***************** WELCOME TO PATRICK CONSULT INC.*****************
******************* The Future of Mediacal Diagnosis********************
Medical consulting and diagnosis is based on a model whereby the total system consists of subsystems, categories, features and feature-values. Each category (i.e. a disease) is characterized by a category-feature-relationship characterized in turn by significant features which include history, physical exam and lab data as well as images and text.
Each subsystem consists of a subset of the categories along with their features (with feature-values).
When findings are presented for a selected subsystem, each category has a calculated, category-likelihood value allowing for the presentation of a differential diagnosis consisting of ranked categories.
There are three levels within the system:
Level I provides for the user to select a subsystem and then view the categories, features and category-feature-relationships (including images and text) for the categories in that subsystem.
Level II provides for the user to select a subsystem and view groups of categories where each group satisfies previously computed logical relationships among the features.
Level III allows the user to input findings for a particular case and selected subsystem to obtain a differential diagnosis.
Relevant contributions to the scientific literature provided by Patrick Consult Inc. and the Patrick Institute include:
Fundamentals of Pattern Recognition
Artificial Intelligence with Statistical Pattern Recognition
Generalized Nearest Neighbor Rule
Statistical Pattern Recognition
Patrick Heimlich Method (in drowning treatment analysis)
Choking Treatment and Analysis
Nonparametric Feature Selection