Clinical Data Analytics – Loss of Innocence (Predictive Analytics) in a Large High Dimensional Semantic Data Lake

From Dr. Barry Robson’s notes:- Is Data Analysis Particularly Difficult in Biomedicine? Looking for a single strand of evidence in billions of possible semantic multiple combinations by Machine Learning Of all disciplines, it almost seems that it is clinical genomics, proteomics, and their kin, which are particularly hard on the data-analytic part of science. Is […]

Evidence based Medicine driven by Inferential Statistics – Hyperbolic Dirac Net

http://sociology.about.com/od/Statistics/a/Introduction-To-Statistics.htm From above link Descriptive Statistics (A quantitative summary) Descriptive statistics includes statistical procedures that we use to describe the population we are studying. The data could be collected from either a sample or a population, but the results help us organize and describe data. Descriptive statistics can only be used to describe the group that […]

Healthcare Interoperability, Standards and Data Science

Srinidhi Boray | Ingine, Inc | Bioingine.com Introducing, Ingine, Inc. it is a startup in its incipient stages of developing BioIngine platform, which brings advancement in data science around Interoperability. Particularly with healthcare data mining and analytics dealing with medical knowledge extraction. Below are some of the lessons learned discussed while dealing with the healthcare […]

Cartesian Dilemma Afflicts the EHR Incentive Program compromising the mission of Healthcare Interoperability

Affordability Care Act and HITECH Act lead into EHR Incentive Program. Based on the EHR Incentive Program CMS has already payed out 24+ Billion to Eligible Participants. To advance EHR adoption in the Healthcare Ecosystem CMS proposed formation of Accountable Care Organization https://www.cms.gov/Newsroom/MediaReleaseDatabase/Fact-sheets/2011-Fact-sheets-items/2011-12-19.html From the above link “”The Pioneer ACO Model is designed for health care organizations and providers that […]

The QEXL Approach (Healthcare Biggest Data) – Universal Healthcare Interoperability based on Probabilistic Ontology

Conquering Uncertainties Creating Infinite Possibilities (Possible application :- Achieving Algorithmic Driven ACO) Acknowledgements :- Dr. Barry Robson notes and conversation; including Effort of Quantal Semantics Inc. Introduction The QEXL Approach is a Systems Thinking driven technique that has been designed with the intension of developing “Go To Market” solutions for Healthcare Big Data applications requiring integration […]