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 …
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 …
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 …
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 …
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 …
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 …
(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
The “International Society for Heart and Lung Transplantation Guidelines for the Evaluation
and Care of Cardiac Transplant Candidates—2024” updates and replaces the “Listing …
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
Background The prediction of posttransplant health outcomes for pediatric heart
transplantation is critical for risk stratification and high-quality posttransplant care. Objective …
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 …
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 …
artificial intelligence (AI) applications in healthcare for the year 2022. Both the quantity and …