Identifying claim complexity by integrating supervised and unsupervised learning

A system and a method are disclosed for a tool receiving, from a client device, an indication of a claim. The tool inputs data of the claim into a supervised machine learning model and receiving as output from the supervised machine learning model a complexity of the claim. The tool inputs the data...

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Bibliographic Details
Main Authors LI, Ji, CHEN, Xi, LAKSHMIKANTHAN, Jayant, AKKARACHITTOR, Pramod Jathavedan
Format Patent
LanguageEnglish
Published 02.02.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:A system and a method are disclosed for a tool receiving, from a client device, an indication of a claim. The tool inputs data of the claim into a supervised machine learning model and receiving as output from the supervised machine learning model a complexity of the claim. The tool inputs the data of the claim into an unsupervised machine learning model and receiving as output from the unsupervised machine learning model an identification of a cluster of candidate claims to which the claim belongs. The tool combines complexity and the identification of the cluster into a combined result, and identifies a cell in a matrix corresponding to the combined result. The tool provides, for display at the client device, an identification of the cell, the cell to be emphasized to the user within a display of the matrix.
Bibliography:Application Number: AU20210276239