Real-Time decision support using data mining to predict blood pressure critical events in intensive medicine patients

Patient blood pressure is an important vital signal to the physicians take a decision and to better understand the patient condition. In Intensive Care Units is possible monitoring the blood pressure due the fact of the patient being in continuous monitoring through bedside monitors and the use of sensors. The intensivist only have access to vital signs values when they look to the monitor or consult the values hourly collected. Most important is the sequence of the values collected, i.e., a set of highest or lowest values can signify a critical event and bring future complications to a patient as is Hypotension or Hypertension. This complications can leverage a set of dangerous diseases and side-effects. The main goal of this work is to predict the probability of a patient has a blood pressure critical event in the next hours by combining a set of patient data collected in real-time and using Data Mining classification techniques. As output the models indicate the probability (%) of a patient has a Blood Pressure Critical Event in the next hour. The achieved results showed to be very promising, presenting sensitivity around of 95%.

The construction of professional identities in the contexts of work

This chapter identifies and analyzes some characteristics of working situations that are important in the construction of professional identities. It is claimed that professional identity presumes a dynamic process and is constructed and reconstructed in social situations and interactions. Work has a central place in the life of individuals and societies. The contexts of work are places par excellence for investment, expression, negotiation and recognition of the actor themselves and of others. They are, thus, situations for the attribution offeelings about work, ofrelational transactions, oflearning and production of professional know ledge, which are fundamental elements in the (re )construction of professional identity and which are emphasized here below.

Synthetic biology approaches to shape bacteriophages towards Pseudomonas aeruginosa biofilm control

Dissertation for Ph.D. degree in Biomedical Engineering.