Machine learning techniques in cardiac risk assessment

Reservoir Uncertainty Assessment Using Machine Learning Techniques

Petroleum exploration and production are associated with great risk because of the uncertainty on subsurface conditions. Understanding the impact of those uncertainties on the production performance is a crucial part in the decision making process.Traditionally, uncertainty assessment is performed using experimental design and response surface method, in which a number of training points are se...

HbA1c in Polycystic Ovary Syndrome as the Cardiac Risk Assessment

Objective: Polycystic ovary syndrome (PCOS) is an endocrine disorder associated with hyperandrogenism marked with hirsutism and ovarian dysfunction. These conditions may lead to the risk of insulin resistance (IR), type 2 diabetes, obesity, and cardiovascular disease. These conditions are related to PCOS complications hence our aim was to study and investigate the relationship between high-sens...

An Assessment of Machine Learning Techniques for Review Recommendation

In this paper, we consider a classification-based approach to the recommendation of user-generated product reviews. In particular, we develop review ranking techniques that allow the most helpful reviews for a particular product to be recommended, thereby facilitating users to readily asses the quality of the product in question. We apply a supervised machine learning approach to this task and ...

Machine Learning Techniques

Alzheimer's Disease Risk Assessment Using Large-Scale Machine Learning Methods

The goal of this work is to introduce new metrics to assess risk of Alzheimer's disease (AD) which we call AD Pattern Similarity (AD-PS) scores. These metrics are the conditional probabilities modeled by large-scale regularized logistic regression. The AD-PS scores derived from structural MRI and cognitive test data were tested across different situations using data from the Alzheimer's Disease...