Advanced Computational Intelligence Paradigms in Healthcare by Margarita Sordo, Tonya Hongsermeier (auth.), Prof. Hiro

By Margarita Sordo, Tonya Hongsermeier (auth.), Prof. Hiro Yoshida, Dr. Ashlesha Jain, Ajita Ichalkaranje, Prof. Lakhmi C. Jain, Dr. Nikhil Ichalkaranje (eds.)

This booklet offers the most fresh examine effects at the purposes of computational intelligence in healthcare. The contents include:

  • Information version for administration of medical content
  • State-based version for administration of kind II diabetes
  • Case-based reasoning in medicine
  • Assessing the standard of care in man made intelligence environment
  • Electronic clinical list to envision health professional decisions
  • Multi-agent platforms for the administration of neighborhood healthcare
  • Assistive wheelchair navigation
  • Modelling therapy approaches utilizing details extraction
  • Neonatal ache detection utilizing face category techniques
  • Medical schooling interfaces utilizing digital patients

The booklet is directed to the pc scientists, clinical practitioners, scientists, professors and scholars of health and wellbeing technological know-how, machine technology and comparable disciplines.

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Extra resources for Advanced Computational Intelligence Paradigms in Healthcare – 1

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1 Blood Pressure Management High blood pressure is a common comorbidity in patients with diabetes, and a strict control is necessary to prevent adverse outcomes [5]. , CAD [9–11], and microvascular complications [12, 13]. The American Diabetes Association recommended values are < 130 mmHg for systolic and < 80 mmHg for diastolic blood pressure [8]. 2 Lipid Management Lipid management focuses at reducing LDL cholesterol, elevating HDL cholesterol, and reducing triglycerides. 7 mmol l−1 [8]. The benefits of healthy lipid levels are manifold, particularly on reducing the risk of cardiovascular events in patients with a high risk of CAD.

2 Physical Activity Regular exercise helps weight control, improves blood glucose levels, and reduces the risk of cardiovascular diseases. An activity program adapted to the patient specific needs is recommended. 3 Self Blood Glucose Monitoring Day-to-day glucose measurement provides an excellent assessment for glucose control, and the importance of regular measurements should be emphasized to the patient. If properly instructed, patients should be able to provide reasonably accurate results – and essential strategy for maintaining healthy blood glucose levels.

Fig. 6. HL7 V3 Reference Information Model core classes The Entity class is used to represent a physical thing or an organization. For example, an Entity may be a living subject, a place, an organization, a material, a device, or a container. The Role class represents the competency or suitability of an Entity to play a given role while participating in appropriate acts. For example, a Role may be a patient, an employee, or equipment certified to perform specific functions. The Participation class represents the way that a Role participates in an Act, for example a performer, a subject, a witness, or a referrer.

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