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Anand Avati
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2020 – today
- 2022
- [b1]Anand Avati:
AI-enabled palliative care : from algorithms to clinical deployment. Stanford University, USA, 2022 - 2021
- [j4]Kenneth Jung, Sehj Kashyap, Anand Avati, Stephanie Harman
, Heather Shaw, Ron C. Li
A framework for making predictive models useful in practice. J. Am. Medical Informatics Assoc. 28(6): 1149-1158 (2021) - [j3]Michael Ko
Improving hospital readmission prediction using individualized utility analysis. J. Biomed. Informatics 119: 103826 (2021) - [i6]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 abs/2107.08189 (2021) - 2020
- [c5]Tony Duan, Anand Avati, Daisy Yi Ding, Khanh K. Thai, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler:
NGBoost: Natural Gradient Boosting for Probabilistic Prediction. ICML 2020: 2690-2700
2010 – 2019
- 2019
- [j2]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): 61-65 (2019) - [c4]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: 1909-1916 - [c3]Anand Avati, Tony Duan, Sharon Zhou, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng:
Countdown Regression: Sharp and Calibrated Survival Predictions. UAI 2019: 145-155 - [i5]Tony Duan, Anand Avati, Daisy Yi Ding, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler:
NGBoost: Natural Gradient Boosting for Probabilistic Prediction. CoRR abs/1910.03225 (2019) - 2018
- [j1]Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing
Improving palliative care with deep learning. BMC Medical Informatics Decis. Mak. 18(S-4): 55-64 (2018) - [c2]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 - [i4]Anand Avati, Tony Duan, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng:
Countdown Regression: Sharp and Calibrated Survival Predictions. CoRR abs/1806.08324 (2018) - [i3]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 abs/1812.00371 (2018) - 2017
- [c1]Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah:
Improving palliative care with deep learning. BIBM 2017: 311-316 - [i2]Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah:
Improving Palliative Care with Deep Learning. CoRR abs/1711.06402 (2017) - 2016
- [i1]Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng:
Neural Language Correction with Character-Based Attention. CoRR abs/1603.09727 (2016)
Coauthor Index
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