How Can Bee Colony Algorithm Serve Medicine?

Healthcare professionals usually should make complex decisions with far reaching consequences and associated risks in health care fields. As it was demonstrated in other industries, the ability to drill down into pertinent data to explore knowledge behind the data can greatly facilitate superior, informed decisions to ensue the facts. Nature has always inspired researchers to develop models of solving the problems. Bee colony algorithm (BCA), based on the self-organized behavior of social insects is one of the most popular member of the family of population oriented, nature inspired meta-heuristic swarm intelligence method which has been proved its superiority over some other nature inspired algorithms. The objective of this model was to identify valid novel, potentially useful, and understandable correlations and patterns in existing data. This review employs a thematic analysis of online series of academic papers to outline BCA in medical hive, reducing the response and computational time and optimizing the problems. To illustrate the benefits of this model, the cases of disease diagnose system are presented

Nanotechnology Tolls the Bell for Plastic Surgeons

Nanotechnology is an emerging discipline, having power to revolutionarize every scientific field to a very deep level which previously thought to be a science fiction. Having a great potential to beneficially change the way a disease is diagnosed, treated and prevented, nanotechnology practically impacts on state of the art healthcare technologies and plays a crucial role in changing the field of surgery. Surgeons are constantly looking for minimally invasive ways to treat their patients, as recovery is faster when a lesser trauma is inflicted upon a patient, scarring is lessened and there are usually fewer complications in the aftermath of the operation. Through nanotechnology, tiny biosensors could be constructed which could take these factors into account, thus shortening the patient recovery period and saving hospitals money, reducing infection rates within the hospital, reducing the waiting lists for operation and allowing doctors to treat more patients in the same period of time. This review employs a thematic analysis of online series of academic papers focuses on the potentials of nanotechnology in surgery, especially in plastic surgery and addresses the possible future prospects of nanotechnology in this field

Factors Affecting Patients Undergoing Cosmetic Surgery in Bushehr, Southern Iran

BACKGROUND Although, there have been extensive research on the motivations driving patient to undergo cosmetic procedures, there is still a big question mark on the persuasive factors which may lead individuals to undergo cosmetic surgery. The present study evaluated various factors affecting patients undergoing cosmetic surgery in Bushehr, Southern Iran. METHODS From 24th March 2011 to 24th March 2012, eighty-one women and 20 men who wished to be operated in Fatemeh Zahra Hospital in Bushehr, Southern Iran and Pars Clinic, Iran were enrolled by a simple random sampling method. They all completed a questionnaire to consider reasons for cosmetic procedures. The collected data were statistically analyzed. RESULTS Demographical, sociological and psychological factors such as age, gender, educational level, marital status, media, perceived risks, output quality, depression and self-improvement were determined as factors affecting tendency of individuals to undergo cosmetic surgery in this region. Trend to undergo cosmetic surgery was more prevalent in educational below bachelor degree, married subjects, women population of 30-45 years age group. Education level, age, marital status and gender were respectively the influential factors in deciding to undergo cosmetic surgery. Among the socio-psychological factors, self-improvement, finding a better job opportunity, rivalry, media, health status as well as depression were the most persuasive factors to encourage people to undergo cosmetic surgery too. Cost risk was not important for our samples in decision making to undergo cosmetic surgery. CONCLUSION We need to fully understand the way in which the combination of demographic, social and psychological factors influence decision-making to undergo cosmetic surgery