Anand Avati - RankMe

16 papers A* 2A 1Misc 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2022	—	`—`	AI-enabled palliative care : from algorithms to clinical deployment. Anand Avati
2021	J	`jnl`	A framework for making predictive models useful in practice. J. Am. Medical Informatics Assoc. 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
2021	J	`jnl`	BEDS-Bench: Behavior of EHR-models under Distributional Shift-A Benchmark. CoRR Anand Avati, Martin Seneviratne, Emily Xue, Zhen Xu, Balaji Lakshminarayanan, Andrew M. Dai
2021	J	`jnl`	Improving hospital readmission prediction using individualized utility analysis. J. Biomed. Informatics Michael Ko, Emma Chen, Ashwin Agrawal, Pranav Rajpurkar, Anand Avati, Andrew Yan-Tak Ng, Sanjay Basu, Nigam H. Shah
2020	A*	`conf`	NGBoost: Natural Gradient Boosting for Probabilistic Prediction. ICML Tony Duan, Anand Avati, Daisy Yi Ding, Khanh K. Thai, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler
2019	A*	`conf`	Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning. KDD Yichen Shen, Maxime Voisin, Alireza Aliamiri, Anand Avati, Awni Y. Hannun, Andrew Y. Ng
2019	J	`jnl`	Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling. J. Am. Medical Informatics Assoc. Sara G. Murray, Anand Avati, Gabriela Schmajuk, Jinoos Yazdany
2019	A	`conf`	Countdown Regression: Sharp and Calibrated Survival Predictions. UAI Anand Avati, Tony Duan, Sharon Zhou, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng
2019	J	`jnl`	NGBoost: Natural Gradient Boosting for Probabilistic Prediction. CoRR Tony Duan, Anand Avati, Daisy Yi Ding, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler
2018	Misc	`conf`	Capturing Heterogeneity in Complex Chronic Illness: Building a Model for Systemic Lupus Erythematosus (SLE) with "Noisy Labeling" of Data. AMIA Sara G. Murray, Anand Avati, Gabriela Schmajuk, Jinoos Yazdany
2018	J	`jnl`	Countdown Regression: Sharp and Calibrated Survival Predictions. CoRR Anand Avati, Tony Duan, Kenneth Jung, Nigam H. Shah, Andrew Y. Ng
2018	J	`jnl`	Improving palliative care with deep learning. BMC Medical Informatics Decis. Mak. Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah
2018	J	`jnl`	Predicting Inpatient Discharge Prioritization With Electronic Health Records. CoRR Anand Avati, Stephen Pfohl, Chris Lin, Thao Nguyen, Meng Zhang, Philip Hwang, Jessica Wetstone, Kenneth Jung, Andrew Y. Ng, Nigam H. Shah
2017	J	`jnl`	Improving Palliative Care with Deep Learning. CoRR Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah
2017	—	`conf`	Improving palliative care with deep learning. BIBM Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Y. Ng, Nigam H. Shah
2016	J	`jnl`	Neural Language Correction with Character-Based Attention. CoRR Ziang Xie, Anand Avati, Naveen Arivazhagan, Dan Jurafsky, Andrew Y. Ng