Parallel Machine Learning and Deep Learning Approaches for Bioinformatics

Madiajagan, M.; Raj, S. Sridhar

doi:10.1016/b978-0-12-816718-2.00022-1

Cited by 4 publications

(3 citation statements)

References 21 publications

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“…The majority of these were conducted offline as a result of time-consuming computations. In the last decade, the development of parallel computing and multi-core graphics processing devices (GPUs) has paved the way for the diversification of machine learning and deep learning structures to take a giant leap forward [13,14].…”

Section: The Development Of Artificial Intelligence In the Medical Fieldmentioning

confidence: 99%

The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management

Vulpoi,

Luca,

Ciobanu

et al. 2023

Diagnostics

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Irritable bowel syndrome (IBS) has a global prevalence of around 4.1% and is associated with a low quality of life and increased healthcare costs. Current guidelines recommend that IBS is diagnosed using the symptom-based Rome IV criteria. Despite this, when patients seek medical attention, they are usually over-investigated. This issue might be resolved by novel technologies in medicine, such as the use of Artificial Intelligence (AI). In this context, this paper aims to review AI applications in IBS. AI in colonoscopy proved to be useful in organic lesion detection and diagnosis and in objectively assessing the quality of the procedure. Only a recently published study talked about the potential of AI-colonoscopy in IBS. AI was also used to study biofilm characteristics in the large bowel and establish a potential relationship with IBS. Moreover, an AI algorithm was developed in order to correlate specific bowel sounds with IBS. In addition to that, AI-based smartphone applications have been developed to facilitate the monitoring of IBS symptoms. From a therapeutic standpoint, an AI system was created to recommend specific diets based on an individual’s microbiota. In conclusion, future IBS diagnosis and treatment may benefit from AI.

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Section: The Development Of Artificial Intelligence In the Medical Fieldmentioning

confidence: 99%

The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management

Vulpoi,

Luca,

Ciobanu

et al. 2023

Diagnostics

View full text Add to dashboard Cite

show abstract

“…DL techniques can create an elegant abstraction between features and can work under complex conditions. The attraction that allows us to mix the approaches is the current computational increment and the tendency of parallelization of the devices that perform the necessary calculations to support sophisticated techniques [19], [20]. Also, the developers realized that it is required to create equipment that has hardware dedicated to the processing of neural networks, capable of accelerating and allowing the reconfiguration of a product.…”

Section: B Motivationmentioning

confidence: 99%

“…Some hardware architectures have characteristics that accommodate DL techniques. An example is the graphic processing units (GPU) [20], which can streamline the network training process.…”

Section: B Motivationmentioning

confidence: 99%