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Showing posts from April 24, 2023

DO WE NEED INDIAN KNOWLEDGE SYSTEM IN OUR MODERN EDUCATION SYSTEM?

  One question that comes to our mind is, “Why should we know about Indian Knowledge System (IKS)?” To answer this firstly we should know that IKS is not about merely knowing about some ancestral knowledge. If we closely follow the rising patenting regime and the financial electricity arising out of an expertise society, it will become clear that the problem merits severe attention. It is set defensive received understanding, monetary safety, and national satisfaction. India has a very primitive and diversified civilizational history and practices that we know so far to humankind. While the present-day western students date the civilization to at the least 5000–8000 years, the indigenous resources and notion systems in India date the civilization to a historical length, nearly time immemorial. There is an affect in modern-day society that everyone expertise that we benefit from has originated from the West.Since the western civilization is of relatively recent origin compared to Indi

Machine Learning Model Beneficial in Predicting Overall Survival in Cases with Myelofibrosis

  According to a donation at the 64th ASH Annual Meeting, experimenters indicated that the use of a simple machine literacy model (ML) known as the Artificial Intelligence Prognostic Scoring System for Myelofibrosis (AIPSS- MF) model was associated with an elevated rate of delicacy with regard to prognosticating overall survival (zilches) in cases with primary and secondary myelofibrosis (MF), outpacing other well- established threat scoring systems similar as the IPSS and MYSEC- PM. In this study, experimenters collected registry data from cases with MF between the time period of January 2000 and October 2021 in 59 Spanish institutions. The study involved a aggregate of 1386 cases who were arbitrarily resolve into a training set which comprised 80 of the cohort and a test set that included 20 of the study cohort. To model overall survival (zilches) in the training cohort and to confirm the results in those individualities in the test set cohort, experimenters employed a machine