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Major challenges to the society are the people have aging populace and occurrence of continual diseases and eruption of transferable diseases. to embark upon these unmet healthcare desires for the quick guess and therapeutic of all the important diseases a new area called health informatics is emerging as an interdisciplinary research which is dealing with the getting hold of, spread, dispensation, to store as well retrieve. Particularly when the industry is acquired the health information by using the unassuming sense and wearable technology is well thought-out as groundwork stone in healthiness industry. According to a reports, sensors can be worn and hooked on clothes which can acquire the health information uninterrupted.

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Software quality assurance and related methodologies are quite prominent before actual launching the application so that any type of issues can be resolved at prior notifications. The process of software evaluation is one of the key tasks that are addressed by the quality assurance teams so that the risks in the software suite can be identified and can be removed with prior notifications. Different types of metrics can be used in defect prediction model and widely used metrics are source code and process metrics. The focus of this research manuscript is to develop a narrative architecture and design for software risk management using soft computing in integration with the proposed approach of random forest approach is expected to have the effectual results on multiple parameters with the flavor of multiple decision trees. The proposed approach is integrated with the framework of meta-heuristics with random forest in different substances and elements to produce a new substance.