Data Science: Similarity Least Squares (SLSTM) + physics + Statistical Design of Experiment (DOE)

            A New Paradigm for Analysis and Management of Complexity

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The SLSTM model fit comprehensive child-growth data better and more efficiently than any method,
typically spline-regression.  
Hence, SLSTM enabled integration of race-specific growth patterns with the WHO pediatrics DB that covered all ages but was non-specific for race.
Subsequently, a year or so later, the WHO also upgraded their DB to include the impact of race.
REF:L Comanor, J M Minor, et al, 2001, Impact of chronic hepatitis B and interferon-a therapy on growth of children, J. Viral Hepatitis 8, 139-147   

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Copyright of James M Minor, July 4, 2004.
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Last updated: June 20, 2013.