Suchi Saria

Assistant Professor

20042020

Research output per year

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Research Output

2020

An Individualized, Data-Driven Digital Approach for Precision Behavior Change

Wongvibulsin, S., Martin, S. S., Saria, S., Zeger, S. L. & Murphy, S. A., May 1 2020, In : American Journal of Lifestyle Medicine. 14, 3, p. 289-293 5 p.

Research output: Contribution to journalReview article

Can you trust this prediction? Auditing pointwise reliability after learning

Schulam, P. & Saria, S., 2020.

Research output: Contribution to conferencePaper

From development to deployment: dataset shift, causality, and shift-stable models in health AI

Subbaswamy, A. & Saria, S., Apr 1 2020, In : Biostatistics (Oxford, England). 21, 2, p. 345-352 8 p.

Research output: Contribution to journalArticle

Preventing failures due to dataset shift: Learning predictive models that transport

Subbaswamy, A., Schulam, P. & Saria, S., 2020.

Research output: Contribution to conferencePaper

Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence

Bates, D. W., Auerbach, A., Schulam, P., Wright, A. & Saria, S., Jun 2 2020, In : Annals of internal medicine. 172, 11, p. S137-S144

Research output: Contribution to journalArticle

The Association between Neighborhood Socioeconomic Disadvantage and Readmissions for Patients Hospitalized with Sepsis

Galiatsatos, P., Follin, A., Alghanim, F., Sherry, M., Sylvester, C., Daniel, Y., Chanmugam, A., Townsend, J., Saria, S., Kind, A. J. & Chen, E., 2020, (Accepted/In press) In : Critical care medicine. p. 808-814 7 p.

Research output: Contribution to journalArticle

2019

Active learning for decision-making from imbalanced observational data

Sundin, I., Schulam, P., Siivola, E., Vehtari, A., Saria, S. & Kaski, S., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 10578-10587 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Author Correction: Do no harm: a roadmap for responsible machine learning for health care (Nature Medicine, (2019), 25, 9, (1337-1340), 10.1038/s41591-019-0548-6)

Wiens, J., Saria, S., Sendak, M., Ghassemi, M., Liu, V. X., Doshi-Velez, F., Jung, K., Heller, K., Kale, D., Saeed, M., Ossorio, P. N., Thadaney-Israni, S. & Goldenberg, A., Oct 1 2019, In : Nature medicine. 25, 10, 1 p.

Research output: Contribution to journalComment/debate

Open Access

Comparison of automated activity recognition to provider observations of patient mobility in the ICU

Rawat, N., Rao, V., Peven, M., Shrock, C., Reiter, A., Saria, S. & Ali, H., Jan 1 2019, In : Critical care medicine. 47, 9, p. 1232-1234 3 p.

Research output: Contribution to journalArticle

Do no harm: a roadmap for responsible machine learning for health care

Wiens, J., Saria, S., Sendak, M., Ghassemi, M., Liu, V. X., Doshi-Velez, F., Jung, K., Heller, K., Kale, D., Saeed, M., Ossorio, P. N., Thadaney-Israni, S. & Goldenberg, A., Jan 1 2019, (Accepted/In press) In : Nature medicine.

Research output: Contribution to journalArticle

Open Access

Learning models from data with measurement error: Tackling underreporting

Adams, R., Ji, Y., Wang, X. & Saria, S., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 95-104 10 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2018

Better medicine through machine learning: What’s real, and what’s artificial?

Saria, S., Butte, A. & Sheikh, A., 2018, In : PLoS medicine. 15, 12, e1002721.

Research output: Contribution to journalEditorial

Counterfactual normalization: Proactively addressing dataset shift using causal mechanisms

Subbaswamy, A. & Saria, S., Jan 1 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Silva, R., Globerson, A. & Globerson, A. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), Vol. 2. p. 947-957 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factors associated with physicians' prescriptions for rheumatoid arthritis drugs not filled by patients

Kan, H. J., Dyagilev, K., Schulam, P., Saria, S., Kharrazi, H., Bodycombe, D., Molta, C. T. & Curtis, J. R., May 2 2018, In : Arthritis Research and Therapy. 20, 1, 79.

