Fish-net algorithm is a novel field learning algorithm which derives classification rules by looking at the range of values of each attribute instead of the individual point values. In this paper, we present a Feature Selection Fish-net learning algorithm to solve the Dual Imbalance problem on text classification. Dual imbalance includes the instance imbalance and feature imbalance. The instanc...

Class imbalance data usually suffers from data intrinsic properties beyond that of imbalance alone. The problem is intensified with larger levels of imbalance most commonly found in observational studies. Extreme cases of class imbalance are commonly found in many domains including fraud detection, mammography of cancer and post term births. These rare events are usually the most costly or have...

Kidneys are central metabolic organs in our body. They regulate our water and electrolyte balance amongst other things, and are responsible for the removal of potentially toxic substances and medications. Shockingly, many of today’s widespread diseases can lead to damaged kidneys and an impairment of their function. Chronic renal failure is a systemic disease with massive effects on the whole o...

The present paper provides a review of 45 studies on the Effort-Reward Imbalance (ERI) Model published from 1986 to 2003 (inclusive). In 1986, the ERI Model was introduced by Siegrist et al. (Biological and Psychological Factors in Cardiovascular Disease, Springer, Berlin, 1986, pp. 104-126; Social Science & Medicine 22 (1986) 247). The central tenet of the ERI Model is that an imbalance betwee...

Hyponatremia is the most common electrolyte imbalance encountered in clinical practice. Beside the difficulty of the etiological diagnosis, the general lack of awareness regarding the negative impact of hyponatremia on the quality of life and the lack of targeted treatments until recent years may be responsible for the poor management of the disorder. Therefore we consider of utmost importance ...