MigraineCloud

Mohan, Shrey; Mukherjee, A.

doi:10.1109/secon.2018.8478869

Cited by 3 publications

(6 citation statements)

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“…Achieving this goal, however, needs a larger dataset to make such models more accurate. Mohan and Mukherjee [ 88 ] also pointed to the usefulness of applications of the Internet of Things and machine learning-based predictive models for predicting migraine attacks with a high accuracy. They [ 88 ] proposed that personal smart devices with the application of the Internet of Things can help in collecting individualized data, such as environmental triggers of migraines, in real time for an accurate prediction of migraine attacks.…”

Section: Digital Twin Concept For Personalized Care For Migrainesmentioning

confidence: 99%

“…Mohan and Mukherjee [ 88 ] also pointed to the usefulness of applications of the Internet of Things and machine learning-based predictive models for predicting migraine attacks with a high accuracy. They [ 88 ] proposed that personal smart devices with the application of the Internet of Things can help in collecting individualized data, such as environmental triggers of migraines, in real time for an accurate prediction of migraine attacks. MigraineCloud, proposed by this group of researchers, uses an advanced detection app for connecting personal Internet of Things smart devices [ 88 ].…”

Section: Digital Twin Concept For Personalized Care For Migrainesmentioning

confidence: 99%

“…They [ 88 ] proposed that personal smart devices with the application of the Internet of Things can help in collecting individualized data, such as environmental triggers of migraines, in real time for an accurate prediction of migraine attacks. MigraineCloud, proposed by this group of researchers, uses an advanced detection app for connecting personal Internet of Things smart devices [ 88 ]. This app can predict the onset of a migraine for a particular patient by using deep learning neural networks [ 88 ].…”

Section: Digital Twin Concept For Personalized Care For Migrainesmentioning

confidence: 99%

“…MigraineCloud, proposed by this group of researchers, uses an advanced detection app for connecting personal Internet of Things smart devices [ 88 ]. This app can predict the onset of a migraine for a particular patient by using deep learning neural networks [ 88 ]. Stubberud et al [ 89 ] presented a successful predictive modeling in a recent prospective study with 18 patients with migraines.…”

Section: Digital Twin Concept For Personalized Care For Migrainesmentioning

confidence: 99%

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Intelligent Digital Twins for Personalized Migraine Care

Gazerani

2023

JPM

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Intelligent digital twins closely resemble their real-life counterparts. In health and medical care, they enable the real-time monitoring of patients, whereby large amounts of data can be collected to produce actionable information. These powerful tools are constructed with the aid of artificial intelligence, machine learning, and deep learning; the Internet of Things; and cloud computing to collect a diverse range of digital data (e.g., from digital patient journals, wearable sensors, and digitized monitoring equipment or processes), which can provide information on the health conditions and therapeutic responses of their physical twins. Intelligent digital twins can enable data-driven clinical decision making and advance the realization of personalized care. Migraines are a highly prevalent and complex neurological disorder affecting people of all ages, genders, and geographical locations. It is ranked among the top disabling diseases, with substantial negative personal and societal impacts, but the current treatment strategies are suboptimal. Personalized care for migraines has been suggested to optimize their treatment. The implementation of intelligent digital twins for migraine care can theoretically be beneficial in supporting patient-centric care management. It is also expected that the implementation of intelligent digital twins will reduce costs in the long run and enhance treatment effectiveness. This study briefly reviews the concept of digital twins and the available literature on digital twins for health disorders such as neurological diseases. Based on these, the potential construction and utility of digital twins for migraines will then be presented. The potential and challenges when implementing intelligent digital twins for the future management of migraines are also discussed.

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Section: Digital Twin Concept For Personalized Care For Migrainesmentioning

confidence: 99%

Section: Digital Twin Concept For Personalized Care For Migrainesmentioning

confidence: 99%

Section: Digital Twin Concept For Personalized Care For Migrainesmentioning

confidence: 99%

Section: Digital Twin Concept For Personalized Care For Migrainesmentioning

confidence: 99%

See 2 more Smart Citations

Intelligent Digital Twins for Personalized Migraine Care

Gazerani

2023

JPM

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“…Other researchers have used deep learning models and wearable devices to predict migraines. 7 For many migraine studies using machine learning, researchers analyzed electroencephalograms (EEG) patterns in their data. One study utilized an ANOVA test, a hypothesis test determining if something is different and statistically significant, to classify EEG patterns.8 They also utilized a neural network and achieved a total accuracy of 90.9%.…”

Section: Introductionmentioning

confidence: 99%