Shamim Nemati

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 47

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Anwesh Mohanty, Supreeth P. Shashikumar, Jonathan Y. Lam, Shamim Nemati
Improving Prediction of Need for Mechanical Ventilation using Cross-Attention. CoRR (2024)
Ayse S. Cakmak, Erik Reinertsen, Shamim Nemati, Gari D. Clifford
Benchmarking changepoint detection algorithms on cardiac time series. CoRR (2024)
Aaron Boussina, Supreeth P. Shashikumar, Atul Malhotra, Robert L. Owens, Robert El-Kareh, Christopher A. Longhurst, Kimberly Quintero, Allison Donahue, Theodore C. Chan, Shamim Nemati, Gabriel Wardi
Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival. npj Digit. Medicine 7 (1) (2024)
Aaron Boussina, Supreeth P. Shashikumar, Atul Malhotra, Robert L. Owens, Robert El-Kareh, Christopher A. Longhurst, Kimberly Quintero, Allison Donahue, Theodore C. Chan, Shamim Nemati, Gabriel Wardi
Impact of a deep learning sepsis prediction model on quality of care and survival. npj Digit. Medicine 7 (1) (2024)
Jonathan Y. Lam, John T. Kanegaye, Ellen Xu, Michael A. Gardiner, Jane C. Burns, Shamim Nemati, Adriana H. Tremoulet
A Deep Learning Framework for Image-Based Screening of Kawasaki Disease. EMBC (2023)
Supreeth P. Shashikumar, Fatemeh Amrollahi, Shamim Nemati
Unsupervised Detection and Correction of Model Calibration Shift at Test-Time. EMBC (2023)
Aaron Boussina, Supreeth P. Shashikumar, Fatemeh Amrollahi, Hayden Pour, Michael A. Hogarth, Shamim Nemati
Development & Deployment of a Real-time Healthcare Predictive Analytics Platform. EMBC (2023)
Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Aaron Boussina, Haben Yhdego, Arshia Nayebnazar, Nathan Yung, Gabriel Wardi, Shamim Nemati
Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data. EMBC (2023)
Chao Yu, Jiming Liu, Shamim Nemati, Guosheng Yin
Reinforcement Learning in Healthcare: A Survey. ACM Comput. Surv. 55 (2) (2023)
Jejo D. Koola, David Laub, Shamim Nemati, Robert El-Kareh
Identifying Diagnostic Opportunities Using Clinical Trajectories. AMIA (2022)
Archil K. Srivastava, Supreeth P. Shashikumar, Shamim Nemati
A Comparison of Uncertainty Estimation Methods for Deep Learning-based Clinical Risk Scores. AMIA (2022)
Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Angela Meier, Lucila Ohno-Machado, Shamim Nemati, Gabriel Wardi
Inclusion of social determinants of health improves sepsis readmission prediction models. J. Am. Medical Informatics Assoc. 29 (7) (2022)
Jonathan Y. Lam, Andrew Richardson, Adriana Tremoulet, John Kanegaye, Chisato Shimizu, Nicole Stadnick, Jane C. Burns, Shamim Nemati, Michael Gardiner
Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease. AMIA (2022)
Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford
An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. CoRR (2021)
Supreeth P. Shashikumar, Gabriel Wardi, Atul Malhotra, Shamim Nemati
Artificial intelligence sepsis prediction algorithm learns to say "I don't know". npj Digit. Medicine 4 (2021)
Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati
DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis. Artif. Intell. Medicine 113 (2021)
Azade Tabaie, Evan W. Orenstein, Shamim Nemati, Rajit K. Basu, Swaminathan Kandaswamy, Gari D. Clifford, Rishikesan Kamaleswaran
Predicting presumed serious infection among hospitalized children on central venous lines with machine learning. Comput. Biol. Medicine 132 (2021)
Zifan Jiang, Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati, Gari D. Clifford
Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions. IEEE Trans. Biomed. Eng. 68 (2) (2021)
Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Pradeeban Kathiravelu, Ashish Sharma, Shamim Nemati
AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production. EMBC (2020)
Sahar Harati, Andrea Crowell, Yijian Huang, Helen S. Mayberg, Shamim Nemati
Classifying Depression Severity in Recovery From Major Depressive Disorder via Dynamic Facial Features. IEEE J. Biomed. Health Informatics 24 (3) (2020)
Sally L. Baxter, Adam R. Klie, Bharanidharan Radha Saseendrakumar, Gordon Y. Ye, Michael A. Hogarth, Shamim Nemati
Predicting Mortality in Critical Care Patients with Fungemia Using Structured and Unstructured Data. EMBC (2020)
Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati
Addressing the Credit Assignment Problem in Treatment Outcome Prediction Using Temporal DifferenceLearning. PSB (2020)
Fatemeh Amrollahi, Supreeth P. Shashikumar, Fereshteh Razmi, Shamim Nemati
Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis. AMIA (2020)
Russell J. Bradford, Christopher J. Sangwin, Supreeth P. Shashikumar, Shamim Nemati
Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care? CoRR (2019)
Chao Yu, Jiming Liu, Shamim Nemati
Reinforcement Learning in Healthcare: A Survey. CoRR (2019)
Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati
DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis. CoRR (2019)
Azade Tabaie, Shamim Nemati, Jason Allen, Charlotte Chung, Flavia Queiroga, Won-Jun Kuk, Adam Prater
Assessing Contribution of Higher Order Clinical Risk Factors to Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients. AMIA (2019)
Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford
Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. CinC (2019)
Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati
Depression Severity Classification from Speech Emotion. EMBC (2018)
