Predicting cardiac outcomes

Factors Predicting Positive Outcomes

Predicting Foster Child Exit Outcomes

This project is only a predictive exercise, and I cannot claim any causalities. For instance, I found that the number of days spent in foster care is important in predicting the exit outcome of a child. However, I cannot claim that staying longer in foster care causes a child to exit one way or another. There can be other unaccounted variables that impact both the length of stay and the exit ou...

Predicting Software Development Project Outcomes

Case-based reasoning is a flexible methodology to manage software development related tasks. However, when the reasoner’s task is prediction, there are a number of different CBR techniques that could be chosen to address the characteristics of a dataset. We examine several of these techniques to assess their accuracy in predicting software development project outcomes (i.e., whether the project...

Predicting adverse outcomes of cardiac surgery with the application of artificial neural networks.

Risk-stratification models based on pre-operative patient and disease characteristics are useful for providing individual patients with an insight into the potential risk of complications and mortality, for aiding the clinical decision for surgery vs non-surgical therapy, and for comparing the quality of care between different surgeons or hospitals. Our study aimed to apply artificial neural ne...

Decision-tree model for predicting outcomes after out-of-hospital cardiac arrest in the emergency department

INTRODUCTION Estimation of outcomes in patients after out-of-hospital cardiac arrest (OHCA) soon after arrival at the hospital may help clinicians guide in-hospital strategies, particularly in the emergency department. This study aimed to develop a simple and generally applicable bedside model for predicting outcomes after cardiac arrest. METHODS We analyzed data for 390,226 adult patients wh...