Shamim Nemati - RankMe

72 papers A* 2B 1C 1Misc 8Journal 29Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive Test-Time Training for Predicting Need for Invasive Mechanical Ventilation in Multi-Center Cohorts. CoRR Xiaolei Lu, Shamim Nemati
2025	J	`jnl`	Development and prospective implementation of a large language model based system for early sepsis prediction. npj Digit. Medicine Supreeth P. Shashikumar, Sina Mohammadi, Rishivardhan Krishnamoorthy, Avi Patel, Gabriel Wardi, Joseph C. Ahn, Karandeep Singh, Eliah Aronoff Spencer, Shamim Nemati
2025	—	`conf`	Multi-VentNet: Multimodal Fusion Framework for Predicting Need for Mechanical Ventilation. ISBI Ye Sel Lee, Xiaolei Lu, Michael Miller, Jonathan Y. Lam, Supreeth P. Shashikumar, Shamim Nemati
2025	C	`conf`	Photoplethysmography Signals and Their Correlation with Peripheral Artery Disease. BSN Ava J. Fascetti, Mustafa H. Naguib, Elsie G. Ross, Chris Longhurst, Pam R. Taub, Shamim Nemati, Edward J. Wang, Mattheus Ramsis
2024	J	`jnl`	Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival. npj Digit. Medicine 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
2024	J	`jnl`	Benchmarking changepoint detection algorithms on cardiac time series. CoRR Ayse S. Cakmak, Erik Reinertsen, Shamim Nemati, Gari D. Clifford
2024	—	`conf`	Development of a Voice-Enabled Automated Sleep Survey System. EMBC Yang Qiu, Anwesh Mohanty, Robert L. Owens, Shamim Nemati
2024	J	`jnl`	Impact of a deep learning sepsis prediction model on quality of care and survival. npj Digit. Medicine 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
2024	J	`jnl`	Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction. J. Am. Medical Informatics Assoc. Vishal Nagarajan, Supreeth Prajwal Shashikumar, Atul Malhotra, Shamim Nemati, Gabriel Wardi
2024	—	`conf`	Improving Prediction of Need for Mechanical Ventilation using Cross-Attention. EMBC Anwesh Mohanty, Supreeth P. Shashikumar, Jonathan Y. Lam, Shamim Nemati
2024	J	`jnl`	Improving Prediction of Need for Mechanical Ventilation using Cross-Attention. CoRR Anwesh Mohanty, Supreeth P. Shashikumar, Jonathan Y. Lam, Shamim Nemati
2023	—	`conf`	A Deep Learning Framework for Image-Based Screening of Kawasaki Disease. EMBC Jonathan Y. Lam, John T. Kanegaye, Ellen Xu, Michael A. Gardiner, Jane C. Burns, Shamim Nemati, Adriana H. Tremoulet
2023	—	`conf`	Development & Deployment of a Real-time Healthcare Predictive Analytics Platform. EMBC Aaron Boussina, Supreeth P. Shashikumar, Fatemeh Amrollahi, Hayden Pour, Michael A. Hogarth, Shamim Nemati
2023	—	`conf`	Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data. EMBC Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Aaron Boussina, Haben Yhdego, Arshia Nayebnazar, Nathan Yung, Gabriel Wardi, Shamim Nemati
2023	J	`jnl`	Reinforcement Learning in Healthcare: A Survey. ACM Comput. Surv. Chao Yu, Jiming Liu, Shamim Nemati, Guosheng Yin
2023	—	`conf`	Unsupervised Detection and Correction of Model Calibration Shift at Test-Time. EMBC Supreeth P. Shashikumar, Fatemeh Amrollahi, Shamim Nemati
2022	Misc	`conf`	A Comparison of Uncertainty Estimation Methods for Deep Learning-based Clinical Risk Scores. AMIA Archil K. Srivastava, Supreeth P. Shashikumar, Shamim Nemati
2022	Misc	`conf`	Identifying Diagnostic Opportunities Using Clinical Trajectories. AMIA Jejo D. Koola, David Laub, Shamim Nemati, Robert El-Kareh
2022	Misc	`conf`	Implementation of KIDMATCH: A Clinical Decision Support Tool for Diagnosing Pediatric Patients with Multisystem Inflammatory Syndrome and Kawasaki Disease. AMIA Jonathan Y. Lam, Andrew Richardson, Adriana H. Tremoulet, John Kanegaye, Chisato Shimizu, Nicole Stadnick, Jane C. Burns, Shamim Nemati, Michael A. Gardiner
2022	J	`jnl`	Inclusion of social determinants of health improves sepsis readmission prediction models. J. Am. Medical Informatics Assoc. Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Angela Meier, Lucila Ohno-Machado, Shamim Nemati, Gabriel Wardi
2021	J	`jnl`	An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms. CoRR Salman Seyedi, Li Xiong, Shamim Nemati, Gari D. Clifford
2021	J	`jnl`	Artificial intelligence sepsis prediction algorithm learns to say "I don't know". npj Digit. Medicine Supreeth P. Shashikumar, Gabriel Wardi, Atul Malhotra, Shamim Nemati
2021	J	`jnl`	Classifying Major Depressive Disorder and Response to Deep Brain Stimulation Over Time by Analyzing Facial Expressions. IEEE Trans. Biomed. Eng. Zifan Jiang, Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati, Gari D. Clifford
2021	J	`jnl`	DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis. Artif. Intell. Medicine Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati
2021	J	`jnl`	Predicting presumed serious infection among hospitalized children on central venous lines with machine learning. Comput. Biol. Medicine Azade Tabaie, Evan W. Orenstein, Shamim Nemati, Rajit K. Basu, Swaminathan Kandaswamy, Gari D. Clifford, Rishikesan Kamaleswaran
2020	—	`conf`	AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production. EMBC Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Pradeeban Kathiravelu, Ashish Sharma, Shamim Nemati
2020	Misc	`conf`	Addressing the Credit Assignment Problem in Treatment Outcome Prediction Using Temporal DifferenceLearning. PSB Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati
2020	J	`jnl`	Classifying Depression Severity in Recovery From Major Depressive Disorder via Dynamic Facial Features. IEEE J. Biomed. Health Informatics Sahar Harati, Andrea Crowell, Yijian Huang, Helen S. Mayberg, Shamim Nemati
2020	Misc	`conf`	Contextual Embeddings from Clinical Notes Improves Prediction of Sepsis. AMIA Fatemeh Amrollahi, Supreeth P. Shashikumar, Fereshteh Razmi, Shamim Nemati
2020	—	`conf`	Predicting Mortality in Critical Care Patients with Fungemia Using Structured and Unstructured Data. EMBC Sally L. Baxter, Adam R. Klie, Bharanidharan Radha Saseendrakumar, Gordon Y. Ye, Michael A. Hogarth, Shamim Nemati
2019	Misc	`conf`	Assessing Contribution of Higher Order Clinical Risk Factors to Prediction of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients. AMIA Azade Tabaie, Shamim Nemati, Jason Allen, Charlotte Chung, Flavia Queiroga, Won-Jun Kuk, Adam Prater
2019	J	`jnl`	DeepAISE - An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis. CoRR Supreeth P. Shashikumar, Christopher Josef, Ashish Sharma, Shamim Nemati
2019	J	`jnl`	Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care? CoRR Russell J. Bradford, Christopher J. Sangwin, Supreeth P. Shashikumar, Shamim Nemati
2019	—	`conf`	Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. CinC Matthew A. Reyna, Christopher Josef, Salman Seyedi, Russell Jeter, Supreeth P. Shashikumar, M. Brandon Westover, Ashish Sharma, Shamim Nemati, Gari D. Clifford
2019	J	`jnl`	Reinforcement Learning in Healthcare: A Survey. CoRR Chao Yu, Jiming Liu, Shamim Nemati
2018	—	`conf`	A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU. EMBC Rongmei Lin, Matthew D. Stanley, Mohammad M. Ghassemi, Shamim Nemati
2018	—	`conf`	A FHIR-Enabled Streaming Sepsis Prediction System for ICUs. EMBC Joel R. Henry, Dennis Lynch, Jeff Mals, Supreeth P. Shashikumar, Andre L. Holder, Ashish Sharma, Shamim Nemati
2018	J	`jnl`	A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series. IEEE J. Biomed. Health Informatics Li-Wei H. Lehman, Roger G. Mark, Shamim Nemati
2018	Misc	`conf`	DataScope - Enabling Scientific Mashups for Data Exploration, Hypothesis Generation, and Visual Analytics from Large Biomedical and Clinical Datasets. AMIA Sapoonjyoti Duttaduwarah, Ganesh R. Iyer, Shamim Nemati, Ashish Sharma
2018	—	`conf`	Depression Severity Classification from Speech Emotion. EMBC Sahar Harati, Andrea Crowell, Helen S. Mayberg, Shamim Nemati
2018	A*	`conf`	Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. KDD Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati
2018	J	`jnl`	Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks. CoRR Supreeth Prajwal Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati
2018	—	`conf`	Doubly-Robust Estimation of Effect of Imaging Resource Utilization on Discharge Decisions in Emergency Departments. EMBC Azade Tabaie, Falgun H. Chokshi, Andre L. Holder, Shamim Nemati
2018	—	`conf`	How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization. EMBC Mohammad M. Ghassemi, Tuka Al Hanai, Jesse Daniel Raffa, Roger G. Mark, Shamim Nemati, Falgun H. Chokshi
2018	—	`conf`	Personalized Medication Dosing Using Volatile Data Streams. AAAI Workshops Mohammad M. Ghassemi, Tuka Al Hanai, M. Brandon Westover, Roger G. Mark, Shamim Nemati
2017	—	`conf`	A deep learning approach to monitoring and detecting atrial fibrillation using wearable technology. BHI Supreeth Prajwal Shashikumar, Amit J. Shah, Qiao Li, Gari D. Clifford, Shamim Nemati
2017	A*	`conf`	Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). ICDE Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
