Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Applying quantitative and qualitative methodologies to data analysis with the goal of gaining insightful knowledge is known as data analytics. With the use of data analytics, we can investigate data (exploratory data analysis) and even make inferences about our data (confirmatory data analysis). Go to the external API and retrieve the dataset. Check whether null values are found in the extracted dataset. The pre-processing of the data is carried out using the IBM Cog-nos Analytics tool, and a cleaned data module is produced. The module for cleansed data is used to do data exploration. These exploratory ideas are used to create a dashboard, report, and tale. Finally, the webpage includes links to the dashboard, report, and article. The prediction option can be used to forecast the length of the patient's stay. Machine learning algorithms are employed in the prediction process.
Keywords:
Keywords – Random forest, Predicting the length of stay, Data analytics, Dashboard.
Cite Article:
"ANALYTICS FOR HOSPITALS HEALTH-CARE DATA", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 5, page no.627 - 632, May-2023, Available :http://www.ijrti.org/papers/IJRTI2305098.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator