Publications
32
Citations
160
Est. group size
—
Recurring co-author estimate
Active years
9
Publishing since 2018
Swati Padhee works at the intersection of machine learning and healthcare, applying natural language processing and data analysis techniques to problems like pain assessment in sickle cell disease patients, mental health monitoring via social media, and bias detection in synthetic medical data. Their work also extends to image-based analysis in ophthalmology, such as estimating blood flow and eye shape from scans. Prospective students would be exposed to a mix of text-mining, clustering, and biomedical signal/image analysis methods applied to real clinical and social data.
Publication output rose sharply around 2020, has since fluctuated with a dip in 2023-2024, and shows renewed activity in 2025-2026, averaging just over two publications per year in the last five years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Automated Montaging of Ultrasound Scans for Determination of Ocular Globe Shape
Research Square · 2026
- Examining retinal blood flow using a fast, line scanning adaptive optics ophthalmoscope
2026
- MedEqualizer: A Framework Investigating Bias in Synthetic Medical Data and Mitigation via Augmentation
arXiv (Cornell University) · 2025
- Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning
Frontiers in Big Data · 2023
- Pain Forecasting using Self-supervised Learning and Patient Phenotyping: An attempt to prevent Opioid Addiction
arXiv (Cornell University) · 2023
- Machine Learning for Aiding Blood Flow Velocity Estimation Based on Angiography
Bioengineering · 2022
- Improving Pain Assessment Using Vital Signs and Pain Medication for Patients With Sickle Cell Disease: Retrospective Study
JMIR Formative Research · 2022
- Machine Learning for Aiding Blood Flow Velocity Estimation Based on Angiography
Preprints.org · 2022
- Improving Pain Assessment Using Vital Signs and Pain Medication for Patients With Sickle Cell Disease: Retrospective Study (Preprint)
2022
- Pain Intensity Assessment in Sickle Cell Disease Patients Using Vital Signs During Hospital Visits
Lecture notes in computer science · 2021
- COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study
Lecture notes in computer science · 2021
- Clustering of Pain Dynamics in Sickle Cell Disease from Sparse, Uneven Samples
arXiv (Cornell University) · 2021
- Classification of Pain Dynamics in Sickle Cell Disease from Mobile App Reporting
Blood · 2021
- Exploring Language Patterns in a Medical Licensure Exam Item Bank
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 2021
- Clustering of Social Media Messages for Humanitarian Aid Response during Crisis
arXiv (Cornell University) · 2020
- arXiv (Cornell University)×9
- Lecture notes in computer science×2
- CORE Scholar (Wright State University)×2
- IEEE Internet Computing×1
- Bioengineering×1
- Brandon M. Hardesty
Medicine · Indiana University
- Christian Rivera
Medicine · Purdue University West Lafayette
- Andrew RW O’Brien
Medicine · Indiana University
- Ben McCorkle
Medicine · The Ohio State University
- Derrick L. Goubeaux
Medicine · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile