Mohammad M. Ghassemi

发表

A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series

Shamim Nemati, Mohammad M. Ghassemi, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Big Data for Critical Care with Cloud-based In-Memory Database

Roger G. Mark, Mohammad M. Ghassemi, Mengling Feng, 2014, AMIA.

An enhanced cerebral recovery index for coma prognostication following cardiac arrest

Emery N. Brown, Roger G. Mark, Patrick L. Purdon, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Machine Learning and Decision Support in Critical Care This paper discusses the issues of compartmentalization, corruption, and complexity involved in collection and preprocessing of critical care data.

Shamim Nemati, Mohammad M. Ghassemi, Alistair E. W. Johnson, 2016 .

Detecting Depression with Audio/Text Sequence Modeling of Interviews

James R. Glass, Mohammad M. Ghassemi, Tuka Al Hanai, 2018, INTERSPEECH.

Personalized Medication Dosing Using Volatile Data Streams

Shamim Nemati, Roger G. Mark, M. Brandon Westover, 2018, AAAI Workshops.

Patient prognosis from vital sign time series: Combining convolutional neural networks with a dynamical systems approach

Shamim Nemati, Jasper Snoek, Li-Wei H. Lehman, 2015, 2015 Computing in Cardiology Conference (CinC).

Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach

Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU

Shamim Nemati, Mohammad M. Ghassemi, Rongmei Lin, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

How is the Doctor Feeling? ICU Provider Sentiment is Associated with Diagnostic Imaging Utilization

Shamim Nemati, Roger G. Mark, Mohammad M. Ghassemi, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

An open-source tool for the transcription of paper-spreadsheet data: Code and supplemental materials available online: Https://github.com/deskool/images to spreadsheets

Emery N. Brown, Roger G. Mark, M. Brandon Westover, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Management and analytic of biomedical big data with cloud-based in-memory database and dynamic querying: a hands-on experience with real-world data

Roger G. Mark, Mohammad M. Ghassemi, Mengling Feng, 2014, KDD.

Big data and optimisation of treatment strategies

Shamim Nemati, Mohammad M. Ghassemi, 2016 .

Global optimization approaches for parameter tuning in biomedical signal processing: A focus on multi-scale entropy

Shamim Nemati, Jasper Snoek, Li-Wei H. Lehman, 2014, Computing in Cardiology 2014.

You Snooze, You Win: the PhysioNet/Computing in Cardiology Challenge 2018

Qiao Li, Li-Wei H. Lehman, Haoqi Sun, 2018, 2018 Computing in Cardiology Conference (CinC).

The effects of deep network topology on mortality prediction

Mohammad M. Ghassemi, Mengling Feng, Hao Du, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports

Mohammad M. Ghassemi, Armineh Nourbakhsh, Steven Pomerville, 2020, WSDM.

Machine Learning and Decision Support in Critical Care

Shamim Nemati, David A. Clifton, Mohammad M. Ghassemi, 2016, Proceedings of the IEEE.

Patient-Specific Sedation Management via Deep Reinforcement Learning

Mohammad M. Ghassemi, Tuka Alhanai, Niloufar Eghbali, 2021, Frontiers in Digital Health.

A data-driven approach to optimized medication dosing: a focus on heparin

Mohammad M. Ghassemi, Leo A. Celi, M. Ghassemi, 2014, Intensive Care Medicine.

Visualizing Evolving Clinical Sentiment Using Vector Representations of Clinical Notes and distributed stochastic neighbor embedding

Shamim Nemati, Roger G. Mark, Mohammad M. Ghassemi, 2015 .