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Publications

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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

Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics

Preprint
Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara, Ashkan Ebadi, Amir Motaei, Parisa Rashidi, Xiaolin Li, Azra Bihorac
arXiv preprint arXiv:1805.05452.
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

Roamm: A software infrastructure for real-time monitoring of personal health

Conference Paper
Sanjay Nair, Matin Kheirkhahan, Anis Davoudi, Parisa Rashidi, Amal A Wanigatunga, Duane B Corbett, Todd M Manini, Sanjay Ranka
In e-Health Networking, Applications and Services (Healthcom), 2016 IEEE 18th International Conference on, pp. 1-6
Publication year: 2016

Preoperative assessment of the risk for multiple complications after surgery

Journal Article
Tezcan Ozrazgat-Baslanti, Paulette Blanc, Paul Thottakkara, Matthew Ruppert, Parisa Rashidi, Petar Momcilovic, Charles Hobson, Philip A Efron, Frederick A Moore, Azra Bihorac
Surgery, 160(2), 463-472
Publication year: 2016

Self-Reflective Sentiment Analysis

Conference Paper
Benjamin Shickel, Martin Heesacker, Sherry Benton, Ashkan Ebadi, Paul Nickerson, Parisa Rashidi
In Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology (pp. 23-32)
Publication year: 2016

Markov chain evaluation of acute postoperative pain transition states

Journal Article
Patrick J Tighe, Matthew Bzdega, Roger B Fillingim, Parisa Rashidi, Haldun Aytug
Pain, 157(3), 717.
Publication year: 2016

Deep Neural Network Architectures for Forecasting Analgesic Response

Conference Paper
Paul Nickerson, Patrick Tighe, Benjamin Shickel, Parisa Rashidi
In Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the (pp. 2966-2969)
Publication year: 2016

Application of machine learning techniques to high-dimensional clinical data to forecast postoperative complications

Journal Article
Paul Thottakkara, Tezcan Ozrazgat-Baslanti, Bradley B Hupf, Parisa Rashidi, Panos Pardalos, Petar Momcilovic, Azra Bihorac
PloS one, 11(5), e0155705
Publication year: 2016
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