Predicting the prolonged length of stay of general surgery patients: a supervised learning approach-Reference-Cited by-同舟云学术

Predicting the prolonged length of stay of general surgery patients: a supervised learning approach

Published:2016-05-30 Issue:1 Volume:25 Page:75-90
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Intl. Trans. in Op. Res.

Author:

Chuang Mao-Te¹,Hu Ya-han²,Lo Chia-Lun³

Affiliation:

1. Department of Surgery; St. Martin De Porres Hospital; Chiayi Taiwan

2. Department of Information Management and Institute of Healthcare Information Management; National Chung Cheng University; Chiayi County Taiwan

3. Department of Health-Business Administration; Fooyin University; Kaohsiung Taiwan

Funder

Ministry of Science and Technology of the People's Republic of China

St. Martin De Porres Hospital

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/itor.12298/fullpdf

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