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Author Details
Full Name
Anahita Khojandi
Affiliation
University of Tennessee
ORCID
Career Start Year
2017
Papers
26
H Index
7
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36720257
Evaluating the Impact of Health Care Data Completeness for Deep Generative Models.
Methods Inf Med
2023
38083578
Towards Faster Gene Expression Prediction via Dimensionality Reduction and Feature Selection.
Annu Int Conf IEEE Eng Med Biol Soc
2023
37842127
Differential spatiotemporal gait effects with frequency and dopaminergic modulation in STN-DBS.
Front Aging Neurosci
2023
36086439
Adapting Random Forests to Predict Obesity-Associated Gene Expression.
Annu Int Conf IEEE Eng Med Biol Soc
2022
36605361
Editorial: Advancing the treatment landscape in Parkinson's disease using sensor technology and data-driven modeling.
Front Aging Neurosci
2022
32991294
Improving Deep Reinforcement Learning With Transitional Variational Autoencoders: A Healthcare Application.
IEEE J Biomed Health Inform
2021
33706090
Building resiliency to climate change uncertainty through bioretention design modifications.
J Environ Manage
2021
33639353
HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study.
Comput Biol Med
2021
34891761
Evaluating the Fitness-to-Drive Using Evoked Visual Responses in Alzheimer's Disease.
Annu Int Conf IEEE Eng Med Biol Soc
2021
34891746
Predicting Severity in People with Aphasia: A Natural Language Processing and Machine Learning Approach.
Annu Int Conf IEEE Eng Med Biol Soc
2021
34891742
Using Verb Fluency, Natural Language Processing, and Machine Learning to Detect Alzheimer's Disease.
Annu Int Conf IEEE Eng Med Biol Soc
2021
34065245
Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor Technology.
Sensors (Basel)
2021
32991797
Temporal Differential Expression of Physiomarkers Predicts Sepsis in Critically Ill Adults.
Shock
2021
33019203
Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement Learning.
Annu Int Conf IEEE Eng Med Biol Soc
2020
31929356
Improving Shared Decision-making and Treatment Planning Through Predictive Modeling: Clinical Insights on Ventral Hernia Repair.
Comput Inform Nurs
2020
33139614
Machine Learning's Application in Deep Brain Stimulation for Parkinson's Disease: A Review.
Brain Sci
2020
33019209
Predicting Alzheimer's Disease Using Driving Simulator Data.
Annu Int Conf IEEE Eng Med Biol Soc
2020
30623784
A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.
Int J Med Inform
2019
35420764
Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.
J Healthc Inform Res
2019
30676988
Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study.
IEEE J Biomed Health Inform
2019
30248708
Prediction of Sepsis and In-Hospital Mortality Using Electronic Health Records.
Methods Inf Med
2018
35415425
A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling.
J Healthc Inform Res
2018
30254580
Optimizing Clinical Assessments in Parkinson's Disease Through the Use of Wearable Sensors and Data Driven Modeling.
Front Comput Neurosci
2018
30095571
Missing Data, Data Cleansing, and Treatment From a Primary Study: Implications for Predictive Models.
Comput Inform Nurs
2018
28423982
From Data to Improved Decisions: Operations Research in Healthcare Delivery.
Med Decis Making
2017
28480524
Stratifying Parkinson's Patients With STN-DBS Into High-Frequency or 60 Hz-Frequency Modulation Using a Computational Model.
Neuromodulation
2017
1 - 26 of 26
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row(s) 1 - 30 of 30
Collaborators
Rishikesan Kamaleswaran
Duke University, Emory University, Society for Critical Care Medicine, University of Ontario Institute of Technology, University of Tennessee Health Science Center
Co-authored papers
6
Robert L Davis
University of Tennessee Health Science Center
Co-authored papers
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Xueping Li
The University of Tennessee
Co-authored papers
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University of Tennessee
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Co-authored papers
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Emory University
Co-authored papers
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Co-authored papers
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Don MacMillan
Co-authored papers
1
Daniel A Jacobson
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Co-authored papers
1
Daniel A Jacobson
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Co-authored papers
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Mark S Roberts
School of Public Health, University of Pittsburgh
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Akram Mohammed
Center for Biomedical Informatics, University of Tennessee Health
Co-authored papers
1
Akram Mohammed
Co-authored papers
1
Zeyu Liu
The University of Tennessee
Co-authored papers
1
Edmon Begoli
Oak Ridge National Laboratory
Co-authored papers
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Robert L Davis
Center for Biomedical Informatics, University of Tennessee Health Science Center
Co-authored papers
1
Brian Williams
Co-authored papers
1
Robert Davis
University of Tennessee Health Science Center College of Medicine
Co-authored papers
1
Franco van Wyk
University of Tennessee
Co-authored papers
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Brian Williams
Co-authored papers
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Franco Van Wyk
Georgia Institute of Technology, University of Tennessee
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