Machine learning in the prediction of medical inpatient length of stay

S Bacchi, Y Tan, L Oakden‐Rayner… - Internal medicine …, 2022 - Wiley Online Library
Length of stay (LOS) estimates are important for patients, doctors and hospital
administrators. However, making accurate estimates of LOS can be difficult for medical …

[HTML][HTML] A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data

G Harerimana, JW Kim, B Jang - Journal of biomedical informatics, 2021 - Elsevier
Abstract Leveraging the Electronic Health Records (EHR) longitudinal data to produce
actionable clinical insights has always been a critical issue for recent studies. Non …

Cheating among elementary school children: A machine learning approach

L Zhao, Y Zheng, J Zhao, G Li, BJ Compton… - Child …, 2023 - Wiley Online Library
Academic cheating is common, but little is known about its early emergence. It was
examined among Chinese second to sixth graders (N= 2094; 53% boys, collected between …

Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients

T Zang, Y Zhu, X Huang, X Yang, Q Chen, J Yu… - Artificial Intelligence in …, 2023 - Elsevier
This paper focuses on predicting the length of stay for patients on the first day of admission
and propose a predictive model named DGLoS. In order to capture the influence of various …

Predicting patient length of stay using artificial intelligence to assist healthcare professionals in resource planning and scheduling decisions

Y Alnsour, M Johnson, A Albizri… - Journal of Global …, 2023 - igi-global.com
Artificial intelligence (AI) significantly revolutionizes and transforms the global healthcare
industry by improving outcomes, increasing efficiency, and enhancing resource utilization …

Application of machine learning techniques to analyze patient returns to the emergency department

A Sarasa Cabezuelo - Journal of personalized medicine, 2020 - mdpi.com
The study of the quality of hospital emergency services is based on analyzing a set of
indicators such as the average time of first medical attention, the average time spent in the …

Beyond the Bedside: Machine Learning-Guided Length of Stay (LOS) Prediction for Cardiac Patients in Tertiary Care

S AlMuhaideb, A bin Shawyah, MF Alhamid, A Alabbad… - Healthcare, 2024 - mdpi.com
Efficient management of hospital resources is essential for providing high-quality healthcare
while ensuring sustainability. Length of stay (LOS), measuring the duration from admission …

人工智能方法在探究小学生作业作弊行为及其关键预测因子中的应用

赵立, 郑怡, 赵均榜, 张芮, 方方, 傅根跃, 李康 - 心理学报, 2024 - journal.psych.ac.cn
小学生作业作弊是心理学领域忽略已久的研究重点, 机器学习是数智时代新兴的人工智能科学.
笔者对2, 098 名2 至6 年级小学生进行问卷调查, 采用机器学习法, 考察个体认知, 道德判断 …

IBA-VNS: A Logic-Based Machine Learning Algorithm and Its Application in Surgery

N Čolić, P Milošević, I Dragović, MS Ćeranić - Mathematics, 2024 - mdpi.com
The interpretability and explainability of machine learning (ML) approaches play a key role
in the trustworthiness of ML models in various applications. The objective of this paper is to …

A Natural Language Processing Framework for Hotel Recommendation Based on Users' Text Reviews

L Aravani, E Pintelas, C Pierrakeas… - arXiv preprint arXiv …, 2024 - arxiv.org
Recently, the application of Artificial Intelligence algorithms in hotel recommendation
systems has become an increasingly popular topic. One such method that has proven to be …