Bayesian hierarchical rule modeling for predicting medical conditions
نویسندگان
چکیده
منابع مشابه
Bayesian Hierarchical Rule Modeling for Predicting Medical Conditions
We propose a statistical modeling technique, called the Hierarchical Association Rule Model (HARM), that predicts a patient’s possible future medical conditions given the patient’s current and past history of reported conditions. The core of our technique is a Bayesian hierarchical model for selecting predictive association rules (such as “condition 1 and condition 2 → condition 3”) from a larg...
متن کاملBayesian Hierarchical Rule Modeling for Predicting Medical Conditions1,2 by Tyler
We propose a statistical modeling technique, called the Hierarchical Association Rule Model (HARM), that predicts a patient’s possible future medical conditions given the patient’s current and past history of reported conditions. The core of our technique is a Bayesian hierarchical model for selecting predictive association rules (such as “condition 1 and condition 2 → condition 3”) from a larg...
متن کاملMASSACHUSETTS INSTITUTE OF TECHNOLOGY by Bayesian Hierarchical Rule Modeling for Predicting Medical Conditions OR 385 - 11 Tyler H . McCormick
We propose a statistical modeling technique, called the Hierarchical Association Rule Model (HARM), that predicts a patient's possible future medical conditions given the patient's current and past history of reported conditions. The core of our technique is a Bayesian hierarchical model for selecting predictive association rules (such as " condition 1 and condition 2 → condition 3 ") from a la...
متن کاملEntropy Based Fuzzy Rule Weighting for Hierarchical Intrusion Detection
Predicting different behaviors in computer networks is the subject of many data mining researches. Providing a balanced Intrusion Detection System (IDS) that directly addresses the trade-off between the ability to detect new attack types and providing low false detection rate is a fundamental challenge. Many of the proposed methods perform well in one of the two aspects, and concentrate on a su...
متن کاملHierarchical Bayesian Models for Predicting The Spread of Ecological Processes
There is increasing interest in predicting ecological processes. Methods to accomplish such predictions must account for uncertainties in observation, sampling, models, and parameters. Statistical methods for spatio-temporal processes are powerful, yet difficult to implement in complicated, high-dimensional settings. However, recent advances in hierarchical formulations for such processes can b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Annals of Applied Statistics
سال: 2012
ISSN: 1932-6157
DOI: 10.1214/11-aoas522