Bioingine
Bioingine :- Multivariate Cognitive Computing Platform – Distributed Concurrent Computing by Dockerized Microservices
Employ of Dockerized Apps Opens a Vistas of Possibilities with Hadoop Architecture. Where, the Hadoop’s traditional data management architecture is extended beyond data processing and management into Distributed Concurrent Computing. Data Management (Storage, Security, MapReduce based Pre-processing) and Data Science (Algorithms) Decoupled. Microservices driven Concurrent Computing :- Complex Distributed Architecture made Affordable Conceptual View […]![]()
HDN (Hyperbolic Bayes Net) + Data Mining to Discover Tacit Knowledge and Map Clinical Pathways
Data consists of symbols that represent objects, events, and their properties. Information is data that has been made useful. Information answers the questions of who, what, where, when, and how many. Information is helpful in deciding what to do, not how to do it. Knowledge consists of instructions and know-how. Knowledge answers the ‘how’ […]![]()
Clinical Decisions and Empirical Dilemma :- Priori Knowledge independent of Experience vs Posterior Knowledge dependent on Experience
Leon Festinger, American social psychologist, is credited to have developed the idea around Cognitive Dissonance Bioingine.com employs algorithmic approach based on Hyperbolic Dirac Net that allows inference nets that are a general graph (GC), including cyclic paths, thus surpassing the limitation in the Bayes Net that is traditionally a Directed Acyclic Graph (DAG) by definition. The Bioingine.com approach thus more fundamentally […]![]()
Semantic Data Lake Delivering Tacit Knowledge – Evidence based Clinical Decision Support
Can the complexity be removed and tacit knowledge delivered from the plethora of the medical information available in the world. ” Let Doctors be Doctors” Semantic Data Lake becomes the Book of Knowledge ascertained by correlation and causation resulting into Weighted Evidence Characteristics of Bioingine.com Cognitive Computing Platform Architecture style moves from Event driven into […]![]()
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 […]![]()
ICD – 10; Medical Knowledge Extraction with Increasing Variables Means Dealing with Billions of Probabilities.
Note: Bioingine Cognitive Computing Platform employs Hyperbolic Dirac Net, an advanced Bayesian that overcomes acyclic constraint; thereby the resultant statistics method delivers coherent results when dealing with a messy system where both hypothesis and data have become random messing the entropy. By. Dr. Barry Robson Bioingine.com (Ingine, Inc.) The hunger and thirst for more fine […]![]()
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 […]![]()