Research output: Contribution to journalArticle

Individualized sepsis treatment using reinforcement learning

Saria, S., Nov 1 2018, In : Nature Medicine. 24, 11, p. 1641-1642 2 p.

Research output: Contribution to journalComment/debate

Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction

Soleimani, H., Hensman, J. & Saria, S., Aug 1 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 8, p. 1948-1963 16 p.

Research output: Contribution to journalArticle

Using smartphones and machine learning to quantify Parkinson disease severity the mobile Parkinson disease score

Zhan, A., Mohan, S., Tarolli, C., Schneider, R. B., Adams, J. L., Sharma, S., Elson, M. J., Spear, K. L., Glidden, A. M., Little, M. A., Terzis, A., Ray Dorsey, E. & Saria, S., Jul 2018, In : JAMA Neurology. 75, 7, p. 876-880 5 p.

Research output: Contribution to journalArticle

Why policymakers should care about “big data” in healthcare

Bates, D. W., Heitmueller, A., Kakad, M. & Saria, S., Jan 1 2018, (Accepted/In press) In : Health Policy and Technology.

Research output: Contribution to journalArticle

2017

Measuring Patient Mobility in the ICU Using a Novel Noninvasive Sensor

Ma, A. J., Rawat, N., Reiter, A., Shrock, C., Zhan, A., Stone, A., Rabiee, A., Griffin, S., Needham, D. & Saria, S., Apr 1 2017, In : Critical Care Medicine. 45, 4, p. 630-636 7 p.

Research output: Contribution to journalArticle

Reliable decision support using counterfactual models

Schulam, P. & Saria, S., Jan 1 2017, In : Advances in neural information processing systems. 2017-December, p. 1698-1709 12 p.

Research output: Contribution to journalConference article

Treatment-response models for counterfactual reasoning with continuous-time, continuous-valued interventions

Soleimani, H., Subbaswamy, A. & Saria, S., 2017, Uncertainty in Artificial Intelligence - Proceedings of the 33rd Conference, UAI 2017. AUAI Press Corvallis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2016

Correlation of preterm infant illness severity with placental histology

Chisholm, K. M., Heerema-Mckenney, A., Tian, L., Rajani, A. K., Saria, S., Koller, D. & Penn, A. A., Mar 1 2016, In : Placenta. 39, p. 61-69 9 p.

Research output: Contribution to journalArticle

Integrative analysis using coupled latent variable models for individualizing prognoses

Schulam, P. & Saria, S., Dec 1 2016, In : Journal of Machine Learning Research. 17, p. 1-35 35 p.

Research output: Contribution to journalArticle

Learning (predictive) risk scores in the presence of censoring due to interventions

Dyagilev, K. & Saria, S., Mar 1 2016, In : Machine Learning. 102, 3, p. 323-348 26 p.

Research output: Contribution to journalArticle

Process monitoring in the intensive care unit: Assessing patient mobility through activity analysis with a non-invasive mobility sensor

Reiter, A., Ma, A., Rawat, N., Shrock, C. & Saria, S., 2016, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Springer Verlag, Vol. 9900 LNCS. p. 482-490 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9900 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Trading-off cost of deployment versus accuracy in learning predictive models

Robinson, D. P. & Saria, S., 2016, In : IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 1974-1982 9 p.

Research output: Contribution to journalArticle

2015

A framework for individualizing predictions of disease trajectories by exploiting multi-resolution structure

Schulam, P. & Saria, S., 2015, Advances in Neural Information Processing Systems. Neural information processing systems foundation, Vol. 2015-January. p. 748-756 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

A Probabilistic Graphical Model for Individualizing Prognosis in Chronic, Complex Diseases

Schulam, P. & Saria, S., Jan 1 2015, In : AMIA ... Annual Symposium proceedings. AMIA Symposium. 2015, p. 143-144 2 p.

Research output: Contribution to journalArticle

A targeted real-time early warning score (TREWScore) for septic shock

Henry, K. E., Hager, D. N., Pronovost, P. J. & Saria, S., Aug 5 2015, In : Science translational medicine. 7, 299, 299ra122.

