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 […]

Form Follows Function on SPaMCast 373

This week’s episode of Tom Cagley’s Software Process and Measurement (SPaMCast) podcast, number 373, features Tom’s essay on #NotImplementedNoValue and a Form Follows Function installment on simplistic mental models. Tom and I discuss my post “All models may be wrong, but it’s not a contest to see how wrong you can be”, talking about cognitive […]

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

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

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 […]

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 […]