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University of Houston System

Ramin Homayouni

Susan H Hardin

Kevin Erich Heinrich

Bradford Ryan Silver

Paul Eric Hardin

A predictive modeling method implemented on a computer for predicting patient outcomes and conditions from medical database records of a population of patients, and an optimization process of iterative variation of parameters of the method to achieve a best precision fit. Individual patient documents are created by concatenation of unstructured text fields from the patient's medical record, and these are processed using Natural Language Processing. A patient document corpus is built, and terms in the corpus are weighted and mapped to standard vocabularies. A term-by-document matrix is built and its dimensionality is reduced by Latent Semantic Indexing. Patient and term queries are combined and scored, producing a ranked list. The parameters of the model are iteratively optimized for an input list of patients with corresponding health score values.

System and method of prediction through the use of latent semantic indexing

A novel method of primer walking using octamer oligonucleotides to prime DNA sequencing reactions is described. Octamer sequencing is compatible with isotopic and fluorescent sequencing chemistry, reaction conditions are optimized such that the samples can be processed in parallel and the procedures are automated. This strategy is faster than the traditional primer walking sequencing strategy as the existence of a primer library allows immediate access to a primer for the next sequencing reaction, eliminating delays associated with designing and synthesizing gene specific primers. The octamer library is comprised of optimized sequencing primers, such that octamer sequencing yields results equivalent to or better than traditional primer walking.

Growing community of inventors

Houston, TX, United States of America

Ramin Homayouni