Anahita Khojandi
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Explore the profile of Anahita Khojandi including associated specialties, affiliations and a list of published articles.
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28
Citations
156
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Recent Articles
1.
Ramdhani R, Kline M, Islam S, Fitzpatrick T, Khojandi A
Neurol Sci
. 2025 Feb;
PMID: 39976880
Objective: We investigated the effects of Subthalamic Deep Brain Stimulation (STN-DBS) at high (180hz) and low frequency (60hz) and L-dopa on variability of spatiotemporal gait measures in an advanced PD...
2.
Watts J, Niethammer M, Khojandi A, Ramdhani R
Front Aging Neurosci
. 2024 Jul;
16:1431280.
PMID: 39006221
Introduction: Freezing of gait (FOG) is a paroxysmal motor phenomenon that increases in prevalence as Parkinson's disease (PD) progresses. It is associated with a reduced quality of life and an...
3.
Mishra A, Bajaj V, Fitzpatrick T, Watts J, Khojandi A, Ramdhani R
Sensors (Basel)
. 2024 Jul;
24(13).
PMID: 39001075
Introduction: The current approach to assessing bradykinesia in Parkinson's Disease relies on the Unified Parkinson's Disease Rating Scale (UPDRS), which is a numeric scale. Inertial sensors offer the ability to...
4.
Watts J, Allen E, Mitoubsi A, Khojandi A, Eales J, Papamarkou T
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-4.
PMID: 38083578
The majority of genes have a genetic component to their expression. Elastic nets have been shown effective at predicting tissue-specific, individual-level gene expression from genotype data. We apply principal component...
5.
Ramdhani R, Watts J, Kline M, Fitzpatrick T, Niethammer M, Khojandi A
Front Aging Neurosci
. 2023 Oct;
15:1206533.
PMID: 37842127
Objective: The spatiotemporal gait changes in advanced Parkinson's disease (PD) remain a treatment challenge and have variable responses to L-dopa and subthalamic deep brain stimulation (STN-DBS). The purpose of this...
6.
Smith B, Van Steelandt S, Khojandi A
Methods Inf Med
. 2023 Jan;
62(1-02):31-39.
PMID: 36720257
Background: Deep generative models (DGMs) present a promising avenue for generating realistic, synthetic data to augment existing health care datasets. However, exactly how the completeness of the original dataset affects...
7.
Ramdhani R, Khojandi A, Kopell B
Front Aging Neurosci
. 2023 Jan;
14:1113818.
PMID: 36605361
No abstract available.
8.
Watts J, Allen E, Mitoubsi A, Khojandi A, Eales J, Jalali-Najafabadi F, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2022 Sep;
2022:4407-4410.
PMID: 36086439
Random forests (RFs) are effective at predicting gene expression from genotype data. However, a comparison of RF regressors and classifiers, including feature selection and encoding, has been under-explored in the...
9.
van Wyk F, Khojandi A, Williams B, MacMillan D, Davis R, Jacobson D, et al.
J Healthc Inform Res
. 2022 Apr;
3(2):264-265.
PMID: 35420764
[This corrects the article DOI: 10.1007/s41666-018-0040-y.].
10.
van Wyk F, Khojandi A, Williams B, MacMillan D, Davis R, Jacobson D, et al.
J Healthc Inform Res
. 2022 Apr;
3(2):245-263.
PMID: 35415425
Precision medicine and the continuous analysis of "Big data" promises to improve patient outcomes dramatically in the near future. Very recently, healthcare facilities have started to explore automatic collection of...