Text Mining Applied to Electronic Medical Records: A Literature Review

被引：17

作者：

Pereira, Luis ^{[1
]}

Rijo, Rui ^{[1
]}

Silva, Catarina ^{[1
]}

Martinho, Ricardo ^{[1
]}

机构：

[1] Polytech Inst Leiria, Sch Technol & Management, Leiria, Portugal

来源：

INTERNATIONAL JOURNAL OF E-HEALTH AND MEDICAL COMMUNICATIONS | 2015年 / 6卷 / 03期

关键词：

Data Mining; Electronic Medical Records; Healthcare Informatics; ICD Codes; Machine Learning; Text Mining;

D O I：

10.4018/IJEHMC.2015070101

中图分类号：

R-058 [];

学科分类号：

摘要：

The analysis of medical records is a major challenge, considering they are generally presented in plain text, have a very specific technical vocabulary and are nearly always unstructured. It is an interdisciplinary work that requires knowledge from several fields. The analysis may have several goals, such as assistance on clinical decision, classification of medical procedures, and to support hospital management decisions. This work presents the concepts involved, the relevant existent related work, and the main open issues for future research within the analysis of electronic medical records, using data and text mining techniques. It provides a comprehensive contextualization to all those who wish to perform an analytical work of medical records, enabling the identification of fruitful research fields. With the digitalization of medical records and the large amount of medical data available, this is an area of wide research potential.

引用

页码：1 / 18

页数：18

共 50 条

[41] Privacy Challenges in Electronic Medical Records: A Systematic Review [J].

Rahim, Fiza Abdul ;

Ismail, Zuraini ;

Samy, Ganthan Narayana .

PROCEEDING OF KNOWLEDGE MANAGEMENT INTERNATIONAL CONFERENCE (KMICE) 2014, VOLS 1 AND 2, 2014, :584-588

[42] A REVIEW ON METHODOLOGY OF TEXT MINING [J].

Gautam, Divya ;

Pandey, Ritvik .

INTERNATIONAL JOURNAL OF LIFE SCIENCE AND PHARMA RESEARCH, 2018, :94-100

[43] Implementation and Use of Disease Diagnosis Systems for Electronic Medical Records Based on Machine Learning: A Complete Review [J].

Latif, Jahanzaib ;

Xiao, Chuangbai ;

Tu, Shanshan ;

Rehman, Sadaqat Ur ;

Imran, Azhar ;

Bilal, Anas .

IEEE ACCESS, 2020, 8 :150489-150513

[44] Mining Electronic Health Records [J].

Ramakrishnan, Naren ;

Hanauer, David A. ;

Keller, Benjamin J. .

COMPUTER, 2010, 43 (10) :77-81

[45] Citywide quality of health information system through text mining of electronic health records [J].

Anastasia A. Funkner ;

Michil P. Egorov ;

Sergey A. Fokin ;

Gennady M. Orlov ;

Sergey V. Kovalchuk .

Applied Network Science, 6

[46] Development of a text mining algorithm for identifying adverse drug reactions in electronic health records [J].

van de Burgt, Britt W. M. ;

Wasylewicz, Arthur T. M. ;

Dullemond, Bjorn ;

Jessurun, Naomi T. ;

Grouls, Rene J. E. ;

Bouwman, R. Arthur ;

Korsten, Erik H. M. ;

Egberts, Toine C. G. .

JAMIA OPEN, 2024, 7 (03)

[47] VENTURE CAPITAL FOR THE ENTREPRENEURIAL UNIVERSITY: A TEXT MINING REVIEW OF THE LITERATURE [J].

Petroni, A. ;

Galati, F. ;

Carmignani, D. ;

Filippelli, S. ;

Garziera, R. .

11TH INTERNATIONAL CONFERENCE OF EDUCATION, RESEARCH AND INNOVATION (ICERI2018), 2018, :3398-3402

[48] A Systematic Literature Review of Sexual Harassment Studies with Text Mining [J].

Karami, Amir ;

Spinel, Melek Yildiz ;

White, C. Nicole ;

Ford, Kayla ;

Swan, Suzanne .

SUSTAINABILITY, 2021, 13 (12)

[49] Twitter and Research: A Systematic Literature Review Through Text Mining [J].

Karami, Amir ;

Lundy, Morgan ;

Webb, Frank ;

Dwivedi, Yogesh K. .

IEEE ACCESS, 2020, 8 :67698-67717

[50] Systematic Literature Review Of Hate Speech Detection With Text Mining [J].

Rini ;

Utami, Ema ;

Hartanto, Anggit Dwi .

PROCEEDINGS OF ICORIS 2020: 2020 THE 2ND INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEM (ICORIS), 2020, :228-233

← 1 2 3 4 5 →