The normal chest

Hansell, David M.; Lynch, David A.; McAdams, H. Page; Bankier, Alexander A.

doi:10.1016/b978-0-7234-3496-2.00007-5

Cited by 8 publications

(2 citation statements)

References 184 publications

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“…ML is also helpful to prevent any misdiagnosis. Radiologists usually use it in rapid lesions identification and confirm their diagnosis [33]. Gender determination from hand image, automatic detection of grandiose epilepsy and recognition of normal actions in video by combining machine vision (MV) techniques and ML, selection of effective features in breast cancer diagnosis using parametric ML models, detection of mitotic cells in images Breast biopsy with the help of fast learning machines, diagnostic screening of pulmonary tuberculosis using AI, heart problems and disorders prediction, helping to identify and progress neurological diseases such as MS and Parkinson's and many other health problems are examples of AI, ML and DM applications in the medical sciences [34].…”

Section: Application Of Computer Sciences and Programming: Promising ...mentioning

confidence: 99%

New insight in severe acute respiratory syndrome coronavirus 2 consideration: Applied machine learning for nutrition quality, microbiome and microbial food poisoning concerns

et al. 2022

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Although almost two years have passed since the beginning of the coronavirus disease 2019 (COVID-19) pandemic in the world, there is still a threat to the health of people at risk and patients. Specialists in various sciences conduct various researches in order to eliminate or reduce the problems caused by this disease. Nutrition is one of the sciences that plays a very important supportive role in this regard. It is important for patients to pay attention to the potential of different diets in preventing or accelerating the healing process. The relationship between nutrition and microbiome regulation or the occurrence of food microbial poisoning is one of the factors that can directly or indirectly play a key role in the body's resilience to COVID-19. In this article, we introduce a link between nutrition, the microbiome, and the incidence of food microbial poisoning that may have great potential in preventing, treating COVID-19, or preventing deterioration in patients. In linking the components of this network, artificial intelligence (AI), machine learning (ML) and data mining (DM) can be important strategies and lead to the creation of a conceptual model called "Balance square", which we will introduce.

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Section: Application Of Computer Sciences and Programming: Promising ...mentioning

confidence: 99%

New insight in severe acute respiratory syndrome coronavirus 2 consideration: Applied machine learning for nutrition quality, microbiome and microbial food poisoning concerns

et al. 2022

View full text Add to dashboard Cite

show abstract

“…However, the real incidence of this anomaly is diffi cult to establish, considering the absence of symptom in the majority of cases (Cha and Khoury 1972;Cormier et al 1989). The prevalence in patients with congenital heart disease is higher and is between 1.3 and 12.9% (Buirski et al 1986;Hansell et al 2004). …”

Section: Prevalencementioning

confidence: 99%