Search Results - "Avati, Anand"

Improving palliative care with deep learning by Avati, Anand, Jung, Kenneth, Harman, Stephanie, Downing, Lance, Ng, Andrew, Shah, Nigam H

“…Access to palliative care is a key quality metric which most healthcare organizations strive to improve. The primary challenges to increasing palliative care…”
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Automated and flexible identification of complex disease: building a model for systemic lupus erythematosus using noisy labeling by Murray, Sara G, Avati, Anand, Schmajuk, Gabriela, Yazdany, Jinoos

“…Abstract Accurate and efficient identification of complex chronic conditions in the electronic health record (EHR) is an important but challenging task that…”
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A framework for making predictive models useful in practice by Jung, Kenneth, Kashyap, Sehj, Avati, Anand, Harman, Stephanie, Shaw, Heather, Li, Ron, Smith, Margaret, Shum, Kenny, Javitz, Jacob, Vetteth, Yohan, Seto, Tina, Bagley, Steven C, Shah, Nigam H

“…Abstract Objective To analyze the impact of factors in healthcare delivery on the net benefit of triggering an Advanced Care Planning (ACP) workflow based on…”
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Improving hospital readmission prediction using individualized utility analysis by Ko, Michael, Chen, Emma, Agrawal, Ashwin, Rajpurkar, Pranav, Avati, Anand, Ng, Andrew, Basu, Sanjay, Shah, Nigam H.

“…[Display omitted] •ML models for allocating interventions are selected based on discriminative ability.•Model usefulness should be considered when using models…”
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Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands by Irvin, Jeremy, Zhou, Sharon, McNicol, Gavin, Lu, Fred, Liu, Vincent, Fluet-Chouinard, Etienne, Ouyang, Zutao, Knox, Sara Helen, Lucas-Moffat, Antje, Trotta, Carlo, Papale, Dario, Vitale, Domenico, Mammarella, Ivan, Alekseychik, Pavel, Aurela, Mika, Avati, Anand, Baldocchi, Dennis, Bansal, Sheel, Bohrer, Gil, Campbell, David I, Chen, Jiquan, Chu, Housen, Dalmagro, Higo J, Delwiche, Kyle B, Desai, Ankur R, Euskirchen, Eugenie, Feron, Sarah, Goeckede, Mathias, Heimann, Martin, Helbig, Manuel, Helfter, Carole, Hemes, Kyle S, Hirano, Takashi, Iwata, Hiroki, Jurasinski, Gerald, Kalhori, Aram, Kondrich, Andrew, Lai, Derrick YF, Lohila, Annalea, Malhotra, Avni, Merbold, Lutz, Mitra, Bhaskar, Ng, Andrew, Nilsson, Mats B, Noormets, Asko, Peichl, Matthias, Rey-Sanchez, A. Camilo, Richardson, Andrew D, Runkle, Benjamin RK, Schäfer, Karina VR, Sonnentag, Oliver, Stuart-Haëntjens, Ellen, Sturtevant, Cove, Ueyama, Masahito, Valach, Alex C, Vargas, Rodrigo, Vourlitis, George L, Ward, Eric J, Wong, Guan Xhuan, Zona, Donatella, Alberto, Ma. Carmelita R, Billesbach, David P, Celis, Gerardo, Dolman, Han, Friborg, Thomas, Fuchs, Kathrin, Gogo, Sébastien, Gondwe, Mangaliso J, Goodrich, Jordan P, Gottschalk, Pia, Hörtnagl, Lukas, Jacotot, Adrien, Koebsch, Franziska, Kasak, Kuno, Maier, Regine, Morin, Timothy H, Nemitz, Eiko, Oechel, Walter C, Oikawa, Patricia Y, Ono, Keisuke, Sachs, Torsten, Sakabe, Ayaka, Schuur, Edward A, Shortt, Robert, Sullivan, Ryan C, Szutu, Daphne J, Tuittila, Eeva-Stiina, Varlagin, Andrej, Verfaillie, Joeseph G, Wille, Christian, Windham-Myers, Lisamarie, Poulter, Benjamin, Jackson, Robert B