Research output: Contribution to journalArticle

Clustering longitudinal clinical marker trajectories from electronic health data: Applications to phenotyping and endotype discovery

Schulam, P., Wigley, F. & Saria, S., Jun 1 2015, Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015. AI Access Foundation, p. 2956-2964 9 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 4).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dissecting an Online Intervention for Cancer Survivors: Four Exploratory Analyses of Internet Engagement and Its Effects on Health Status and Health Behaviors

Chen, Z., Koh, P. W., Ritter, P. L., Lorig, K., Bantum, E. OC. & Saria, S., Feb 17 2015, In : Health Education and Behavior. 42, 1, p. 32-45 14 p.

Research output: Contribution to journalArticle

Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons

Dyagilev, K. & Saria, S., Jan 1 2015, In : AMIA ... Annual Symposium proceedings. AMIA Symposium. 2015, p. 1890-1898 9 p.

Research output: Contribution to journalArticle

Subtyping: What It is and Its Role in Precision Medicine

Saria, S. & Goldenberg, A., Jul 1 2015, In : IEEE Intelligent Systems. 30, 4, p. 70-75 6 p., 7156005.

Research output: Contribution to journalArticle

2014

A $3 trillion challenge to computational scientists: Transforming healthcare delivery

Saria, S., Jul 1 2014, In : IEEE Intelligent Systems. 29, 4, p. 82-87 6 p., 6908959.

Research output: Contribution to journalArticle

Big data in health care: Using analytics to identify and manage high-risk and high-cost patients

Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A. & Escobar, G., 2014, In : Health Affairs. 33, 7, p. 1123-1131 9 p.

Research output: Contribution to journalArticle

Perinatal risk factors for severe injury in neonates treated with whole-body hypothermia for encephalopathy

Wayock, C. P., Meserole, R. L., Saria, S., Jennings, J. M., Huisman, T. A. G. M., Northington, F. J. & Graham, E. M., Jul 2014, In : American journal of obstetrics and gynecology. 211, 1, p. 41.e1-41.e8

Research output: Contribution to journalArticle

2013

Developing predictive models using electronic medical records: challenges and pitfalls.

Paxton, C., Niculescu-Mizil, A. & Saria, S., 2013, In : AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium. 2013, p. 1109-1115 7 p.

Research output: Contribution to journalArticle

Early detection of poor adherers to statins: Applying individualized surveillance to pay for performance

Zimolzak, A. J., Spettell, C. M., Fernandes, J., Fusaro, V. A., Palmer, N. P., Saria, S., Kohane, I. S., Jonikas, M. A. & Mandl, K. D., Nov 4 2013, In : PloS one. 8, 11, e79611.

Research output: Contribution to journalArticle

2011

Convex envelopes of complexity controlling penalties: The case against premature envelopment

Jojic, V., Saria, S. & Koller, D., Dec 1 2011, In : Journal of Machine Learning Research. 15, p. 399-406 8 p.

Research output: Contribution to journalConference article

Discovering deformable motifs in continuous time series data

Saria, S., Duchi, A. & Koller, D., Dec 1 2011, IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence. p. 1465-1471 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2010

Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes

Saria, S., McElvain, G., Rajani, A. K., Penn, A. A. & Koller, D. L., 2010, In : AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium. 2010, p. 712-716 5 p.

Research output: Contribution to journalArticle

Integration of early physiological responses predicts later illness severity in preterm infants

Saria, S., Rajani, A. K., Gould, J., Koller, D. & Penn, A. A., Sep 8 2010, In : Science translational medicine. 2, 48, 48ra65.

Research output: Contribution to journalArticle

2007

Reasoning at the right time granularity

Saria, S., Nodelman, U. & Koller, D., Dec 1 2007, Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007. p. 326-334 9 p. (Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2004

Probabilistic plan recognition in multiagent systems

Saria, S. & Mahadevan, S., Dec 1 2004, Proceedings of the 14th International Conference on Automated Planning and Scheduling, ICAPS 2004. Zilberstein, S., Koehler, J. & Koenig, S. (eds.). p. 287-296 10 p. (Proceedings of the 14th International Conference on Automated Planning and Scheduling, ICAPS 2004).

Research output: Chapter in Book/Report/Conference proceedingConference contribution