AIMC Topic: Health Expenditures
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Artificial neural network-driven approaches to improved forecasting of disability care expenditures in an aging Kingdom of Saudi Arabia population.
Scientific reports
Jul 1, 2025
The total number of older persons globally (those aged 60 years and above) was 202 million in 1950; this total multiplied to attain 901 million and is predicted to triple again in 2100. The growth percentage of the elderly population is quickly impro...
Entity-enhanced BERT for medical specialty prediction based on clinical questionnaire data.
PloS one
Jan 30, 2025
A medical specialty prediction system for remote diagnosis can reduce the unexpected costs incurred by first-visit patients who visit the wrong hospital department for their symptoms. To develop medical specialty prediction systems, several researche...
Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection.
BMC health services research
Jan 20, 2025
Revascularization therapies, such as percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG), alleviate symptoms and treat myocardial ischemia. Patients with multivessel disease, particularly those undergoing 3-vessel PCI,...
Synergistic pathways for health investment and economic development in China: a fuzzy-set qualitative comparative analysis.
Frontiers in public health
Oct 1, 2024
BACKGROUND: System coordination is an effective way to achieve high-quality development, and the debate on the interaction between health investment and economic development is still ongoing. To strengthen previous research and offer feasible advice ...
Prediction of pharmaceutical and non-pharmaceutical expenditures associated with Diabetes Mellitus type II based on clinical risk.
PloS one
Jun 4, 2024
OBJECTIVE: To assess the effectiveness of different machine learning models in estimating the pharmaceutical and non-pharmaceutical expenditures associated with Diabetes Mellitus type II diagnosis, based on the clinical risk index determined by the a...
Machine learning models of healthcare expenditures predicting mortality: A cohort study of spousal bereaved Danish individuals.
PloS one
Aug 7, 2023
BACKGROUND: The ability to accurately predict survival in older adults is crucial as it guides clinical decision making. The added value of using health care usage for predicting mortality remains unexplored. The aim of this study was to investigate ...
Increased cost burden associated with robot-assisted rectopexy: do patient outcomes justify increased expenditure?
Surgical endoscopy
Oct 31, 2022
BACKGROUND: Robot-assisted surgical techniques have flourished over the years, with refinement in instrumentation and optics allowing for adaptation and increasing utilization across surgical fields. Transabdominal rectopexy with mesh for rectal prol...
Robot-assisted and conventional urology surgical procedures: comparison of average length of stay, economic status, operative time and patient's expenditure in a tertiary care hospital of North India.
Journal of robotic surgery
Mar 30, 2022
Robot-assisted surgeries allows the surgeons to operate using remote-controlled robotic arms that are more effective in comparison to conventional (open/laparoscopic) surgeries. However, there is substantial lack of evidence on the effectiveness of r...
Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach.
Journal of cancer policy
Oct 29, 2021
OBJECTIVE: To evaluate the association of low-value care with excess out-of-pocket expenditure among older adults diagnosed with incident breast, prostate, colorectal cancers, and Non-Hodgkin's Lymphoma.
Patients' Preferences for Artificial Intelligence Applications Versus Clinicians in Disease Diagnosis During the SARS-CoV-2 Pandemic in China: Discrete Choice Experiment.
Journal of medical Internet research
Feb 23, 2021
BACKGROUND: Misdiagnosis, arbitrary charges, annoying queues, and clinic waiting times among others are long-standing phenomena in the medical industry across the world. These factors can contribute to patient anxiety about misdiagnosis by clinicians...
Patient Preference
Choice Behavior
Diagnostic Techniques and Procedures
Logistic Models
Health Expenditures
Diagnosis
SARS-CoV-2
Aged
Aged, 80 and over
Surveys and Questionnaires
Young Adult
Adult
COVID-19
Latent Class Analysis
Humans
Male
Physicians
Adolescent
Middle Aged
Female
Artificial Intelligence
Time Factors
China
Pandemics
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