“…•We evaluate methane flux gap-filling methods across 17 boreal-to-tropical wetlands•New methods for generating realistic artificial gaps and uncertainties are…”
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AI-Enabled Palliative Care: From Algorithms To Clinical Deployment by Avati, Anand Vishweswaran

“…Healthcare is one of the most promising application areas for Artificial Intelligence (AI) to have a positive impact on society. There has been impressive…”
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Improving palliative care with deep learning by Avati, Anand, Jung, Kenneth, Harman, Stephanie, Downing, Lance, Ng, Andrew, Shah, Nigam H.

“…Improving the quality of end-of-life care for hospitalized patients is a priority for healthcare organizations. Studies have shown that physicians tend to…”
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CRUDE: Calibrating Regression Uncertainty Distributions Empirically by Zelikman, Eric, Healy, Christopher, Zhou, Sharon, Avati, Anand

“…Calibrated uncertainty estimates in machine learning are crucial to many fields such as autonomous vehicles, medicine, and weather and climate forecasting…”
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BEDS-Bench: Behavior of EHR-models under Distributional Shift--A Benchmark by Avati, Anand, Seneviratne, Martin, Xue, Emily, Xu, Zhen, Lakshminarayanan, Balaji, Dai, Andrew M

“…Machine learning has recently demonstrated impressive progress in predictive accuracy across a wide array of tasks. Most ML approaches focus on generalization…”
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Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models by Zelikman, Eric, Zhou, Sharon, Irvin, Jeremy, Raterink, Cooper, Sheng, Hao, Avati, Anand, Kelly, Jack, Rajagopal, Ram, Ng, Andrew Y, Gagne, David

“…Advancing probabilistic solar forecasting methods is essential to supporting the integration of solar energy into the electricity grid. In this work, we…”
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NGBoost: Natural Gradient Boosting for Probabilistic Prediction by Duan, Tony, Avati, Anand, Ding, Daisy Yi, Thai, Khanh K, Basu, Sanjay, Ng, Andrew Y, Schuler, Alejandro

“…We present Natural Gradient Boosting (NGBoost), an algorithm for generic probabilistic prediction via gradient boosting. Typical regression models return a…”
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Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning by Voisin, Maxime, Shen, Yichen, Aliamiri, Alireza, Avati, Anand, Hannun, Awni, Ng, Andrew

“…We develop an algorithm that accurately detects Atrial Fibrillation (AF) episodes from photoplethysmograms (PPG) recorded in ambulatory free-living conditions…”
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Countdown Regression: Sharp and Calibrated Survival Predictions by Avati, Anand, Duan, Tony, Zhou, Sharon, Jung, Kenneth, Shah, Nigam H, Ng, Andrew

“…Probabilistic survival predictions from models trained with Maximum Likelihood Estimation (MLE) can have high, and sometimes unacceptably high variance. The…”
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Improving Palliative Care with Deep Learning by Avati, Anand, Jung, Kenneth, Harman, Stephanie, Downing, Lance, Ng, Andrew, Shah, Nigam H

“…Improving the quality of end-of-life care for hospitalized patients is a priority for healthcare organizations. Studies have shown that physicians tend to…”
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Predicting Inpatient Discharge Prioritization With Electronic Health Records by Avati, Anand, Pfohl, Stephen, Lin, Chris, Nguyen, Thao, Zhang, Meng, Hwang, Philip, Wetstone, Jessica, Jung, Kenneth, Ng, Andrew, Shah, Nigam H

“…Identifying patients who will be discharged within 24 hours can improve hospital resource management and quality of care. We studied this problem using eight…”
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Neural Language Correction with Character-Based Attention by Xie, Ziang, Avati, Anand, Arivazhagan, Naveen, Jurafsky, Dan, Ng, Andrew Y

“…Natural language correction has the potential to help language learners improve their writing skills. While approaches with separate classifiers for different…”
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