Abstract: One or more techniques and/or systems are disclosed that provide for document retrieval where a user can identify key attributes of potential target documents that are desirable (e.g., have a particular semantic content for the user). Further, relevant documents that comprise the desired semantic content can be retrieved. Additionally, the user can provide feedback on the retrieved documents, for example, based on key semantic concepts found in the documents, and the input can be used to update the classification. For example, this process can be iterated to improve the retrieval and precision of documents found through machine learning techniques.

Abstract: A method may use a genetic algorithm to varying prediction parameters in forecasting software to obtain optimal predictions is disclosed. The method identifies parameters that can be varied and by modifying the parameters, the predictions of the forecasting software improve. The method uses sample data to train and validate the forecast and the optimal forecasting parameters are determined.

Abstract: One or more techniques and/or systems are disclosed that provide for document retrieval where a user can identify key attributes of potential target documents that are desirable (e.g., have a particular semantic content for the user). Further, relevant documents that comprise the desired semantic content can be retrieved. Additionally, the user can provide feedback on the retrieved documents, for example, based on key semantic concepts found in the documents, and the input can be used to update the classification. For example, this process can be iterated to improve the retrieval and precision of documents found through machine learning techniques.

Abstract: The synchronous semantic processing technique described herein provides the level of completeness of a document in real-time as a user is creating or editing the document and provides recommendations to the user to increase the level of completeness. In one embodiment, the level of completeness of a medical document, and the state of the components of the document that are used to determine level, are used to make recommendations to a user (e.g., a physician) to provide additional information for the components that determine the level, thereby increasing the level. The level of medical documentation can be represented by an Evaluation and Management (E&M) coding level, which is a U.S. standard defined to evaluate how comprehensive a medical document is. The E&M level is used to determine the completeness of the medical document and to make recommendations to the user to improve the quality and the completeness of the document.