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Christopher Alejandro Flores Jara

Professor

Universidad del Bío-Bío

Concepción, Chile

Líneas de Investigación


I am a researcher focused on natural language processing, machine learning, and biomedical informatics. I am currently developing algorithms for biomedical text classification using regular expressions and active learning.

Educación

  •  Electrical Engineering, UNIVERSIDAD DE CONCEPCION. Chile, 2021
  •  Electrical Engineering, UNIVERSIDAD DE CHILE. Chile, 2017
  •  Electrical Engineering, UNIVERSIDAD DE CONCEPCION. Chile, 2013
  •  Biomedical Engineer, UNIVERSIDAD DE CONCEPCION. Chile, 2015

Experiencia Académica

  •   Lecturer Part Time

    UNIVERSIDAD DE CONCEPCION

    Faculty of Engineering

    Concepción, Chile

    2020 - 2022

  •   Postdoctoral researcher (FONDECYT) Full Time

    Universidad de O'Higgins

    Institute of Engineering Sciences

    Rancagua, Chile

    2021 - 2024

  •   Postdoctoral researcher (FONDEF) Part Time

    UNIVERSIDAD DE CONCEPCION

    Faculty of Engineering

    Concepción, Chile

    2021 - 2022

  •   Lecturer Part Time

    Universidad de O'Higgins

    Rancagua, Chile

    2022 - 2023

  •   Lecturer Part Time

    UNIVERSIDAD CATOLICA DE LA SANTISIMA CONCEPCION

    Faculty of Engineering

    Concepción, Chile

    2016 - 2017

  •   Researcher support staff (FONDEF) Part Time

    Universidad de O'Higgins

    Institute of Engineering Sciences

    Rancagua, Chile

    2023 - A la fecha

Experiencia Profesional

  •   Consultant engineer Full Time

    Servicio de Salud Araucanía Sur

    Temuco, Chile, Chile

    2015 - 2016


 

Article (9)

A Physician's Perspective on the Incorporation of Pictograms as a Supplement to Medical Instructions in Chile: A Pilot Study
A Spatial-Spectral Classification Method Based on Deep Learning for Controlling Pelagic Fish Landings in Chile
An Automated Assessment of Early Math Abilities Based on Digital Games
Combining Regular Expressions and Supervised Algorithms for Clinical Text Classification
A Generic Semi-Supervised and Active Learning Framework for Biomedical Text Classification
A Feature-Based Analysis for Time-Series Classification of COVID-19 Incidence in Chile: A Case Study
Active Learning for Biomedical Text Classification Based on Automatically Generated Regular Expressions
CREGEX: A Biomedical Text Classifier Based on Automatically Generated Regular Expressions
Extracting Information from Electronic Medical Records to Identify the Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures

ConferencePaper (3)

Coverage estimation of multicast OFDM systems based on stochastic geometry
FREGEX: A Feature Extraction Method for Biomedical Text Classification using Regular Expressions
Extracting information from electronic medical records to identify obesity status of a patient based on comorbidities and bodyweight measures
12
Christopher Flores

Professor

Universidad del Bío-Bío

Concepción, Chile

6
Rosa Figueroa

Profesor Asistente

Ingeniería Eléctrica

UNIVERSIDAD DE CONCEPCIÓN

concepcion, Chile

3
Jorge Pezoa

Associate Professor

Electrical Engineering

UNIVERSIDAD DE CONCEPCIÓN

Concepción, Chile

2
Carla Taramasco

Full professor

Universidad Andrés Bello

Viña del Mar, Chile

1
Carla Rimassa

Coordinadora Investigación Escuela Fonoaudiolog{a

Escuela de Fonoaudiología

Universidad de Valparaíso

San Felipe, Chile

1
Sergio Torres

Profesor Titular

Departamento Electrico

UNIVERSIDAD DE CONCEPCION

Concepcion, Chile

1
Francisco Pérez

Postdoc

Ingeniería Eléctrica

Universidad de Concepción

Conncepción, Chile