Predicting inpatient length of stay in a Portuguese hospital using the CRISP-DM methodology

被引：0

作者：

Previsão de tempos de internamento num hospital português: Aplicação da metodologia CRISP-DM

机构：

[1] Laureano, Raul M.S.

[2] Caetano, Nuno

[3] Cortez, Paulo

来源：

| 1600年 / Associacao Iberica de Sistemas e Tecnologias de Informacao卷

关键词：

CRISP-DM - High quality - Input features - Length of stay - Prediction model - Random forest algorithm - Regression;

D O I：

10.4304/risti.13.83-98

中图分类号：

学科分类号：

摘要：

Using data collected from a Portuguese hospital, within the period 2000 to 2013, we adopted the CRISP-DM methodology to predict inpatient length of stay. The best method (random forest algorithm) achieved a high quality prediction. Such model allowed the identification of the most relevant input features, which are related with the patients' clinical attributes.

引用

页码：83 / 98

共 50 条

[11] PREDICTING INPATIENT REHABILITATION LENGTH OF STAY
STINEMAN, MG
WILLIAMS, SV
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, 1990, 71 (11): : 881 - 887
[12] Transactional data-based customer segmentation applying CRISP-DM methodology: A systematic review
Serhat Peker
Özge Kart
Journal of Data, Information and Management, 2023, 5 (1-2): : 1 - 21
[13] EnLEFD-DM: Ensemble Learning based Ethereum Fraud Detection using CRISP-DM framework
Pahuja, Lavina
Kamal, Ahmad
EXPERT SYSTEMS, 2023, 40 (09)
[14] Addressing the issue of undeclared work - Part I: Applying associative classification per the CRISP-DM methodology
Alogogianni, Eleni
Virvou, Maria
INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS, 2021, 15 (04): : 721 - 747
[15] Application of CRISP-DM methodology for managing human-wildlife conflicts: an empirical case study in India
Krishnaswamy, Venkataraghavan
Singh, Nitin
Sharma, Mayank
Verma, Neha
Verma, Amit
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2023, 66 (11) : 2247 - 2273
[16] FACTORS PREDICTING INPATIENT LENGTH OF STAY IN A CMHC
CHANG, G
BRENNER, L
BRYANT, K
HOSPITAL AND COMMUNITY PSYCHIATRY, 1991, 42 (08): : 853 - 855
[17] Implementation of an intelligent process monitoring system for screw presses using the CRISP-DM standard
Doede, Nils
Merkel, Paulina
Kriwall, Mareile
Stonis, Malte
Behrens, Bernd-Arno
PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT, 2025, 19 (01): : 77 - 88
[18] A methodology for timing reviews of inpatient hospital stay
Page, AC
Hooke, GR
Rampono, J
AUSTRALIAN AND NEW ZEALAND JOURNAL OF PSYCHIATRY, 2005, 39 (03): : 198 - 201
[19] Web Scraping Scientific Repositories for Augmented Relevant Literature Search Using CRISP-DM
Hassanien, Hossam El-Din
APPLIED SYSTEM INNOVATION, 2019, 2 (04) : 1 - 22
[20] Predicting Hospital Stay Length Using Explainable Machine Learning
Alsinglawi, Belal S.
Alnajjar, Fady
Alorjani, Mohammed S.
Al-Shari, Osama Mohammed
Munoz, Mauricio Novoa
Mubin, Omar
IEEE ACCESS, 2024, 12 : 90571 - 90585

← 1 2 3 4 5 →