Patent application number | Description | Published |
20080201280 | MEDICAL ONTOLOGIES FOR MACHINE LEARNING AND DECISION SUPPORT - A medical ontology may be used for computer assisted clinical decision support. Multi-level and/or semantically grouped medical ontology is incorporated into a machine learning algorithm. The resulting machine-learnt algorithm outputs information to assist in clinical decisions. For example, a patient record is input to the algorithm. Based on the incorporated medical ontology, similarities are aggregated in different groups. An aggregate similarity of at least one group is a function of an aggregate similarity of at least another group. One or more similar patients and/or outcomes are identified based on similarity. Probability based outputs may be provided. | 08-21-2008 |
20110295790 | SYSTEM AND METHOD FOR PROVIDING INSTANCE INFORMATION DATA OF AN INSTANCE - A method and system for providing instance information data of at least one instance. The method has the steps of generating a semantic representation of the instance on the basis of at least one instance data source, providing a semantic representation of a domain on the basis of at least one structured domain data source, performing an integration of the semantic instance and domain representations to provide an integrated semantic representation and deriving automatically instance information data from the provided integrated semantic representation. The method and system allow to provide efficiently instance information data of a wide range of instances with technical entities and persons, in a particular patients in different domains such as radiology or anatomy. | 12-01-2011 |
20120296910 | METHOD AND SYSTEM FOR RETRIEVING INFORMATION - A method of retrieving information regarding an information resource, has the steps of: providing an information resource with a plurality of information instances from a first memory unit; providing a knowledge model with a plurality of type categories and a relationship between at least two type categories from a second memory unit; providing a multi-dimensional context model with a plurality of context categories and a number of dimensions corresponding to a number of the context categories from a third memory unit; annotating an information instance by one of the type categories; mapping at least one type category and/or annotating at least one information instance by one of the context categories; and; assigning a context variable to one of the context categories, the context variable determining a value of a context distance between the context category and the information instance mapped to the context category. | 11-22-2012 |
20120330974 | METHOD OF COMPOSING AN ONTOLOGY ALIGNMENT - A modular method of composing an ontology alignment provides a set of correspondences between at least two ontologies thereby allowing a composition of an optimal alignment by balancing a recall value and a precision of the alignment. A two-fold strategy is followed. By means of mapping functions a set of alignment correspondences is determined. Depending on a particular mapping function a recall value of the alignment can be improved by an extension of the set of correspondences. By filtering functions particularities of the domain are reflected and incorrect mappings are avoided. Depending on a particular filtering function a precision value of the alignment can be improved by restricting the set of correspondences. | 12-27-2012 |
20120331014 | METHOD OF ADMINISTERING A KNOWLEDGE REPOSITORY - The method of administering a knowledge repository described herein establishes combining data input with concurrent data analytics in order to improve the quality and relevance of data entries. | 12-27-2012 |
20130011027 | SYSTEM AND METHOD FOR COMPOSING A MEDICAL IMAGE ANALYSIS - A method composing a medical image analysis, includes the steps of: retrieving anatomical findings captured in a medical report by an information extraction module; providing at least one anatomical knowledge model including a plurality of concepts and a plurality of relationship between the plurality of concepts; mapping at least one anatomical finding of the medical re-port by at least one of the plurality of concepts by a mapping component, thereby locating the anatomical findings in the context of the anatomical knowledge model; and; representing the anatomical findings in the context of the anatomical knowledge model within an anatomical model by a visualization component. | 01-10-2013 |
20130310653 | METHOD AND SYSTEM FOR SUPPORTING A CLINICAL DIAGNOSIS - Methods and systems may support conclusions of a clinician by enabling the clinician to arbitrarily define the symptoms according to the patient's record. The method may comprise: (a) determining a plurality of symptoms representing a patient and including characteristics of the patient, the symptoms being categorized as present symptoms, absent symptoms or open symptoms; (b) establishing a multi-tier relationship between said symptoms and a plurality of diseases based on a knowledge model; (c) adjusting weighting factor(s) for at least one multi-tier relationship based on said knowledge model; (d) optionally adjusting at least one weighting factor of step (c) by an expert; and (e) building a ranking of diseases from said multi-tier relationship based on said weighting factors. The method may provide an efficient ranking of disease information, thereby supporting a clinical diagnosis that may consider multiple symptoms while emphasizing particular symptoms in view of the clinician's expertise. | 11-21-2013 |
20140081623 | METHOD FOR PROCESSING MEDICAL REPORTS - A method for processing medical reports is disclosed. An initial segmentation textual contents of a medical report into information units is performed using natural language processing methods, thereby addressing the challenge of identifying information units, such as text fragments, sentences or text passages, covered within medical reports that are of relevance for a particular context. The information units are then classified into at least one context class to determine their appropriate context classes for a particular situation or application. The context classifications are created using a grammar, e.g., a context-free grammar, and can then be used for automatically assigning each information unit to an appropriate context meta-information. The medical report is then annotated by assigning at least one of said information units to at least one context meta-information determined by said context class. The context meta-information may be then used by other applications. | 03-20-2014 |
20140288964 | Method And System For Supporting An Acquisition Of Clinical Data - A method for supporting an acquisition of clinical data may include the steps of: receiving, by an input component, an identifier characterizing a health state of a patient; accessing a diagnose process model associated to said identifier, the diagnose process model specifying a sequence of clinical treatments whereby each of said clinical treatments includes at least one information model; sequentially activating information models from at least one of said clinical treatments by said process model; requesting, by each of said activated information models, at least one data unit; extracting an information unit by applying an information extraction method to said data unit and interpreting the information unit by reasoning and mapping the information unit to at least one knowledge model; and sequentially instantiating at least one information model by a plurality of said information units. | 09-25-2014 |
20150081648 | Method of Composing an Integrated Ontology - A method of composing an integrated ontology is provided. The method makes use of feature models for the process of modular development of ontologies. The feature models are adapted to assist the user in the process of selection of appropriate and combinable ontologies from an ontology repository for a given use case scenario. The usage of a feature model provides a view of all possible combinations, i.e. all combinations that do not result in an inconsistent ontology. The feature model is specifying dependencies between different ontologies thereby expediting the selection of appropriate ontologies. The usage of reasoning techniques provides for an in-situ consideration of restrictions for the selection of ontologies. | 03-19-2015 |