| CPC G06V 30/412 (2022.01) [G06F 18/214 (2023.01); G06F 18/2433 (2023.01); G06N 20/00 (2019.01)] | 20 Claims |
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1. A system, comprising:
a hardware processor; and
a non-transitory machine-readable storage medium encoded with instructions executable by the hardware processor to perform operations comprising:
receiving an electronic record, the electronic record representing a medical bill, the medical bill comprising a plurality of attributes;
mapping each attribute in the medical bill to a single bucket of a plurality of buckets according to a predetermined correspondence between the attributes and the buckets;
generating an identifier for each of the single buckets to which attributes in the medical bill were mapped, wherein each identifier comprises a vector of binary number and wherein each position in the vector represents one or the buckets; and
providing the identifiers of each of the single buckets to which attributes in the medical bill were mapped as input to a machine learning model, the machine learning model being trained according to historical correspondences between the buckets and decisions of whether human review was necessary, wherein responsive to the input, the machine learning model provides as output an indication of whether the medical bill should be reviewed by a human.
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