Understanding artificial intelligence and predictive analytics: a clinically focused review of machine learning techniques
Understanding Artificial Intelligence and Predictive Analyti... : JBJS Reviews Understanding
Artificial Intelligence and Predictive Analytics: A Clinically Focused Review of Machine …
Artificial Intelligence and Predictive Analytics: A Clinically Focused Review of Machine …
Development of a Surgery-Specific Comorbidity Score for Use in Administrative Data
Objective: To create a novel comorbidity score tailored for surgical database research.
Summary Background Data: Despite their use in surgical research, the Elixhauser (ECI) and …
Summary Background Data: Despite their use in surgical research, the Elixhauser (ECI) and …
A self-care prediction model for children with disability based on genetic algorithm and extreme gradient boosting
Detecting self-care problems is one of important and challenging issues for occupational
therapists, since it requires a complex and time-consuming process. Machine learning …
therapists, since it requires a complex and time-consuming process. Machine learning …
Linear and ensembling regression based health cost insurance prediction using machine learning
M Shyamala Devi, P Swathi… - … : Proceedings of the …, 2021 - Springer
The health insurance is an important big eye-openers during the emergency need during
accidents and disease pandemic situations. Many of the people will lag to hit financially and …
accidents and disease pandemic situations. Many of the people will lag to hit financially and …
Forecasting key retail performance indicators using interpretable regression
Foot traffic, conversion rate, and total sales during a period of time may be considered to be
important indicators of store performance. Forecasting them may allow for business …
important indicators of store performance. Forecasting them may allow for business …
Retail Indicators Forecasting and Planning
We present a methodology to handle the problem of planning sales goals. The methodology
supports the retail manager to carry out simulations to find the most plausible goals for the …
supports the retail manager to carry out simulations to find the most plausible goals for the …
Nurse allocation in hospital: hybridization of linear regression, fuzzy set and game-theoretic approaches
Sufficient numbers of staff are required for any hospital for providing better services to
patients with satisfactory treatment. In most hospitals, the patient's treatment and care …
patients with satisfactory treatment. In most hospitals, the patient's treatment and care …
Role of Feature Selection in Healthcare 4.0
In healthcare 4.0 industry, feature selection plays a significant role in performance of the
prediction models. Feature selection provides a platform to improve the accuracy of the …
prediction models. Feature selection provides a platform to improve the accuracy of the …
[PDF][PDF] Prediciendo indicadores en retail
Profesor Asociado del Departamento de Ciencias de la Computación de la Universidad de
Chile, y profesor visitante regular en las universidades de Waseda, Japón, y de Duisburg …
Chile, y profesor visitante regular en las universidades de Waseda, Japón, y de Duisburg …
[PDF][PDF] Structured Abstract
NLC MD, J Balian, BS Arjun Verma, SS MS, N Yong… - yvle.net
Untitled Page 1 Page 2 Nikhil L Chervu MD MS, Jeff Balian, Arjun Verma BS, Sara Sakowitz
MS MPH, Nam Yong Cho BS, Saad Mallick MD, Tara A Russell MD MPH PhD, Peyman …
MS MPH, Nam Yong Cho BS, Saad Mallick MD, Tara A Russell MD MPH PhD, Peyman …