摘要 |
<p>Systems and methods are provided for predicting rare events, such as hospitalization events. A set of data records, each containing multiple attributes with one or more values (which may include an "unknown" value), may represent a root node of a decision tree. This root node may be partitioned based on one of the attributes, such that the concentration (e.g., "purity") of a relevant outcome (e.g., the rare event) is increased in one node and decreased in another. This process may be repeated until a decision tree with sufficiently pure leaf nodes is created. This "purified" decision tree may then be used to predict one or more rare events.
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申请人 |
AIR PRODUCTS AND CHEMICALS, INC. |
发明人 |
MAGENT, MICHAEL ANDREW;NEOGI, DEBASHIS;MEHTA, SANJAY;JENKINS, JEAN;WARING, MALCOLM MERITT;LEWIS, CHARLES ROLAND;TOTH, MICHAEL S.;GLICK, GREGORY ROBERT;BARBIERI, ROBERT S.;PETIT, CECILIA ANNA PAULETTE |