Saptarshi Purkayastha

Orcid: 0000-0003-3625-534X

According to our database1, Saptarshi Purkayastha authored at least 60 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review.
Int. J. Medical Informatics, February, 2024

DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries.
CoRR, 2024

2023
Foundational domains and competencies for baccalaureate health informatics education.
J. Am. Medical Informatics Assoc., September, 2023

The Telehealth Dilemma - Health-Care Deserts Meet the Internet's Remote Regions.
Computer, September, 2023

MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation.
IEEE J. Biomed. Health Informatics, August, 2023

Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research.
CoRR, 2023

Healthcare Security Breaches in the United States: Insights and their Socio-Technical Implications.
CoRR, 2023

Evaluation of accessibility of open-source EHRs for visually impaired users.
CoRR, 2023

A Skills Assessment Pathways-Based Program Assessment Approach in Multidisciplinary Graduate Health Informatics.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Improving Health Informatics Competencies Using an Open-source Educational EHR.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Generalizability of Human Activity Recognition Machine Learning Models from non-Parkinson's to Parkinson's Disease Patients.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Evaluating user acceptance of an open-source mobile app for hospital price transparency rule.
Proceedings of the 31st European Conference on Information Systems, 2023

A General-Purpose AI Assistant Embedded in an Open-Source Radiology Information System.
Proceedings of the Artificial Intelligence in Medicine, 2023

2022
CVAD - An unsupervised image anomaly detector.
Softw. Impacts, 2022

Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets.
CoRR, 2022

Networking Research Innovations for Telesurgery: A Systematic Review.
Proceedings of the Ninth International Conference on Software Defined Systems, 2022

OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

CVAD: An Anomaly Detector for Medical Images Based on Cascade VAE.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Risks and Benefits of AI-generated Text Summarization for Expert Level Content in Graduate Health Informatics.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021
Patient-specific COVID-19 resource utilization prediction using fusion AI model.
npj Digit. Medicine, 2021

A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images.
J. Digit. Imaging, 2021

MedShift: identifying shift data for medical dataset curation.
CoRR, 2021

CVAD: A generic medical anomaly detector based on Cascade VAE.
CoRR, 2021

Margin-Aware Intra-Class Novelty Identification for Medical Images.
CoRR, 2021

Reading Race: AI Recognises Patient's Racial Identity In Medical Images.
CoRR, 2021

Using Machine Learning Approaches to Identify Exercise Activities from a Triple-Synchronous Biomedical Sensor.
Proceedings of the Intelligent Systems Design and Applications, 2021

Electronic Patient Records as a Substrate for Collaboration for Distributed Care in Low-Resource Contexts.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Optimizing Medical Image Classification Models for Edge Devices.
Proceedings of the Distributed Computing and Artificial Intelligence, 2021

Predicting Opioid Prescriptions based on Patient Demographics in MIMIC-IV.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Usability and Security of Different Authentication Methods for an Electronic Health Records System.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020
Enabling Secure and Effective Biomedical Data Sharing through Cyberinfrastructure Gateways.
CoRR, 2020

Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications.
CoRR, 2020

Artificial Intelligence for Global Health: Learning From a Decade of Digital Transformation in Health Care.
CoRR, 2020

Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS.
CoRR, 2020

Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes.
CoRR, 2020

AuthN-AuthZ: Integrated, User-Friendly and Privacy-Preserving Authentication and Authorization.
Proceedings of the Second IEEE International Conference on Trust, 2020

Continuous Security through Integration Testing in an Electronic Health Records System.
Proceedings of the International Conference on Software Security and Assurance, 2020

Blood Glucose Level Prediction as Time-Series Modeling using Sequence-to-Sequence Neural Networks.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

Essential Care for Every Baby: Neonatal Clinical Decision Support Tool.
Proceedings of the Advances in Human Factors and Ergonomics in Healthcare and Medical Devices, 2020

2019
Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks.
CoRR, 2019

Development and Implementation of a Dashboard for Diabetes Care Management in OpenMRS.
CoRR, 2019

The Development and Usability Testing of a Decision Support Mobile App for the Essential Care for Every Baby (ECEB) Program.
Proceedings of the HCI International 2019 - Late Breaking Posters, 2019

Evaluating the Implementation of Deep Learning in LibreHealth Radiology on Chest X-Rays.
Proceedings of the Advances in Computer Vision, 2019

Full Training versus Fine Tuning for Radiology Images Concept Detection Task for the ImageCLEF 2019 Challenge.
Proceedings of the Working Notes of CLEF 2019, 2019

2018
A Platform for Innovation and Standards Evaluation: a Case Study from the OpenMRS Open-Source Radiology Information System.
J. Digit. Imaging, 2018

Phronesis of AI in radiology: Superhuman meets natural stupidity.
CoRR, 2018

Development of an Innovative Mobile Phone-Based Newborn Care Training Application.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2018

Finding the Best EHR Training Dataset: A Cross-over Trial.
Proceedings of the AMIA 2018, 2018

2017
Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure.
Int. J. Medical Informatics, 2017

Comparative Performance Analysis of Different Fingerprint Biometric Scanners for Patient Matching.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Conversion of JPG Image into DICOM Image Format with One Click Tagging.
Proceedings of the Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety, 2017

Mobile-Application Based Cognitive Behavior Therapy (CBT) for Identifying and Managing Depression and Anxiety.
Proceedings of the Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Health and Safety, 2017

Using cognitive fit theory to evaluate patient understanding of medical images.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Overcoming the Maternal Care Crisis: How Can Lessons Learnt in Global Health Informatics Address US Maternal Health Outcomes?
Proceedings of the AMIA 2017, 2017

2015
The Genus of Information Infrastructures: Architecture, Governance & Praxis.
PhD thesis, 2015

Designing a drawing-based tool to manage EBRT process in an open-source oncology EMR system.
Proceedings of the AMIA 2015, 2015

2013
Big Data Analytics for developing countries - Using the Cloud for Operational BI in Health.
Electron. J. Inf. Syst. Dev. Ctries., 2013

A Post-development Perspective on mHealth - An Implementation Initiative in Malawi.
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013

2010
Exploring the potential and challenges of using mobile based technology in strengthening health information systems: Experiences from a pilot study.
Proceedings of the Sustainable IT Collaboration Around the Globe. 16th Americas Conference on Information Systems, 2010


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