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Transition Icons for Time Series Visualization and Exploratory Analysis

Journal Article
Paul Nickerson, Raheleh Baharloo, Amal A Wanigatunga, Todd D Manini, Patrick J Tighe, Parisa Rashidi
IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 2, pp. 623-630
Publication year: 2018

A Quest for the Structure of Intra-and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time?

Preprint
Ebadi, Ashkan, Patrick J. Tighe, Lei Zheng, and Parisa Rashidi
arXiv preprint arXiv:1803.03359
Publication year: 2018

Activity and Circadian Rhythm of Sepsis Patients in the Intensive Care Unit

Conference Paper
Anis Davoudi, Duane B Corbett, Tezcan Ozrazgat-Baslanti, Azra Bihorac, Scott C Brakenridge, Todd M Manini, Parisa Rashidi
The IEEE Conference on Biomedical and Health Informatics (BHI)
Publication year: 2018

MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery

Journal Article
Azra Bihorac, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Amir Motaei, Mohcine Madkour, Panagote M Pardalos, Gloria Lipori, William R Hogan, Philip A Efron, Frederick Moore, Lyle L Moldawer, Daisy Zhe Wang, Charles E Hobson, Parisa Rashidi, Xiaolin Li, Petar Momcilovic
Annals of Surgery
Publication year: 2018

The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring

Preprint
Anis Davoudi, Kumar Rohit Malhotra, Benjamin Shickel, Scott Siegel, Seth Williams, Matthew Ruppert, Emel Bihorac, Tezcan Ozrazgat-Baslanti, Patrick J. Tighe, Azra Bihorac, Parisa Rashidi
arXiv:1804.10201
Publication year: 2018

Comparison of Gaussian Processes Methods to Linear methods for Imputation of Sparse Physiological Time Series

Conference Paper
Paul Nickerson, Raheleh Baharloo, Anis Davoudi, Azra Bihorac, Parisa Rashidi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'18), Honolulu, HI, USA.
Publication year: 2018

Increasing SOFA Score Granularity With Deep Learning

Abstract
Benjamin Shickel, Tyler Loftus, Tezcan Ozrazgat Baslanti, Azra Bihorac, Parisa Rashidi
Critical Care Medicine 46 (1), 794
Publication year: 2018

DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning

Preprint
Benjamin Shickel, Tyler J Loftus, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Azra Bihorac, Parisa Rashidi
arXiv preprint arXiv:1802.10238
Publication year: 2018

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

Journal Article
Benjamin Shickel, Patrick James Tighe, Azra Bihorac, Parisa Rashidi
IEEE Journal of Biomedical and Health Informatics
Publication year: 2018

Power-efficient real-time approach to non-wear time detection for smartwatches

Conference Paper
Matin Kheirkhahan, Hiranava Das, Manoj Battula, Anis Davoudi, Parisa Rashidi, Todd M Manini, Sanjay Ranka
In Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on, pp. 217-220. IEEE
Publication year: 2017

Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning

Preprint
Shickel, Benjamin, Martin Heesacker, Sherry Benton, and Parisa Rashidi
arXiv preprint arXiv:1708.01372
Publication year: 2017

DREAMS (Digital Rehabilitation Environment-Altering Medical System

Conference Paper
Marko Suvajdzic, Azra Bihorac, Parisa Rashidi
In Serious Games and Applications for Health (SeGAH), 2017 IEEE 5th International Conference on, pp. 1-5. IEEE
Publication year: 2017

DisTeam: A decision support tool for surgical team selection

Journal Article
Ashkan Ebadi, Patrick J Tighe, Lei Zhang, Parisa Rashidi
Artificial intelligence in medicine, 76, 16-26
Publication year: 2017

Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data

Conference Paper
Anis Davoudi, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Alberto C Bursian, Azra Bihorac, Parisa Rashidi
In Bioinformatics and Bioengineering (BIBE), 2017 IEEE 17th International Conference on, pp. 568-573. IEEE
Publication year: 2017

Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trends

Conference Paper
Shruthi Gopalswamy, Patrick J Tighe, Parisa Rashidi
In Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on, pp. 361-364
Publication year: 2017

Ensemble Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Complex Graph Measures from Diffusion Tensor Images

Journal Article
Ashkan Ebadi, Josué L Dalboni da Rocha, Dushyanth B Nagaraju, Fernanda Tovar-Moll, Ivanei Bramati, Gabriel Coutinho, Ranganatha Sitaram, Parisa Rashidi
Frontiers in neuroscience, 11, 56
Publication year: 2017

Automatic Triage of Mental Health Forum Posts

Conference Paper
Benjamin Shickel, Parisa Rashidi
In Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology (pp. 188-192)
Publication year: 2016

On the Scale-Free Characteristics of Surgical Team Networks

Conference Paper
Ashkan Ebadi, Patrick J Tighe, Lei Zheng, Parisa Rashidi
12th International Conference on Webometrics, Informetrics and Scientometrics (WIS) & 17th COLLNET Meeting,
Publication year: 2016

Using symbolic aggregate approximation (SAX) to visualize activity transitions among older adults

Journal Article
Amal A Wanigatunga, Paul V Nickerson, Todd M Manini, Parisa Rashidi
hysiological measurement, 37(11), 1981
Publication year: 2016

Characterizations of Temporal Postoperative Pain Signatures with Symbolic Aggregate Approximations

Journal Article
Patrick Tighe, Paul Nickerson, Roger Fillingim, Parisa Rashidi
The Clinical journal of pain, 33(1), 1-11
Publication year: 2016