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Christopher Alejandro Flores Jara

Lecturer

Universidad de Concepción

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

Experiencia Académica

  •   Lecturer Part Time

    UNIVERSIDAD DE CONCEPCION

    Chile

    2020 - A la fecha

Experiencia Profesional

  •   Consultant engineer Full Time

    Servicio de Salud Araucanía Sur

    Temuco, Chile, Chile

    2015 - 2016


 

Article (3)

Active Learning for Biomedical Text Classification Based on Automatically Generated Regular Expressions

Flores, Christopher A.; Figueroa, Rosa L.; Pezoa, Jorge E.

Article ISI
IEEE ACCESS  (2021)

CREGEX: A Biomedical Text Classifier Based on Automatically Generated Regular Expressions

Flores C.A.; Figueroa R.L.; Pezoa J.E.; Zeng-Treitler Q.

Article ISI SCOPUS
IEEE ACCESS  (2020)

Extracting Information from Electronic Medical Records to Identify the Obesity Status of a Patient Based on Comorbidities and Bodyweight Measures

Figueroa, Rosa L.; Flores, Christopher A.

Article ISI SCOPUS
JOURNAL OF MEDICAL SYSTEMS  (2016)

ConferencePaper (3)

Coverage estimation of multicast OFDM systems based on stochastic geometry

Saavedra J.; Flores C.; Busson A.; Duhamel P.

ConferencePaper SCOPUS
4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings  (2019)

FREGEX: A Feature Extraction Method for Biomedical Text Classification using Regular Expressions

Flores C.A.; Figueroa R.L.; Pezoa J.E.

ConferencePaper SCOPUS
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS  (2019)

Extracting information from electronic medical records to identify obesity status of a patient based on comorbidities and bodyweight measures

Figueroa R.L.; Flores C.A.

ConferencePaper SCOPUS
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)  (2015)

6
Christopher Flores

Lecturer

Universidad de Concepción

Concepción, Chile

5
Rosa Figueroa

Profesor Asistente

Ingeniería Eléctrica

UNIVERSIDAD DE CONCEPCIÓN

concepcion, Chile

3
Jorge Pezoa

Associate Professor

Electrical Engineering

UNIVERSIDAD DE CONCEPCIÓN

Concepción, Chile