Banca de QUALIFICAÇÃO: DIEGO HENRIQUE PEGADO BENÍCIO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : DIEGO HENRIQUE PEGADO BENÍCIO
DATE: 19/12/2019
TIME: 10:00
LOCAL: IMD-B321
TITLE:

Application of Text Mining and Natural Language Processing in Electronic Patient Records for text extraction and transformation into structured data

KEY WORDS:

Text mining; Natural Language Processing; Anamnesis; Electronic medical record.

PAGES: 49
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Sistemas de Computação
SPECIALTY: Arquitetura de Sistemas de Computação
SUMMARY:

The patient's medical record is the essential document to ensure comprehensive and continuous care to the patient, providing the history of their health. Over the course of technological evolution, the patient's therapeutic records have shifted from paper records to the electronic medical record. However, the anamnesis is usually inserted through free text fields, leaving to the health professionals the way information is entered. In this way, traditional Structured Query Language queries are unable to retrieve this data. In order to overcome this problem, we apply Text Mining and Natural Language Processing aiming to extract understandable and standardized data. In this sense, the objective of this work is to evaluate and define the appropriate techniques for the Text Mining process on clinical data of adult patients of the Januário Cicco Maternity unit, aiming to retrieve clinical terms and structure them in order to relate them to the pathological diagnosis patterns.

BANKING MEMBERS:
Presidente - 4351681 - JOAO CARLOS XAVIER JUNIOR
Interno - 1644456 - UIRA KULESZA
Externo ao Programa - 1988053 - CARLOS PROLO
Externo ao Programa - 1669545 - DANIEL SABINO AMORIM DE ARAUJO