Risk factors for length of NICU stay of newborns: A systematic review

M Fu, W Song, G Yu, Y Yu, Q Yang - Frontiers in pediatrics, 2023 - frontiersin.org
Background The improvement in survival of preterm infants is accompanied by an increase
in neonatal intensive care unit (NICU) admissions. Prolonged length of stay in the NICU …

Predicting the length-of-stay of pediatric patients using machine learning algorithms

N Boff Medeiros, FS Fogliatto… - … Journal of Production …, 2023 - Taylor & Francis
The management of hospitals' resource capacity has a strong impact on the quality of care,
and the length-of-stay (LOS) of patients is an indicator that reflects its efficiency and …

The transformative potential of artificial intelligence in solid organ transplantation

M Al Moussawy, ZS Lakkis, ZA Ansari… - Frontiers in …, 2024 - frontiersin.org
Solid organ transplantation confronts numerous challenges ranging from donor organ
shortage to post-transplant complications. Here, we provide an overview of the latest …

Predicting length of stay ranges by using novel deep neural networks

H Zou, W Yang, M Wang, Q Zhu, H Liang, H Wu… - Heliyon, 2023 - cell.com
Background and aims Accurately predicting length of stay (LOS) is considered a challenging
task for health care systems globally. In previous studies on LOS range prediction …

Machine Learning Model for Predicting Risk Factors of Prolonged Length of Hospital Stay in Patients with Aortic Dissection: a Retrospective Clinical Study

L Li, Y Chen, H Xie, P Zheng, G Mu, Q Li… - Journal of …, 2024 - Springer
The length of hospital stay (LOS) is crucial for assessing medical service quality. This study
aimed to develop machine learning models for predicting risk factors of prolonged LOS in …

Creating a Risk Score for Prolonged Length of Stay Following Pediatric Lung Transplants

M DiLeo, R Thapar, A Montgomery… - Pediatric …, 2024 - Wiley Online Library
Background Pediatric lung transplant (LT) outcomes correlate with prolonged length of stay
(pLOS), yet a paucity of research exists predicting pLOS in this population. We aim to identify …

International Society for Heart and Lung Transplantation Guidelines for the Evaluation and Care of Cardiac Transplant Candidates—2024

Y Peled, A Ducharme, M Kittleson, N Bansal… - The Journal of Heart and …, 2024 - Elsevier
The “International Society for Heart and Lung Transplantation Guidelines for the Evaluation
and Care of Cardiac Transplant Candidates—2024” updates and replaces the “Listing …

[HTML][HTML] Prediction of Outcomes After Heart Transplantation in Pediatric Patients Using National Registry Data: Evaluation of Machine Learning Approaches

MO Killian, S Tian, A Xing, D Hughes, D Gupta… - JMIR cardio, 2023 - cardio.jmir.org
Background The prediction of posttransplant health outcomes for pediatric heart
transplantation is critical for risk stratification and high-quality posttransplant care. Objective …

上消化道癌及癌前病变高危人群预测模型研究

张志宏, 崔王飞, 王新正, 曹凌, 张永贞 - 中国癌症防治杂志, 2023 - zgazfz.com
目的分析上消化道癌及癌前病变的危险因素, 构建上消化道癌高危人群预测模型,
识别上消化道癌高危群体. 方法选取2020 年6 月至2021 年12 月参加山西省阳城县“农村上消化 …

[PDF][PDF] Artificial Intelligence in Healthcare: 2022 Year in Review

MSC Raghav Awasthi, JB Cywinski, AK Khanna… - researchgate.net
The purpose of this review is to provide a comprehensive review of publications related to
artificial intelligence (AI) applications in healthcare for the year 2022. Both the quantity and …