Enhancing Ensemble Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnostic Using Optimized EKF-RBFN Trained Prototypes

Adegoke, Vincent F.; Chen, Daqing; Banissi, Ebad; Barsikzai, Safia

doi:10.1007/978-3-030-17065-3_6

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…In particular, although there may be a number of physiological mechanisms that explain changes in cancer-related symptoms over time (eg, reductions in biomarkers of inflammation associated with decreased fatigue), 13 we will closely examine heart rate variability (HRV) as a factor over which individuals have direct influence in the short term, and may affect set-point changes long term, as well as the link between HRV to emotional self-regulation, 14 stress, and anxiety. 15 Recent studies have implicated HRV as a predictor of longer survival after cancer diagnosis, 16 further suggesting the value of examining the effects of interventions on HRV. By first recognizing a possible underlying factor (ie, HRV), and attempting to find ways to optimize such a factor, we introduce a potential strategy to obtain increased benefits from engaging in these practices.…”

Section: Introductionmentioning

confidence: 99%

Mind-Body and Psychosocial Interventions May Similarly Affect Heart Rate Variability Patterns in Cancer Recovery: Implications for a Mechanism of Symptom Improvement

et al. 2020

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Background: Advancements in early detection and treatment of cancer have led to increased survival rates and greater need to identify effective supportive care options for resolving symptoms of survivorship. Many non-pharmacological approaches to symptom management during and after cancer treatment involve emotional self-regulation as a central strategy for improving well-being. Identifying commonalities among these strategies’ mechanisms of action may facilitate understanding of what might be useful for optimizing intervention effects. Heart rate variability (HRV) parameters are indicative of improved autonomic nervous system (ANS) balance and resiliency and reduced emotional distress and are thus identified as a mechanism to discuss as a marker of potential for intervention efficacy and a target for optimization. Methods: HRV data from 2 studies, 1 examining a mind-body intervention and 1 examining a psychosocial intervention, are presented as a point of discussion about preliminary associations between the interventions, change in HRV, and emotional distress reduction. Results: HRV significantly decreased in sympathetic activity in response to a mind-body intervention (Qigong/Tai Chi), and increased vagal tone in response to a psychosocial (storytelling) intervention. In both, these changes in HRV parameters were associated with improved emotional states. Conclusion: Our preliminary data suggest that HRV may serve as an important marker of underlying changes that mediate emotional regulation; this observation deserves further investigation. If identified as a worthy target, focusing on interventions that improve HRV within the context of interventions for cancer patients may be important to key outcomes and clinical practice.

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Section: Introductionmentioning

confidence: 99%

Mind-Body and Psychosocial Interventions May Similarly Affect Heart Rate Variability Patterns in Cancer Recovery: Implications for a Mechanism of Symptom Improvement

et al. 2020

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Diagnosing malaria from some symptoms: a machine learning approach and public health implications

et al. 2020

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The Changing Global Landscape With Emerging Technologies and Their Implications for Smart Societies

Sarwar

Adegoke

2021

Handbook of Research on 5G Networks and Advancements in Computing, Electronics, and Electrical Engineering

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The opportunities offered by digital technology are enormous. The global social and economic system is being reconfigured at an incredible rate. Connectivity is increasingly reshaping our world and redefining the way we interact with our environment. The rise of digital technologies is transforming almost every aspect of modern life. More and more of our interactions are mediated by machines. Along with the rapid evolution comes the risks, threats, and vulnerabilities in the system for those who plan to exploit it. In this chapter, firstly, the authors explore the role of 5G, big data, the internet of things (IoT), artificial intelligence (AI), autonomous vehicles (AV), and cloud computing play in the context of smart societies; secondly, they analyse how the synergy between these technologies will be used by governments and other stakeholders around the world to improve the safety of citizens albeit increasingly relinquishing privacy rights and encouraging mass surveillance at the expense of liberty.

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Enhancing Ensemble Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnostic Using Optimized EKF-RBFN Trained Prototypes

Cited by 3 publications

References 23 publications

Mind-Body and Psychosocial Interventions May Similarly Affect Heart Rate Variability Patterns in Cancer Recovery: Implications for a Mechanism of Symptom Improvement

Mind-Body and Psychosocial Interventions May Similarly Affect Heart Rate Variability Patterns in Cancer Recovery: Implications for a Mechanism of Symptom Improvement

Diagnosing malaria from some symptoms: a machine learning approach and public health implications

The Changing Global Landscape With Emerging Technologies and Their Implications for Smart Societies

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