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1. 发明申请

US20140172755A1 MULTI-DIMENSIONAL FEATURE MERGING FOR SUPPORTING EVIDENCE IN A QUESTION AND ANSWERING SYSTEM 有权
公开(公告)号：US20140172755A1
公开(公告)日：2014-06-19
申请号：US13716579
申请日：2012-12-17
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Joel C. Dubbels , Thomas J. Eggebraaten , Mark G. Megerian , William C. Rapp , Richard J. Stevens , Patrick M. Wildt , Eric W. Will
IPC分类号： G06N99/00
CPC分类号： G06F17/3053 , G06F17/30654
摘要： Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.

2. 发明授权

US11562827B2 Negative inferences in machine learning treatment selection 有权
公开(公告)号：US11562827B2
公开(公告)日：2023-01-24
申请号：US16280331
申请日：2019-02-20
申请人： International Business Machines Corporation
发明人： Adam Clark , Richard J. Stevens , Fernando Suarez Saiz , Eric W. Will , Mark Gregory Megerian , Thomas J. Eggebraaten
IPC分类号： G16H50/20 , G06N20/00 , G06F16/901 , G16H10/60 , G16H20/00
摘要： Method and apparatus for performing feature engineering using negative inferences are provided. One example method generally includes identifying a plurality of concepts and analyzing a corpus of documents to determine a first co-occurrence rate for a first concept and a second concept in the plurality of concepts. The method further includes analyzing the corpus of documents to determine a second co-occurrence rate for the second concept and at least a third concept of a set of concepts related to the first concept and determining an inverse relationship between the second concept and the third concept. The method further includes generating test data for training a machine learning model including a negative inference between the second concept and the third concept and training the machine learning model using the test data.

3. 发明申请

US20200243167A1 PREDICTING CLINICAL TRIAL ELIGIBILITY BASED ON COHORT TRENDS 审中-公开
公开(公告)号：US20200243167A1
公开(公告)日：2020-07-30
申请号：US16256049
申请日：2019-01-24
申请人： International Business Machines Corporation
发明人： Eric W. Will , Adam Clark
IPC分类号： G16H10/20 , G16H10/60 , G06N20/00
摘要： Method and apparatus for predicting clinical trial eligibility for patients. Embodiments include determining a current value for each of a plurality of attributes of a first patient. Embodiments include identifying a cohort of patients that are clinically similar to the first patient, based on the plurality of attributes. Embodiments include analyzing data associated with the cohort of patients to determine an attribute trend for at least a first attribute the plurality of attributes. Embodiments include generating a predicted value for the first attribute, based on the current value of the first attribute and the attribute trend for the first attribute. Embodiments include identifying a plurality of clinical trials based on the first attribute. Embodiments include generating a probability that the first patient will be eligible for each of the plurality of clinical trials at a future time, based on the predicted value for the first attribute.

4. 发明授权

US11562257B2 Identifying knowledge gaps utilizing cognitive network meta-analysis 有权
公开(公告)号：US11562257B2
公开(公告)日：2023-01-24
申请号：US16202889
申请日：2018-11-28
申请人： International Business Machines Corporation
发明人： Richard J. Stevens , Fernando Jose Suarez Saiz , Eric W. Will , Adam Clark
IPC分类号： G06N5/02 , G16H50/70 , G16H20/00 , G16B40/00 , G16B50/00
摘要： Techniques for identifying missing evidence are provided. A plurality of documents, each comprising digitally encoded natural language text data, is received. The plurality of documents is processed to determine a plurality of pair-wise comparisons between a plurality of therapies, where each of the plurality of pair-wise comparisons indicate a relative efficacy of at least one therapy in the plurality of therapies, as compared to at least one other therapy in the plurality of therapies. A knowledge graph is generated based at least in part on aggregating the plurality of pair-wise comparisons, and the knowledge graph is analyzed to identify one or more knowledge gaps within the knowledge graph. Finally, at least an indication of the identified one or more knowledge gaps is output.

5. 发明授权

US08639497B2 Natural language processing (‘NLP’) 有权
标题翻译：自然语言处理（'NLP'）
公开(公告)号：US08639497B2
公开(公告)日：2014-01-28
申请号：US13741877
申请日：2013-01-15
申请人： International Business Machines Corporation
发明人： Thomas J. Eggebraaten , Richard J. Stevens , Eric W. Will
IPC分类号： G06F17/28
CPC分类号： G06F17/28 , G06F17/2785
摘要： Natural language processing (‘NLP’) including: receiving text specifying predetermined evidence; receiving a text passage to process, the text passage including conditions and logical operators, the text passage comprising criteria for evidence; decomposing the text passage into coarse grained text fragments, including grouping text segments in dependence upon the logical operators; analyzing each coarse grained text fragment to identify conditions; evaluating each identified condition in accordance with the predetermined evidence and predefined condition evaluation rules; evaluating each coarse grained text fragment in dependence upon the condition evaluations and the logical operators; and calculating, in dependence upon the evaluations of each text fragment, a truth value indicating a degree to which the evidence meets the criteria of the text passage.
摘要翻译：自然语言处理（'NLP'）包括：接收指定预定证据的文本; 接收文本段落，文本段落包括条件和逻辑运算符，文本段落包含证据标准; 将文本段落分解为粗粒度文本片段，包括依赖于逻辑运算符对文本段进行分组; 分析每个粗粒度文本片段以识别条件; 根据预定证据和预定义条件评估规则评估每个确定的条件; 根据条件评估和逻辑运算符来评估每个粗粒度文本片段; 并且根据每个文本片段的评估来计算表示证据符合文本段落标准的程度的真值。

