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 …

The role of Hospital-Based Cancer Registries (HBCRs) as information systems in the delivery of evidence-based integrated cancer care: a scoping review

S Tripathee, SJ MacLennan, A Poobalan, MI Omar… - Health …, 2024 - Taylor & Francis
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 …

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) …

A guided neural network approach to predict early readmission of diabetic patients

AA Ram, Z Ali, V Krishna, N Nishika, A Sharma - IEEE Access, 2023 - ieeexplore.ieee.org
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 …

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 …

Association rules mining for Hospital readmission: a case study

NH Miswan, IM Sulaiman, CS Chan, CG Ng - Mathematics, 2021 - mdpi.com
As an indicator of healthcare quality and performance, hospital readmission incurs major
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 …

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 …

Acquisition of patients' EHR information under ED congestion–an empirical investigation

O Ben-Assuli, D Gefen, N Shamir - Health Systems, 2024 - Taylor & Francis
We examine the information acquisition process regarding a patient's status under
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 …