Learner, Practitioner & Teacher
Need: The test statistics such as χ2 and Fisher’s Exact Test only test whether there is a relationship between categorical variables or not but fail to provide the strength of the relationship. Approach: To find the strength of relationship (such
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Need: if you want to study the relationship (association) between two variables which are associated with another variable, then both RR (Relative Risk) and OR (odds ration) doesn’t work as they are able to explain the association between two variables.
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Need Researchers are often interested in evaluating the association between an exposure and an outcome. In other words, they are interested in knowing whether the presence of a risk factor or performing an intervention alters the risk of an outcome
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Even after lot off Low code and No Code platforms emerge in the form of Auto ML. (As machine learning has moved from theory to applications). Still Machine Learning has some hard lesion to follow which are Here’s what we
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As technology is changing very rapidly, we are seeing there are lot of new trends are emerging in the filed of data science /AI/ML whatever you say.
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Objective As data science is being creating value from data like DevOps and MLOps even Dataops also very important and everyone need to understand the principals of it. Whatever application or product you build it should have the below mentioned
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Objective Interpretable machine learning refers to giving explanations of machine learning/deep learning models to humans with domain knowledge. The explanation to the humans should be comprehensible in (i) natural language (ii) easy to understand representations and the explanation to the
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Objective Interoperability is one of the key prerequisites for any Electronic healthcare record products. According to the Healthcare Information and Management Systems Society (HIMMS) interoperability in healthcare is defined as “the ability of different information systems, devices and applications (‘systems’)
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NEED In this industry 4.0 as the quantity and quality of clinical data are rapidly expanding, with the electronic health records (EHRs), and also lot of development happened in technical front in terms of both data handling /processing (Big data)
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Objective (Smart Hospitals) Smart Hospitals are defined as those institutions that seek to automate and optimize processes using new technologies such as Big Data, IoT, Analytics and Machine Learning, with the aim not only of providing better medical care to
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