2022
DOI: 10.21203/rs.3.rs-2381448/v1
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Toward Driverless AI: Automating Leukemia Detection and Classification using Hyperautomation, a Case Study

Abstract: This paper mainly explores how driverless AI can help researchers accurately classify leukemia diagnosis. Since Leukemia is among the most common commonly occurring types of cancer and thus early detection and classification can be of paramount significance. In this paper, we proposed a reliable method to automate the classification of leukemia in which we used the automated machine learning (henceforth, AutoML) library available in H2O.ai to select the best classification model capable of detection and classi… Show more

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“…One of the most promising potentials of hyperautomation technologies in healthcare is in the field of medical diagnosis. By leveraging the power of machine learning algorithms, therapists can more accurately diagnose and treat a wide range of conditions, from common to rare diseases [2]. This can lead to better outcomes for patients, reduced hospital stays, fewer complications, and improved general health and well-being.…”
Section: Dear Editormentioning
confidence: 99%
“…One of the most promising potentials of hyperautomation technologies in healthcare is in the field of medical diagnosis. By leveraging the power of machine learning algorithms, therapists can more accurately diagnose and treat a wide range of conditions, from common to rare diseases [2]. This can lead to better outcomes for patients, reduced hospital stays, fewer complications, and improved general health and well-being.…”
Section: Dear Editormentioning
confidence: 99%