Wip

  • Ideas

    Planned (18)

    • Abstract Intent Machines   intent machine, user intentions, automation, machine learning

    • Anoma Level

    • Anoma Network Architecture   networking machine, peer-to-peer networks, network security, communication protocols

    • Anoma State Architecture   State Machine, Storage, Execution, Resource Machine

    • Comparing Two Hash Functions for Multi-Party Computation and Zero-Knowledge   Hydra, Poseidon, MPC, ZKP

    • Compiling Juvix to Cairo Assembly   Cairo, Starknet, Anoma, Juvix, Compilers, Zero-knowledge Proofs, Functional programming

    • Compiling to ZKVMs   zero-knowledge proofs, zkVM, virtual machines, privacy-preserving computation

    • Cross-Chain Integrity with Controller Labels and Endorsement   controllers, distributed systems, network management, system architecture

    • Heterogeneous Narwhal and Paxos   heterogeneous protocols, typhon, interoperability, protocol integration, consensus, cross-chain, heterogeneous trust

    • Heterogeneous Paxos 2.0: the Specs   Heterogeneous Paxos, distributed algorithm, consensus, Learner Graph

    • Intent Machines   intent machine, user intentions, automation, machine learning

    • Intent-centric Applications for the Anoma Resource Machine   Anoma Resource Machine, Resource Model, Anoma Applications

    • Message Logic   Distributed Systems, Dynamic Modal Logic, Service Commitments

    • Multichat

    • Nock for Functional Programmers   Nock, combinators, big-step operational semantics

    • Ordering Machine   ordering machine, transaction ordering, consensus algorithms, distributed ledgers

    • Public Signal

    • State Architecture

    Updated: 2024-12-21 02:24:58 |

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Description: This project will create simple metrics from the company's data to identify potential fraud indicators. These metrics will include:

High frequency of reimbursement slips by the same customer over short periods. Issuance of medical licenses by the same doctor for patients within the same family or company. Treatments performed by doctors without proper credentials or the right skill set/competence. Track record for foreign doctors, including treatments provided or licenses issued.

New Metrics to be developed include:

Reimbursement Frequency Score: This score tracks how often a customer submits claims in a short period, flagging those with unusually high frequencies. Doctor Issuance Metric: This metric monitors how often the same doctor issues medical licenses to related individuals (the same family or company), looking for suspicious patterns. Unqualified Treatment Indicator: This metric flags treatments performed by doctors without proper certification or degrees. Doctor Nationality Consistency Metric: Detects mismatches between the doctor's nationality and treatments that are typically associated with other national medical practices.