Mohan Satvik Adusumalli
Disha Delphi Public School, Kota
Download PDFhttp://doi.org/10.37648/ijrst.v14i02.005
Applying data science to public mental health concerns and devising remedies based on research findings can be challenging and call for sophisticated methods. In contrast to traditional data analysis initiatives. It's critical to possess an extensive project management procedure to guarantee that Project associates are capable and knowledgeable enough to Implement the data science process. As a result, this essay offers a fresh paradigm that mental health practitioners might apply to address issues people encounter when applying data science. Even so, a sizable portion of Many studies on the mental health of the public have been published, not many have talked about data science's application to public mental health. Data science has recently transformed how the healthcare business manages, analyses, and uses data. Because of the scientific methodology employed in data science initiatives, they differ from traditional data analysis. Motivating medical practitioners to use "Data Science" to mental health issues is one of the goals of launching this new framework. It's usually advantageous to have a strong data analysis framework and precise instructions for a thorough examination. Estimating the time and resources required early on in the process can also be helpful in gaining a clear understanding of the problem that needs to be solved.
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