Anand Avati

According to our database, Anand Avati authored at least 14 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

AI-enabled palliative care : from algorithms to clinical deployment.

Anand Avati

PhD thesis, 2022

2021

Improving hospital readmission prediction using individualized utility analysis.

Michael Ko, Emma Chen, Ashwin Agrawal, Pranav Rajpurkar, Anand Avati, Andrew Yan-Tak Ng, Sanjay Basu, Nigam H. Shah

J. Biomed. Informatics, 2021

A framework for making predictive models useful in practice.

Kenneth Jung, Sehj Kashyap, Anand Avati, Stephanie Harman, Heather Shaw, Ron C. Li, Margaret Smith, Kenny Shum, Jacob Javitz, Yohan Vetteth, Tina Seto, Steven C. Bagley, Nigam H. Shah

J. Am. Medical Informatics Assoc., 2021

BEDS-Bench: Behavior of EHR-models under Distributional Shift-A Benchmark.

Anand Avati, Martin Seneviratne, Emily Xue, Zhen Xu, Balaji Lakshminarayanan, Andrew M. Dai

CoRR, 2021

2020

NGBoost: Natural Gradient Boosting for Probabilistic Prediction.

Tony Duan, Anand Avati, Daisy Yi Ding, Khanh K. Thai, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling.

Sara G. Murray, Anand Avati, Gabriela Schmajuk, Jinoos Yazdany

J. Am. Medical Informatics Assoc., 2019

NGBoost: Natural Gradient Boosting for Probabilistic Prediction.

Tony Duan, Anand Avati, Daisy Yi Ding, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler

CoRR, 2019

Countdown Regression: Sharp and Calibrated Survival Predictions.

Anand Avati, Tony Duan, Sharon Zhou, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning.

Yichen Shen, Maxime Voisin, Alireza Aliamiri, Anand Avati, Awni Y. Hannun, Andrew Y. Ng

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Predicting Inpatient Discharge Prioritization With Electronic Health Records.

Anand Avati, Stephen Pfohl, Chris Lin, Thao Nguyen, Meng Zhang, Philip Hwang, Jessica Wetstone, Kenneth Jung, Andrew Y. Ng, Nigam H. Shah

CoRR, 2018

Countdown Regression: Sharp and Calibrated Survival Predictions.

Anand Avati, Tony Duan, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng

CoRR, 2018

Capturing Heterogeneity in Complex Chronic Illness: Building a Model for Systemic Lupus Erythematosus (SLE) with "Noisy Labeling" of Data.

Sara G. Murray, Anand Avati, Gabriela Schmajuk, Jinoos Yazdany

Proceedings of the AMIA 2018, 2018

2017

Improving palliative care with deep learning.

Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Neural Language Correction with Character-Based Attention.

Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng

CoRR, 2016