Abstract In this chapter, we present the main classic machine learning methods. A large part of chapter is devoted to supervised techniques for classification and regression, including nearest neighbor methods, linear logistic regressions, support vector machines, tree-based algorithms. We also describe problem overfitting as well strategies overcome it. finally provide a brief overview unsuper...

The effectiveness of the classic methods for red blood cells (RBCs) labelling with Tc has been demonstrated in nuclear medicine. However, nuclear physicians have found, in certain circumstances, this diagnostic technique fails and poor quality images are obtained. In this work we report on an alternative method that is of useful in these occasions, for in vitro labelling RBCs with Tc-d,l-HMPAO ...

In the post–Human Genome Project era, “personalized medicine” has become a buzzword. Health-care professionals increasingly have access to gene sequence data, with the promise that this information will improve the health of the individual. In the area of breast oncology, the study of genetic markers associated with clinical outcome has been a relative success story. While classic tumor-related...

Patient care experiences represent opportunities for establishing theories, testable hypotheses, and data to assess the potential use of osteopathic manipulative treatment in various disease conditions. The re-analysis of Bandeen's 1949 raw data described herein summarizes the effects of osteopathic manipulative treatment involving pancreatic stimulatory and inhibitory techniques in diabetic an...

BACKGROUND Different factors, especially genetic, effect individual attitude to regular physical activity in Iranian traditional medicine. It was believed that individual physical activity attitude is affected by Mizaj too. Our aim was to conduct a comparative revision and evaluation of the effect of genetic factors on physical activity in classic medicine and Iranian traditional medicine. ME...

Aesthetic medicine, together with Cosmetic Dermatology, is today a new medicai disci pline which is widely represented and legally recognized within the Chinese territory. " lt is the new science which concems itself with the role played by beauty in nature far a better I ife'', as was stated by Professor Peng Qing Xing, in his role as Chairman, at the opening of the 2nd World Congress on Aesth...