2017	J	`jnl`	Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. IEEE Trans. Knowl. Data Eng. Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
2017	Misc	`conf`	The Training of Next Generation Data Scientists in Biomedicine. PSB 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
2016	—	`conf`	Discriminating clinical phases of recovery from major depressive disorder using the dynamics of facial expression. EMBC Sahar Harati, Andrea Crowell, Helen S. Mayberg, Jun Kong, Shamim Nemati
2016	J	`jnl`	ICU Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes. CoRR Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha
2016	J	`jnl`	Machine Learning and Decision Support in Critical Care. Proc. IEEE Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati, Katherine E. Niehaus, David A. Clifton, Gari D. Clifford
2016	—	`conf`	Monitoring and detecting atrial fibrillation using wearable technology. EMBC Shamim Nemati, Mohammad M. Ghassemi, Vaidehi Ambai, Nino Isakadze, Oleksiy Levantsevych, Amit J. Shah, Gari D. Clifford
2016	—	`conf`	Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach. EMBC Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford
2015	J	`jnl`	A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction. IEEE J. Biomed. Health Informatics Li-Wei H. Lehman, Ryan P. Adams, Louis Mayaud, George B. Moody, Atul Malhotra, Roger G. Mark, Shamim Nemati
2015	—	`conf`	A Visualization of Evolving Clinical Sentiment Using Vector Representations of Clinical Notes. CinC Mohammad Mahdi Ghassemi, Roger G. Mark, Shamim Nemati
2015	—	`conf`	Hemodynamic Monitoring Using Switching Autoregressive Dynamics of Multivariate Vital Sign Time Series. CinC Li-Wei H. Lehman, Shamim Nemati, Roger G. Mark
2015	—	`conf`	Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach. CinC Li-Wei H. Lehman, Mohammad M. Ghassemi, Jasper Snoek, Shamim Nemati
2015	J	`jnl`	Semisupervised ECG Ventricular Beat Classification With Novelty Detection Based on Switching Kalman Filters. IEEE Trans. Biomed. Eng. Julien Oster, Joachim Behar, Omid Sayadi, Shamim Nemati, Alistair E. W. Johnson, Gari D. Clifford
2014	—	`conf`	A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series. IEEE BigData Shamim Nemati, Mohammad M. Ghassemi
2014	—	`conf`	Global Optimization Approaches for Parameter Tuning in Biomedical Signal Processing: A Focus of Multi-scale Entropy. CinC Mohammad M. Ghassemi, Li-Wei H. Lehman, Jasper Snoek, Shamim Nemati
2014	—	`conf`	Uncovering Clinical Significance of Vital Sign Dynamics in Critical Care. CinC Li-Wei H. Lehman, Shamim Nemati, George B. Moody, Thomas Heldt, Roger G. Mark
2013	—	`—`	Identifying evolving multivariate dynamics in individual and cohort time series, with application to physiological control systems. Shamim Nemati
2013	—	`conf`	Learning outcome-discriminative dynamics in multivariate physiological cohort time series. EMBC Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams
2013	—	`conf`	Tracking progression of patient state of health in critical care using inferred shared dynamics in physiological time series. EMBC Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, George B. Moody, Atul Malhotra, Roger G. Mark
2012	—	`conf`	Discovering shared cardiovascular dynamics within a patient cohort. EMBC Shamim Nemati, Li-Wei H. Lehman, Ryan P. Adams, Atul Malhotra
2012	—	`conf`	Discovering shared dynamics in physiological signals: Application to patient monitoring in ICU. EMBC Li-Wei H. Lehman, Shamim Nemati, Ryan P. Adams, Roger G. Mark
2011	J	`jnl`	A Nonparametric Surrogate-Based Test of Significance for T-Wave Alternans Detection. IEEE Trans. Biomed. Eng. Shamim Nemati, Omar Abdala, Violeta Monasterio, Susie Yim-Yeh, Atul Malhotra, Gari D. Clifford
2010	J	`jnl`	Data Fusion for Improved Respiration Rate Estimation. EURASIP J. Adv. Signal Process. Shamim Nemati, Atul Malhotra, Gari D. Clifford
2009	J	`jnl`	A Support-Vector-Machine-Based Approach to RF Sensor Spectral Signature Classifications. IEEE Trans. Instrum. Meas. Mark B. Yeary, Shamim Nemati, Tian-You Yu, Yadong Wang, Yan Zhai
2007	J	`jnl`	Tornadic Time-Series Detection Using Eigen Analysis and a Machine Intelligence-Based Approach. IEEE Geosci. Remote. Sens. Lett. Mark Yeary, Shamim Nemati, Tian-You Yu, Yadong Wang
2006	B	`conf`	Visual Target Tracking using Improved and Computationally Efficient Particle Filtering. ICIP Yan Zhai, Mark B. Yeary, Jean-Charles Noyer, Joseph P. Havlicek, Shamim Nemati, Patrick Lanvin