et al.
Studies in Health Technology and Informatics|May 24, 2019
Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, et al.
Dysphagia|January 10, 2023
Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort StudyStefanie Jauk, Diether Kramer, Sai Pavan Kumar Veeranki, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Journal of Healthcare Informatics Research|August 28, 2023
Introduction and Comparison of Novel Decentral Learning Schemes with Multiple Data Pools for Privacy-Preserving ECG ClassificationMartin Baumgartner, Sai Pavan Kumar Veeranki, Dieter Hayn, et al.
Studies in Health Technology and Informatics|May 12, 2026
Automatic ETL Pipeline Generation for Mapping Heterogeneous Clinical Data into the OMOP Common Data ModelElisabeth Mayrhuber, Philip Stampfer, Sai Pavan Kumar Veeranki, et al.
Psychiatry and Clinical Neurosciences|February 8, 2025
Epigenetic age acceleration is related to cognitive decline in the elderly: Results of the Austrian Stroke Prevention StudyPiyush Gampawar, Sai Pavan Kumar Veeranki, Katja-Elisabeth Petrovic, et al.
Scientific Reports|November 6, 2024
Multi-label text classification via secondary use of large clinical real-world data setsSai Pavan Kumar Veeranki, Akhila Abdulnazar, Diether Kramer, et al.
JAMIA Open|September 19, 2024
Machine learning-based delirium prediction in surgical in-patients: a prospective validation studyStefanie Jauk, Diether Kramer, Stefan Sumerauer, et al.
Studies in Health Technology and Informatics|August 24, 2019
An Improvised Classification Model for Predicting DeliriumSai Pavan Kumar Veeranki, Dieter Hayn, Stefanie Jauk, et al.
Studies in Health Technology and Informatics|May 24, 2019
Information Adapted Machine Learning Models for Prediction in Clinical WorkflowStefanie Jauk, Diether Kramer, Franz Quehenberger, et al.
The Journal of Allergy and Clinical Immunology|November 7, 2025
Machine learning-assisted diagnosis classification of primary immune dysregulation using IDDA2.1 phenotype profilingMalte Schwitzkowski, Sai Pavan Kumar Veeranki, Benedikt N Seidel, et al.
Studies in Health Technology and Informatics|May 24, 2019
Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, et al.
Dysphagia|January 10, 2023
Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort StudyStefanie Jauk, Diether Kramer, Sai Pavan Kumar Veeranki, et al.
Pageof 2