Machine learning methods for hospital readmission prediction: systematic analysis of literature
T Chen, S Madanian, D Airehrour… - Journal of Reliable …, 2022 - Springer
Hospital readmission is one of the challenges that force an extra pressure and financial
burden on healthcare and causes a significant waste of medical resources. However, some …
burden on healthcare and causes a significant waste of medical resources. However, some …
The role of Hospital-Based Cancer Registries (HBCRs) as information systems in the delivery of evidence-based integrated cancer care: a scoping review
Cancer is a leading cause of mortality, with 10 million deaths in 2020. With the number of
people impacted by cancer projected to increase, a better-integrated cancer care is needed …
people impacted by cancer projected to increase, a better-integrated cancer care is needed …
A machine learning algorithm to predict the probability of (occult) posterior malleolar fractures associated with tibial shaft fractures to guide “malleolus first” fixation
LAM Hendrickx, GL Sobol… - … of orthopaedic trauma, 2020 - journals.lww.com
Objectives: To develop an accurate machine learning (ML) predictive model incorporating
patient, fracture, and trauma characteristics to identify individual patients at risk of an (occult) …
patient, fracture, and trauma characteristics to identify individual patients at risk of an (occult) …
A guided neural network approach to predict early readmission of diabetic patients
Diabetes is a major chronic health problem affecting millions globally. Effective diabetes
management can reduce the risk of hospital readmission and the associated financial losses …
management can reduce the risk of hospital readmission and the associated financial losses …
Predicting the risk of hospital readmissions using a machine learning approach: a case study on patients undergoing skin procedures
J Adhiya, B Barghi, N Azadeh-Fard - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
Introduction Even with modern advancements in medical care, one of the persistent
challenges hospitals face is the frequent readmission of patients. These recurrent …
challenges hospitals face is the frequent readmission of patients. These recurrent …
Association rules mining for Hospital readmission: a case study
As an indicator of healthcare quality and performance, hospital readmission incurs major
costs for healthcare systems worldwide. Understanding the relationships between …
costs for healthcare systems worldwide. Understanding the relationships between …
Comparison of Back-Propagation neural network, LACE Index and HOSPITAL score in predicting all-cause risk of 30-day readmission
C Lin, S Hsu, HF Lu, LF Pan, YH Yan - Risk Management and …, 2021 - Taylor & Francis
Background The main purpose of this study is to predict the all-cause risk of 30-day
readmission by employing the back-propagation neural network (BPNN) in comparison with …
readmission by employing the back-propagation neural network (BPNN) in comparison with …
Review of prediction analytics studies on readmission for the chronic conditions of CHF and COPD: utilizing the PRISMA method
O Ben-Assuli - Information Systems Management, 2021 - Taylor & Francis
Hospital readmission for chronic illness is a ubiquitous phenomenon that is a major
contributor to the growing costs of the healthcare sector. Here, PRISMA was used to identify …
contributor to the growing costs of the healthcare sector. Here, PRISMA was used to identify …
Acquisition of patients' EHR information under ED congestion–an empirical investigation
We examine the information acquisition process regarding a patient's status under
emergency department (ED) congestion conditions. We focus on two key information …
emergency department (ED) congestion conditions. We focus on two key information …
[PDF][PDF] Machine Learning Approach for Foot-side Classification using a Single Wearable Sensor.
J Choi, JH Youn, C Haas - ICIS, 2019 - scholar.archive.org
Gait analysis is a common technique used to identify problems related to movement and
posture in people with injuries, and foot-side detection is one of its important challenges. As …
posture in people with injuries, and foot-side detection is one of its important challenges. As …