By Margarita Sordo, Tonya Hongsermeier (auth.), Prof. Hiro Yoshida, Dr. Ashlesha Jain, Ajita Ichalkaranje, Prof. Lakhmi C. Jain, Dr. Nikhil Ichalkaranje (eds.)
This e-book provides essentially the most fresh study effects at the functions of computational intelligence in healthcare. The contents include:
- Information version for administration of scientific content
- State-based version for administration of variety II diabetes
- Case-based reasoning in medicine
- Assessing the standard of care in man made intelligence environment
- Electronic scientific checklist to check health care professional decisions
- Multi-agent structures for the administration of group healthcare
- Assistive wheelchair navigation
- Modelling remedy strategies utilizing info extraction
- Neonatal ache detection utilizing face class 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 technology, desktop technology and comparable disciplines.
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Extra info for Advanced Computational Intelligence Paradigms in Healthcare – 1
Org as Document ID#1209 A State-Based Model for Management of Type II Diabetes Margarita Sordo, Tonya Hongsermeier, Vipul Kashyap, and Robert A. Greenes Summary. The Decision Systems Group at the Brigham & Women’s Hospital, Boston, USA and the Clinical Knowledge Management Group at Partners HealthCare Systems, Inc. have developed a computational model that encompasses strategies for prevention, early diagnosis, and treatment of type II diabetes and associated complications. This eﬀort is part of an on-going, enterprise-wide strategy to improve the quality, safety, and eﬃciency of provided care, by maximizing the use of new clinical information technology in key issues such as complex clinical workﬂows, usability, controlled terminology, knowledge management, and clinical decision support carried out by Partners HealthCare System.
Partners Healthcare Order Set Schema 13 6 Order Set Schema (OS Schema) Order Sets are predeﬁned groups of orders for speciﬁc clinical settings, diagnoses or treatments. They provide decision support to help clinicians improve the outcome of treatments by prompting clinical alerts about current patient’s condition; diagnosis support by highlighting key symptoms and ﬁnding; medication ordering by suggesting appropriate medications and dosages based on the medical condition of a patient; cost reduction by suggesting eﬀective alternative treatments, and medications.
32 M. Sordo et al. 5 Coronary Heart Disease Early identiﬁcation and treatment of CAD in patients with diabetes is important for optimal prevention of cardiovascular events. Asymptomatic patients should be screened at least annually to determine the presence of any CAD symptoms. CHD risk factors include dyslipidemia, hypertension, smoking, family history of premature coronary disease, and presence of micro- or macroalbuminuria [8, 21]. Recommendations issued by the American Diabetes Association include the following : 1.