Florida Hospital Internal Medicine Residency 2501 N Orange Ave STE 235, Orlando, FL 32804 4073037331 (phone), 4073037169 (fax)
Languages:
English
Description:
Dr. Lin works in Orlando, FL and specializes in Internal Medicine.
Name / Title
Company / Classification
Phones & Addresses
Yan Lin Principal
Amerilink International Corp Travel Agency
1727 Us Hwy 130, New Brunswick, NJ 08902
Yan Lin Principal
Matsuya Japanese Cuisine Eating Place
447 Larchmont Blvd, Mount Laurel, NJ 08054 8567788818
Yan Lin Mbr
American Green Land Limited Liability Company Holding Company
11 School Dr, Windsor, NJ 08561
Yan Lin
YAN LIN INC
Yan Chun Lin
OSAKA LLC
Yan Ying Lin
SHUNG XING, INC
Yan Lin
ZYMENN INC
Us Patents
System And Method For Deriving Material Change Attributes From Curated And Analyzed Data Signals Over Time To Predict Future Changes In Conventional Predictors
- Short Hills NJ, US Nipa BASU - Bridgewater NJ, US Anthony J. SCRIFFIGNANO - West Caldwell NJ, US Warwick R. MATTHEWS - Madison NJ, US Yiem SUNBHANICH - Lewis Center OH, US John M. NICODEMO - Bethlehem PA, US Bradley WHITE - Easton PA, US Alla KRAMSKAIA - Edison NJ, US Brian S. CRIGLER - Westfield NJ, US Xin YUAN - Basking Ridge NJ, US Robin DAVIES - Macungie PA, US Kathleen WACHHOLZ - Nazareth PA, US Sumanta MUKHERJEE - Edison NJ, US Yan LIN - New Providence NJ, US Paul CHIN - Whippany NJ, US Don FOLK - Quakertown PA, US
International Classification:
G06Q 10/06
US Classification:
705 737
Abstract:
A system and method for deriving a material change attribute over time to predict a future change in at least one predictor, the method comprising: collecting precursor data from at least one data source; processing the precursor data by assessing at least one characteristic of the precursor data; generating at least one material change signal from the processed precursor data; evaluating the material change signal to determine the signal's value in predicting future changes in the predictor and, optionally, reverting to the collection and processing steps above to process additional precursor data; and generating at least one the material change attribute from the evaluated material change signal.