Anand Avati

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 14

Top Topics

Ridge Regression

Atrial Fibrillation

Top Venues

J. Am. Medical Informatics Assoc.

BMC Medical Informatics Decis. Mak.

Publications

Kenneth Jung, Sehj Kashyap, Anand Avati, Stephanie Harman, Heather Shaw, Ron Li, Margaret Smith, Kenny Shum, Jacob Javitz, Yohan Vetteth, Tina Seto, Steven C. Bagley, Nigam H. Shah
A framework for making predictive models useful in practice. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Michael Ko, Emma Chen, Ashwin Agrawal, Pranav Rajpurkar, Anand Avati, Andrew Yan-Tak Ng, Sanjay Basu, Nigam H. Shah
Improving hospital readmission prediction using individualized utility analysis. J. Biomed. Informatics 119 (2021)
Anand Avati, Martin Seneviratne, Emily Xue, Zhen Xu, Balaji Lakshminarayanan, Andrew M. Dai
BEDS-Bench: Behavior of EHR-models under Distributional Shift-A Benchmark. CoRR (2021)
Tony Duan, Anand Avati, Daisy Yi Ding, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler
NGBoost: Natural Gradient Boosting for Probabilistic Prediction. CoRR (2019)
Yichen Shen, Maxime Voisin, Alireza Aliamiri, Anand Avati, Awni Y. Hannun, Andrew Y. Ng
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning. KDD (2019)
Anand Avati, Tony Duan, Sharon Zhou, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng
Countdown Regression: Sharp and Calibrated Survival Predictions. UAI (2019)
Sara G. Murray, Anand Avati, Gabriela Schmajuk, Jinoos Yazdany
Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling. J. Am. Medical Informatics Assoc. 26 (1) (2019)
Anand Avati, Tony Duan, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng
Countdown Regression: Sharp and Calibrated Survival Predictions. CoRR (2018)
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah
Improving palliative care with deep learning. BMC Medical Informatics Decis. Mak. 18 (S-4) (2018)
Anand Avati, Stephen Pfohl, Chris Lin, Thao Nguyen, Meng Zhang, Philip Hwang, Jessica Wetstone, Kenneth Jung, Andrew Y. Ng, Nigam H. Shah
Predicting Inpatient Discharge Prioritization With Electronic Health Records. CoRR (2018)
Sara G. Murray, Anand Avati, Gabriela Schmajuk, Jinoos Yazdany
Capturing Heterogeneity in Complex Chronic Illness: Building a Model for Systemic Lupus Erythematosus (SLE) with "Noisy Labeling" of Data. AMIA (2018)
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah
Improving Palliative Care with Deep Learning. CoRR (2017)
Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah
Improving palliative care with deep learning. BIBM (2017)
Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng
Neural Language Correction with Character-Based Attention. CoRR (2016)