• Predictive modeling for presumptive diagnosis of type 2 diabetes mellitus based on symptomatic analysis

      Barrios, Ordonez; Alberto, Diego; Infantes, Vizcarra; Raphael, Erick; Aguirre, Armas; Alexander, Jimmy (Institute of Electrical and Electronics Engineers Inc., 2017-08)
      The purpose of using Predictive Modeling for presumptive diagnosis of Type 2 Diabetes Mellitus based on symptomatic analysis is the optimization of the diagnosis phase of the disease through the process of evaluating symptomatic characteristics and daily habits, allowing the forecasting of T2DM without the need of medical exams through predictive analysis. The tool used was SAP Predictive Analytics and in order to identify the most suitable algorithm for the prediction, we evaluated them based on precision and false positive/negative relations, having found the Auto Classification algorithm as the most accurate with a 91.7% precision and a better correlation between false positives (8) and false negatives (3).
    • Software defined radio for hands-on communication theory

      Miyashiro, Hector; Medrano, Melissa; Huarcaya, Jose; Lezama, Jinmi (Institute of Electrical and Electronics Engineers Inc., 2017-08)
      Based on a workshop developed at INICTEL-UNI, this paper presents the methodology and considerations taken to improve the experiences in communication laboratory sessions in Peruvian universities with Software Defined Radio platforms, using a HackRF-One for transmission and a RTL-SDR for reception together with GNUradio Companion, an open source software. The use of these tools allows real communications to be implemented with low cost, simplicity and flexibility that represents a perfect combination for undergraduate laboratory sessions. In addition, it is also presented an 8-PSK communication system implementation as an experience to digital communications as a viability of this proposal.