6. 发明授权

US09753986B2 Multi-dimensional feature merging for supporting evidence in a question and answering system 有权
公开(公告)号：US09753986B2
公开(公告)日：2017-09-05
申请号：US13716579
申请日：2012-12-17
申请人： International Business Machines Corporation
发明人： Joel C. Dubbels , Thomas J. Eggebraaten , Mark G. Megerian , William C. Rapp , Richard J. Stevens , Patrick M. Wildt , Eric W. Will
IPC分类号： G06F15/18 , G06F17/30
CPC分类号： G06F17/3053 , G06F17/30654
摘要： Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.

7. 发明授权

US11424011B2 Analyzing knowledge graphs with unbounded insight generation 有权
公开(公告)号：US11424011B2
公开(公告)日：2022-08-23
申请号：US16215280
申请日：2018-12-10
申请人： International Business Machines Corporation
发明人： Richard J. Stevens , Fernando Jose Suarez Saiz , Eric W. Will , Adam Clark
IPC分类号： G16H50/70 , G16H10/60 , G16H20/00 , G06F16/28 , G06F16/2457 , G16H10/20 , G06F16/901
摘要： Techniques for unbounded therapy evaluation are provided. A request to suggest a potential therapy based on a patient profile is received. A plurality of accepted therapies is determined based on the patient profile, where the plurality of accepted therapies is based on stored definitions obtained from one or more subject matter experts. Next, a plurality of therapy components is identified based on the plurality of accepted therapies. A plurality of potential therapies is then identified based on the plurality of therapy components, where none of the plurality of potential therapies are included in the plurality of accepted therapies. A score is generated for a potential therapy of the plurality of potential therapies based on analyzing a knowledge graph, where the score indicates a suitability of the potential therapy for a patient associated with the patient profile. Finally, the potential therapy is provided, along with an indication of the score.

8. 发明授权

US11176326B2 Cognitive analysis of criteria when ingesting data to build a knowledge graph 有权
公开(公告)号：US11176326B2
公开(公告)日：2021-11-16
申请号：US16238675
申请日：2019-01-03
申请人： International Business Machines Corporation
发明人： Richard J Stevens , Fernando Jose Suarez Saiz , Eric W. Will , Adam Clark
IPC分类号： G06F40/30 , G06N5/04 , G06Q10/04 , G06Q10/06
摘要： Techniques for cognitive analysis of documents are provided. A document corresponding to a clinical trial is received. Criteria are identified for the clinical trial based on processing the electronic document using natural language processing (NLP) techniques, where the criteria specify attributes of individuals that are eligible for the trial. Further, the criteria are analyzed using NLP techniques to determine a respective confidence level for each respective criterion, where the confidence level indicates a degree of certainty that the criterion is applicable to the trial. A knowledge graph is generated based at least in part on the clinical trial, where the confidence level assigned to each criterion is included in the knowledge graph for subsequent use. Finally, one or more therapies in the knowledge graph are selected to be recommended, based on a patient profile and the confidence level assigned to each of the criteria.

9. 发明授权

US09773044B2 Multi-dimensional feature merging for supporting evidence in a question and answering system 有权
公开(公告)号：US09773044B2
公开(公告)日：2017-09-26
申请号：US13793287
申请日：2013-03-11
申请人： International Business Machines Corporation
发明人： Joel C. Dubbels , Thomas J. Eggebraaten , Mark G. Megerian , William C. Rapp , Richard J. Stevens , Patrick M. Wildt , Eric W. Will
IPC分类号： G06F15/18 , G06F17/30
CPC分类号： G06F17/3053 , G06F17/30654
摘要： Method, system, and computer program product to analyze a plurality of candidate answers identified as responsive to a question presented to a deep question answering system, by computing a first feature score for a first feature of an item of evidence, of a plurality of items of evidence, the first feature score being based on at least one attribute of the first feature, the item of evidence relating to a first candidate answer, of the plurality of candidate answers, and computing a merged feature score for the first candidate answer by applying the first feature score to a second feature score for a second feature of the item of evidence.

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