Model for predicting drug resistance based on the clinical profile of tuberculosis patients using machine learning techniques.

Tuberculosis (TB) is a disease caused by the bacterium and despite effective treatments, still affects millions of people worldwide. The advent of new treatments has not eliminated the significant challenge of TB drug resistance. Repeated and inadequate exposure to drugs has led to the development of strains of the bacteria that are resistant to conventional treatments, making the eradication of the disease even more complex.

A classification model for municipalities in the paraense Amazon regarding the risk of violence against women: A multicriteria approach.

Violence against women (VAW) is a serious violation of the rights to life, health, and physical integrity. Recent studies point out that social, economic, and demographic factors directly impact the advance of this type of violence. In view of these facts, the state has its responsibility increased when it cannot provide the public equipment necessary for management strategies that collaborate with the confrontation of violence.

A study about management of drugs for leprosy patients under medical monitoring: A solution based on AHP-Electre decision-making methods.

Leprosy, also known as Hansen's, is one of the listed neglected tropical diseases as a major health problem global. Treatment is one of the main alternatives, however, the scarcity of medication and its poor distribution are important factors that have driven the spread of the disease, leading to irreversible and multi-resistant complications. This paper uses a distribution methodology to optimize medication administration, taking into account the most relevant attributes for the epidemiological profile of patients and the deficit in treatment via Polychemotherapy.

Empirical Evaluation of a 3D Virtual Simulator of Hysteroscopy Using Leap Motion for Gestural Interfacing.

Surgical training using 3D virtual reality simulators has become an important routine in medical education. Recent research points to Leap Motion as an exciting interface for the control of virtual surgical instruments due to its simplicity and low-cost characteristics. However, previous studies using Leap Motion only evaluated movements of the whole hand, without considering individual finger movements during the manipulation of surgical instruments.