Fuzzy Logic in Health Care Settings: Moral Math for Value-Laden Choices

Voss, Sarah

doi:10.5642/jhummath.201602.12

Cited by 6 publications

(2 citation statements)

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“…Fuzzy logic here means that the logic values of variables can be a real number between 0 and 1 [35]- [37]. Also, fuzzy logic is widely used for medical decision making in health environments such as Value-Laden choices [38], medical decision making in the intensive care unit (ICU) [39], and artrial fibrillation detection [40], [41].…”

Section: A Fuzzy Nature Of the Proposed Cognitive Dynamic System Formentioning

confidence: 99%

Brain-Inspired Intelligence for Real-Time Health Situation Understanding in Smart e-Health Home Applications

2019

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The autonomic computing layer of the smart e-Health home based on a cognitive dynamic system (CDS) can be a solution for improving health situation understanding, reducing the healthcare system costs, and improving people's quality of life. It can also be a solution for reducing the large number of sudden deaths outside of a hospital due to fatal diseases such as Arrhythmia. Towards this objective, we start from understanding the health situation, by diagnosing healthy and unhealthy persons. For this, we developed a decision-making system that is inspired by the medical doctors (MDs) decision-making processes. Our system is based on a CDS for cognitive decision-making and it can create a decision-making tree automatically. The simple, low complexity algorithmic design of the proposed system makes it suitable for real-time applications. A proof-of-concept case study of the implementation of the CDS was done on Arrhythmia disease. An accuracy of 95.4% was achieved using the proposed algorithms. Also, these algorithms can make a decision in less than 80 ms, and for one User, this includes the time for training. The proposed platform can be extended for more healthcare applications such as screening, disease class diagnosis, prevention, treatment, or monitoring healing. As a result, the proposed CDS algorithms can be an example of the first step for designing the autonomic computing layer of a smart e-Health home platform.

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Section: A Fuzzy Nature Of the Proposed Cognitive Dynamic System Formentioning

confidence: 99%

Brain-Inspired Intelligence for Real-Time Health Situation Understanding in Smart e-Health Home Applications

2019

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“…They can help us think of inequalities and intersectionalities in different ways [4]. They can help us with moral dilemmas [27,28]. Mathematical ways of thinking and knowing can indeed allow us to view and understand ourselves in new and insightful ways.…”

Section: Applications Of Mathematical Ways Of Knowingmentioning

confidence: 99%

On Mathematical Ways of Knowing

Karaali

2019

Preprint

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Humanistic mathematics is a perspective on mathematics that emphasizes the ways our species creates, interacts with, and lives through it. I summarized this idea elsewhere (see [13]) by asserting that mathematics is the way our species makes sense of this world and that it is inherent in our thinking machinery; our mathematics in turn is dependent on the way we view our universe and ourselves. Lakoff and Núñez [17] argue carefully and eloquently for a mathematics inherently based on human cognition.Cognition is "the mental action or process of acquiring knowledge and understanding through thought, experience, and the senses" (see Wikipedia). In this note I attempt to engage with the construct of mathematical cognition through the lens of humanistic mathematics.

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Moral Mathematics

Voss¹

2021

Handbook of the Mathematics of the Arts and Sciences

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Fuzzy Logic in Health Care Settings: Moral Math for Value-Laden Choices

Cited by 6 publications

References 4 publications

Brain-Inspired Intelligence for Real-Time Health Situation Understanding in Smart e-Health Home Applications

Brain-Inspired Intelligence for Real-Time Health Situation Understanding in Smart e-Health Home Applications

On Mathematical Ways of Knowing

Moral Mathematics

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