Anomaly analysis using maximum likelihood continuity mapping
First Claim
1. A computer-implemented method for detecting anomalous medical procedures comprising the steps of:
- finding a mapping between model medical procedures forming model medical treatment sequences and probability density functions (PDFs) over continuity map (CM) positions in a health space, wherein each PDF quantifies the probability of positions in the CM given the associated model medical procedure;
inputting a new sequence of medical procedures to be reviewed;
finding a path through said continuity map that maximizes the conditional probability of said new sequence of medical procedures; and
identifying anomalous medical procedures as any sequence of medical procedures with a conditional probability of the sequence of medical procedures given the path below a threshold value.
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Accused Products
Abstract
A method of modeling symbol sequence generation is obtained which allows the probability of symbol sequences to be estimated. The model involves treating symbols as if they are emitted as a point travels through an abstract space called a continuity map (CM), in which each position in the space has associated probabilities of emitting each of the possible symbols. This method for modeling symbol generation, combined with methods for estimating the probability of symbol sequences given smooth paths through the CM, can be applied to such problems as language modeling and anomaly/fraud detection. A fraud detection study is described that demonstrates that the invention can be used for detecting medical fraud.
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Citations
6 Claims
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1. A computer-implemented method for detecting anomalous medical procedures comprising the steps of:
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finding a mapping between model medical procedures forming model medical treatment sequences and probability density functions (PDFs) over continuity map (CM) positions in a health space, wherein each PDF quantifies the probability of positions in the CM given the associated model medical procedure; inputting a new sequence of medical procedures to be reviewed; finding a path through said continuity map that maximizes the conditional probability of said new sequence of medical procedures; and identifying anomalous medical procedures as any sequence of medical procedures with a conditional probability of the sequence of medical procedures given the path below a threshold value. - View Dependent Claims (2, 3)
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4. A computer-implemented method for identifying anomalous transactions comprising the steps of:
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finding a mapping between model events forming model transactions and probability density functions (PDFs) over continuity map (CM) positions, wherein each PDF quantifies the probability of positions on the CM given the associated model event; inputting a new event sequence forming a new transaction to be reviewed; finding a path through said continuity map that maximizes the conditional probability of said new event sequence; and identifying anomalous transactions as any sequence of events with a conditional probability of the sequence of events below a threshold. - View Dependent Claims (5, 6)
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Specification