ENHANCING PERFORMANCE OF DIAGNOSTIC MACHINE LEARNING MODELS THROUGH SELECTIVE DEFERRAL TO USERS
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying data points using a deferral model that determines whether to classify the data point using an output of one or more diagnostic machine learning models or to defer the data point for class...
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| creator | WINKENS, Jim CEMGIL, Ali Taylan KARTHIKESALINGAM, Alan Prasana GHAISAS, Sumedh Kedar DVIJOTHAM, Krishnamurthy |
| description | Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying data points using a deferral model that determines whether to classify the data point using an output of one or more diagnostic machine learning models or to defer the data point for classification by one or more users.
L'invention concerne des procédés, des systèmes et un appareil, y compris des programmes informatiques codés sur des supports de stockage informatiques, pour classifier des points de données à l'aide d'un modèle de report qui détermine s'il faut classer le point de données à l'aide d'une sortie d'un ou de plusieurs modèles d'apprentissage automatique de diagnostic ou s'il faut différer le point de données pour une classification par un ou plusieurs utilisateurs. |
| format | Patent |
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L'invention concerne des procédés, des systèmes et un appareil, y compris des programmes informatiques codés sur des supports de stockage informatiques, pour classifier des points de données à l'aide d'un modèle de report qui détermine s'il faut classer le point de données à l'aide d'une sortie d'un ou de plusieurs modèles d'apprentissage automatique de diagnostic ou s'il faut différer le point de données pour une classification par un ou plusieurs utilisateurs.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEKwjAURuEuDqK-wwVnwbaCc0j_NIE0V25SHUuROIkW6vujgg_gdDjwLYsBwaqgXWjpBDEs3edAbKhxqg0ck9PUKW1dAHkoCV_acQMfKVnhvrUU4aGTO4MaGIgoT4mpj5C4Lha38T7nza-rYmuQtN3l6TnkeRqv-ZFfw4WrfVWXh2N5qFRZ_6feFbo0CQ</recordid><startdate>20230803</startdate><enddate>20230803</enddate><creator>WINKENS, Jim</creator><creator>CEMGIL, Ali Taylan</creator><creator>KARTHIKESALINGAM, Alan Prasana</creator><creator>GHAISAS, Sumedh Kedar</creator><creator>DVIJOTHAM, Krishnamurthy</creator><scope>EVB</scope></search><sort><creationdate>20230803</creationdate><title>ENHANCING PERFORMANCE OF DIAGNOSTIC MACHINE LEARNING MODELS THROUGH SELECTIVE DEFERRAL TO USERS</title><author>WINKENS, Jim ; CEMGIL, Ali Taylan ; KARTHIKESALINGAM, Alan Prasana ; GHAISAS, Sumedh Kedar ; DVIJOTHAM, Krishnamurthy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_WO2023147142A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>WINKENS, Jim</creatorcontrib><creatorcontrib>CEMGIL, Ali Taylan</creatorcontrib><creatorcontrib>KARTHIKESALINGAM, Alan Prasana</creatorcontrib><creatorcontrib>GHAISAS, Sumedh Kedar</creatorcontrib><creatorcontrib>DVIJOTHAM, Krishnamurthy</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WINKENS, Jim</au><au>CEMGIL, Ali Taylan</au><au>KARTHIKESALINGAM, Alan Prasana</au><au>GHAISAS, Sumedh Kedar</au><au>DVIJOTHAM, Krishnamurthy</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ENHANCING PERFORMANCE OF DIAGNOSTIC MACHINE LEARNING MODELS THROUGH SELECTIVE DEFERRAL TO USERS</title><date>2023-08-03</date><risdate>2023</risdate><abstract>Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying data points using a deferral model that determines whether to classify the data point using an output of one or more diagnostic machine learning models or to defer the data point for classification by one or more users.
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
| title | ENHANCING PERFORMANCE OF DIAGNOSTIC MACHINE LEARNING MODELS THROUGH SELECTIVE DEFERRAL TO USERS |
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