Azade Tabaie, Falgun H. Chokshi, Andre L. Holder, Shamim Nemati
Doubly-Robust Estimation of Effect of Imaging Resource Utilization on Discharge Decisions in Emergency Departments. EMBC (2018)
Sapoonjyoti Duttaduwarah, Ganesh R. Iyer, Shamim Nemati, Ashish Sharma
DataScope - Enabling Scientific Mashups for Data Exploration, Hypothesis Generation, and Visual Analytics from Large Biomedical and Clinical Datasets. AMIA (2018)
Mohammad M. Ghassemi, Tuka Al Hanai, Jesse Daniel Raffa, Roger G. Mark, Shamim Nemati, Falgun H. Chokshi
How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization. EMBC (2018)
Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. KDD (2018)
Li-Wei H. Lehman, Roger G. Mark, Shamim Nemati
A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series. IEEE J. Biomed. Health Informatics 22 (1) (2018)
Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. CoRR (2018)
Joel R. Henry, Dennis Lynch, Jeff Mals, Supreeth P. Shashikumar, Andre L. Holder, Ashish Sharma, Shamim Nemati
A FHIR-Enabled Streaming Sepsis Prediction System for ICUs. EMBC (2018)
Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati
Personalized Medication Dosing Using Volatile Data Streams. AAAI Workshops (2018)
Rongmei Lin, Matthew D. Stanley, Mohammad M. Ghassemi, Shamim Nemati
A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU. EMBC (2018)
Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). ICDE (2017)
Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. IEEE Trans. Knowl. Data Eng. 29 (1) (2017)
Supreeth Prajwal Shashikumar, Amit J. Shah, Qiao Li, Gari D. Clifford, Shamim Nemati
A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology. BHI (2017)
Lana X. Garmire, Stephen V. Gliske, Quynh C. Nguyen, Jonathan H. Chen, Shamim Nemati, John D. Van Horn, Jason H. Moore, Carol Shreffler, Michelle Dunn
The Training of Next Generation Data Scientists in Biomedicine. PSB (2017)
Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David A. Clifton, Gari D. Clifford
Machine Learning and Decision Support in Critical Care. Proc. IEEE 104 (2) (2016)
Sahar Harati, Andrea Crowell, Helen S. Mayberg, Jun Kong, Shamim Nemati
Discriminating clinical phases of recovery from major depressive disorder using the dynamics of facial expression. EMBC (2016)
Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. CoRR (2016)
Shamim Nemati, Mohammad M. Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit J. Shah, Gari D. Clifford
Monitoring and detecting atrial fibrillation using wearable technology. EMBC (2016)
Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford
Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach. EMBC (2016)
Li-Wei H. Lehman, Ryan P. Adams, Louis Mayaud, George B. Moody, Atul Malhotra, Roger G. Mark, Shamim Nemati
A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction. IEEE J. Biomed. Health Informatics 19 (3) (2015)
Li-Wei H. Lehman, Shamim Nemati, Roger G. Mark
Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time Series. CinC (2015)
Julien Oster, Joachim Behar, Omid Sayadi, Shamim Nemati, Alistair E. W. Johnson, Gari D. Clifford
Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters. IEEE Trans. Biomed. Eng. 62 (9) (2015)
Li-Wei H. Lehman, Mohammad M. Ghassemi, Jasper Snoek, Shamim Nemati
Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach. CinC (2015)
Mohammad Mahdi Ghassemi, Roger G. Mark, Shamim Nemati
A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical Notes. CinC (2015)
Shamim Nemati, Mohammad M. Ghassemi
A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series. IEEE BigData (2014)
Li-Wei H. Lehman, Shamim Nemati, George B. Moody, Thomas Heldt, Roger G. Mark
Uncovering Clinical Significance of Vital Sign Dynamics in Critical Care. CinC (2014)
Mohammad M. Ghassemi, Li-Wei H. Lehman, Jasper Snoek, Shamim Nemati
Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy. CinC (2014)
Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams
Learning outcome-discriminative dynamics in multivariate physiological cohort time series. EMBC (2013)
Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, George B. Moody, Atul Malhotra, Roger G. Mark
Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series. EMBC (2013)
Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams, Atul Malhotra
Discovering shared cardiovascular dynamics within a patient cohort. EMBC (2012)
Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, Roger G. Mark
Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU. EMBC (2012)
Shamim Nemati, Omar Abdala, Violeta Monasterio, Susie Yim-Yeh, Atul Malhotra, Gari D. Clifford
A Nonparametric Surrogate-Based Test of Significance for T-Wave Alternans Detection. IEEE Trans. Biomed. Eng. 58 (5) (2011)
Shamim Nemati, Atul Malhotra, Gari D. Clifford
Data Fusion for Improved Respiration Rate Estimation. EURASIP J. Adv. Signal Process. 2010 (2010)
Mark B. Yeary, Shamim Nemati, Tian-You Yu, Yadong Wang, Yan Zhai
A Support-Vector-Machine-Based Approach to RF Sensor Spectral Signature Classifications. IEEE Trans. Instrum. Meas. 58 (1) (2009)
Mark Yeary, Shamim Nemati, Tian-You Yu, Yadong Wang
Tornadic Time-Series Detection Using Eigen Analysis and a Machine Intelligence-Based Approach. IEEE Geosci. Remote. Sens. Lett. 4 (3) (2007)
Yan Zhai, Mark B. Yeary, Jean-Charles Noyer, Joseph P. Havlicek, Shamim Nemati, Patrick Lanvin
Visual Target Tracking using Improved and Computationally Efficient Particle Filtering. ICIP (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shamim Nemati