December 2025
Intermediate to advanced
656 pages
16h 47m
English
Content preview from Edge Artificial Intelligence
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18Design and Enhance of Data Analysis in Healthcare System with AutoML Business Intelligence Technology
Rajendra Kachhava*, R.K. Somani and Ravi Khatwal
Computer Science, Sangam University, Bhilwara, India
Abstract
All organizations have additional data than before, and data scientists apply advanced analytic techniques and machine learning ML models on those data to obtain value and make strategic and operational decisions. However, the collected raw data usually come with various issues like incorrect values and duplicate records. Data preparation refers to the process of transforming such raw data to be useful and in clean format so that the downstream applications can be consumed reliably. The objective in this work is to enhance the performance dashboards and investigate the use of data analysis techniques to automate data preparation pipeline operations through the use of entity matching, data enhancement, and error detection. The current demand for analytics experts vastly exceeds the supply; the solution to this problem is to increase the user friendliness of ML framework design to make them more accessible and effective. Automated machine learning (AutoML) mechanism is a better design to solve the problem of expertise by providing fully automated off the shelf solutions for model choice and hyper parameter tuning. It clearly shows that the decisions made in medical facilities are highly data-driven. The results of the study confirm what has been analyzed in the literature ...
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