Padma Kaul

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Gradient Boosting

Machine Learning

Multilabel Classification

Top Venues

npj Digit. Medicine

Publications

Sunil Vasu Kalmady, Amir Salimi, Weijie Sun, Nariman Sepehrvand, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Abram Hindle, Finlay A. McAlister, Russell Greiner, Roopinder K. Sandhu, Padma Kaul
Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level. npj Digit. Medicine 7 (1) (2024)
Vikhyat Agrawal, Sunil Vasu Kalmady, Venkataseetharam Manoj Malipeddi, Manisimha Varma Manthena, Weijie Sun, Saiful Islam, Abram Hindle, Padma Kaul, Russell Greiner
Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data. CoRR (2024)
Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Amir Salimi, Yousef Nademi, Kevin Bainey, Justin A. Ezekowitz, Russell Greiner, Abram Hindle, Finlay A. McAlister, Roopinder K. Sandhu, Padma Kaul
Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms. npj Digit. Medicine 6 (2023)
Amir Salimi, Sunil Vasu Kalmady, Abram Hindle, Osmar Zaïane, Padma Kaul
Exploring Best Practices for ECG Signal Processing in Machine Learning. CoRR (2023)
Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Shiang Qi, Abram Hindle, Padma Kaul, Russell Greiner
Supervised Electrocardiogram(ECG) Features Outperform Knowledge-based And Unsupervised Features In Individualized Survival Prediction. ML4H@NeurIPS (2023)
Yousef Nademi, Sunil Vasu Kalmady, Weijie Sun, Amir Salimi, Abram Hindle, Padma Kaul, Russell Greiner
Generative Data by β-Variational Autoencoders Help Build Stronger Classifiers: ECG Use Case. SIPAIM (2023)
Weijie Sun, Sunil Vasu Kalmady, Nariman Sepehrvand, Luan Manh Chu, Zihan Wang, Amir Salimi, Abram Hindle, Russell Greiner, Padma Kaul
Improving ECG-based COVID-19 diagnosis and mortality predictions using pre-pandemic medical records at population-scale. CoRR (2022)
Weijie Sun, Sunil Vasu Kalmady, Amir Salimi, Nariman Sepehrvand, Eric Ly, Abram Hindle, Russell Greiner, Padma Kaul
ECG for high-throughput screening of multiple diseases: Proof-of-concept using multi-diagnosis deep learning from population-based datasets. CoRR (2022)
Alexander William Wong, Amir Salimi, Abram Hindle, Sunil Vasu Kalmady, Padma Kaul
Multilabel 12-Lead Electrocardiogram Classification Using Beat to Sequence Autoencoders. ICASSP (2021)
Sunil Vasu Kalmady, Weijie Sun, Justin Ezekowitz, Nowell Fine, Jonathan Howlett, Anamaria Savu, Russ Greiner, Padma Kaul
Improving the Calibration of Long Term Predictions of Heart Failure Rehospitalizations using Medical Concept Embedding. SPACA (2021)
Alexander William Wong, Weijie Sun, Sunil Vasu Kalmady, Padma Kaul, Abram Hindle
Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble. CinC (2020)
Alexander William Wong, Weijie Sun, Sunil Vasu Kalmady, Padma Kaul, Abram Hindle
Multilabel 12-Lead Electrocardiogram Classification Using Gradient Boosting Tree Ensemble. CoRR (2020)