Srinidhi Boray

Bioingine :- Multivariate Cognitive Computing Platform – Distributed Concurrent Computing by Dockerized Microservices

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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

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  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’ […]

Probabilistic Modeling, Predictive Analytics & Intelligent Design from Multiple Medical Knowledge Sources

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Bioingine.com; Probabilistic Modeling and Predictive Analytics Platform for A.I driven Deep Learning to discover Pathways from Clinical Data to Suggested Ontology for Pharmacogenomics; achieving Personalization and Driving Precision Medicine. Data Integration in the Life Sciences: 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings The Feature Diagram from the book above:- Pharmacogenomic knowledge […]

Clinical Decisions and Empirical Dilemma :- Priori Knowledge independent of Experience vs Posterior Knowledge dependent on Experience

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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 […]

Kahneman, the recipient Nobel prize (with Tversky and others) provided important insights concerning Clinicians decision-making under uncertainty

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Probabilistic reasoning and clinical decision-making: do doctors overestimate diagnostic probabilities? “Clinicians make decisions in the face of uncertainty. Kahneman, the recipient of this year’s Nobel prize, (with Tversky and others) provided important insights concerning judgment and decision-making under uncertainty.1,,2 In order to deal with uncertainty, doctors often over-emphasize the importance of diagnostic tests, at the expense […]

Semantic Data Lake Delivering Tacit Knowledge – Evidence based Clinical Decision Support

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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

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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

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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 […]

Data Science On Non-Locality, Hidden Problems and Lack of Information

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Discourse with Dr. Barry Robson, about some thing quite bizarre in solving an unknown problem against uncertainty. Srinidhi Boray (SB) – Hey Barry Question !!! “Graphing should pave way for creating the tacit knowledge by context for a chosen hypothesis; and infinite varieties of the hypothesis is technically possible in an ecosystem” Dr. Barry Robson (BR) – Your question […]

ICD – 10; Medical Knowledge Extraction with Increasing Variables Means Dealing with Billions of Probabilities.

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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

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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

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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 […]