Abstract: A method for estimating and tracking refractive error progression of an individual includes estimating a percentile of Spherical Equivalent Refraction (SPHEQ) as a function of at least the individual's age by comparison to a reference population; estimating an expected SPHEQ trajectory over a future predetermined period of time; comparing the expected SPHEQ trajectory with the reference population; and comparing the expected SPHEQ trajectory with an expected SPHEQ trajectory using an ametropia control treatment, thereby showing a possible treatment benefit over the predetermined period of time.

Abstract: A method for estimating and tracking refractive error progression of an individual includes estimating a percentile of Spherical Equivalent Refraction (SPHEQ) as a function of at least the individual's age by comparison to a reference population; estimating an expected SPHEQ trajectory over a future predetermined period of time; comparing the expected SPHEQ trajectory with the reference population; and comparing the expected SPHEQ trajectory with an expected SPHEQ trajectory using an ametropia control treatment, thereby showing a possible treatment benefit over the predetermined period of time.

Abstract: A method for estimating and tracking refractive error progression of an individual includes estimating a percentile of Spherical Equivalent Refraction (SPHEQ) as a function of at least the individual's age by comparison to a reference population; estimating an expected SPHEQ trajectory over a future predetermined period of time; comparing the expected SPHEQ trajectory with the reference population; and comparing the expected SPHEQ trajectory with an expected SPHEQ trajectory using an ametropia control treatment, thereby showing a possible treatment benefit over the predetermined period of time.

Abstract: A method for estimating and tracking refractive error progression of an individual includes estimating a percentile of Spherical Equivalent Refraction (SPHEQ) as a function of at least the individual's age by comparison to a reference population; estimating an expected SPHEQ trajectory over a future predetermined period of time; comparing the expected SPHEQ trajectory with the reference population; and comparing the expected SPHEQ trajectory with an expected SPHEQ trajectory using an ametropia control treatment, thereby showing a possible treatment benefit over the predetermined period of time.

Abstract: Approximate answers to queries are provided by executing queries against a representation of a data source in addition to, or in lieu of accessing the source data itself. A representation of a data source, referred to herein as an Information Reservoir, is constructed and maintained using probabilistic methodologies based upon a Poisson sampling approach. The Information Reservoir provides approximate answers to ad hoc queries, potentially in a small fraction of the time required to calculate an exact answer. Associated variances are also provided that may additionally be used to calculate confidence intervals bounding the exact answer. An Information Reservoir may be biased toward a subset of the information in the original data source and/or tailored to the anticipated query workload. Queries expressed as if directed to the original data source may be automatically translated to run against the Information Reservoir with little or no additional burden placed on the Information Reservoir user.

Abstract: A cluster isolation system includes a processor that is operatively coupled to an input device, an output device, and memory. The system determines feature/interval combinations that distinguish one cluster of data objects from other clusters. The processor calculates cluster isolation measurement values at selected cut-off values for each feature. The processor reports the features and feature score intervals that satisfy selected isolation measurement value thresholds.

Abstract: Several approaches are provided for designing algorithms that allow for fast retrieval, classification, analysis or other processing of data, with minimal expert knowledge of the data being analyzed, and further, with minimal expert knowledge of the math and science involved in building classifications and performing other statistical data analysis. Further, methods of analyzing data are provided where the information being analyzed is not easily susceptible to quantitative description.