It is important that the medical profession play a central role in critically evaluating the use of diagnostic procedures and therapies introduced and tested for detection, management, or prevention of disease. Rigorous, expert analysis of the available data documenting absolute and relative

/pdf/acc-aha-2008-guidelines-for-the-management-of-adults-with-4oqjti8ewr.pdf

ACC/AHA 2008 guidelines for the management of adults with congenital heart disease: Executive summary - A report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (writing committee to develop guidelines for the management of adults with congenital heart disease)

https://www.hefssa.org/images/uploads/acc_aha_guidelines_for_adults_with_chd.pdf

ACC/AHA 2008 Guidelines for the Management of Adults With Congenital Heart Disease

Health measurement scales

Since publication of the last American Heart Association (AHA) scientific statement on this topic in 1998,1 device technology, advances in interventional techniques, and an innovative spirit have opened the field of congenital heart therapeutic catheterization. Unfortunately, studies testing the safety and efficacy of catheterization and transcatheter therapy are rare in the field because of the difficulty in identifying a control population, the relatively small number of pediatric patients with congenital heart disease (CHD), and the broad spectrum of clinical expression. This has resulted in the almost exclusive “off-label” use of transcatheter devices, initially developed for management of adult diseases, for the treatment of CHD.

The objective of the present writing group, which included representatives of the AHA and endorsements from the Society for Cardiovascular Angiography and Interventions and the American Academy of Pediatrics, was not only to provide the reader with an inventory of diagnostic catheterization and interventional treatment options but also to critically review the literature and formulate relative recommendations that are based on key opinion leader expertise and level of evidence. The writing group was charged with the task of performing an assessment of the evidence and giving a classification of recommendations and a level of evidence to each recommendation. The American College of Cardiology/AHA classification system was used, as follows:

### Classification of Recommendations

Indications for Cardiac Catheterization and Intervention in Pediatric Cardiac Disease A Scientific Statement From the American Heart Association

In recent years, with the advent of globalization, the world is witnessing a steep rise in its energy consumption. The world is transforming itself into an industrial and knowledge society from an agricultural one which in turn makes the growth, energy intensive resulting in emissions. Energy modeling and energy planning is vital for the future economic prosperity and environmental security. Soft computing techniques such as fuzzy logic, neural networks, genetic algorithms are being adopted in energy modeling to precisely map the energy systems. In this paper, an attempt has been made to review the applications of fuzzy logic based models in renewable energy systems namely solar, wind, bio-energy, micro-grid and hybrid applications. It is found that fuzzy based models are extensively used in recent years for site assessment, for installing of photovoltaic/wind farms, power point tracking in solar photovoltaic/wind, optimization among conflicting criteria. The review indicates that fuzzy based models provide realistic estimates.

Applications of fuzzy logic in renewable energy systems – A review

The Amplatzer duct occluder: experience in 209 patients.

Intelligent deep learning based ethnicity recognition and classification using facial images

An intelligent computer-aided diagnosis system can be very helpful for radiologist in detecting and diagnosing microcalcifications earlier and faster than typical screening programs. In this paper, Genetic Algorithm (GA) and New Particle Swarm Optimization (NPSO) algorithm are proposed for feature selection, and their performance is compared. The Spatial Gray Level Dependence Method (SGLDM) is used for feature extraction. The selected features are fed to a three-layer Backpropagation Network hybrid with New Particle Swarm Optimization (BPN) for classification. And the Receiver Operating Characteristic (ROC) analysis is performed to evaluate the performance of the feature selection methods with their classification results. The proposed algorithms are tested with 114 abnormal images from the Mammography Image Analysis Society (MIAS) database.

New Particle Swarm Optimization for Feature Selection and Classification of Microcalcifications in Mammograms

Design of economic dispatch model for Gencos with thermal and wind powered generators

Genetic algorithm (GA) and Ant colony optimization (ACO) algorithm are proposed for feature selection, and their performance is compared. The spatial gray level dependence method (SGLDM) is used for feature extraction. The selected features are fed to a three-layer backpropagation network hybrid with ant colony optimization (BPN-ACO) for classification. And the receiver operating characteristic (ROC) analysis is performed to evaluate the performance of the feature selection methods with their classification results. The proposed algorithms are tested with 114 abnormal images from the Mammography Image Analysis Society (MIAS) database.

K. Geetha

Papers

The Amplatzer duct occluder: experience in 209 patients.

Intelligent deep learning based ethnicity recognition and classification using facial images

New Particle Swarm Optimization for Feature Selection and Classification of Microcalcifications in Mammograms

Design of economic dispatch model for Gencos with thermal and wind powered generators

Ant colony Optimization for Feature Selection and Classification of Microcalcifications in Digital Mammograms