Document Analysis and Classification: A Robotic Process Automation (RPA) and Machine Learning Approach

Baidya, Abhishek

doi:10.1109/icict52872.2021.00013

Cited by 7 publications

(2 citation statements)

References 8 publications

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“…Process Automation: Automation [5] is a foundation of modern manufacturing, and machine learning takes it a step further with intelligent process automation. Machine learning algorithms continuously learn from data, adapting and optimizing manufacturing processes over time.…”

Section: Manufacturingmentioning

confidence: 99%

Machine Learning Applications Across Various Domains: A Comprehensive Review

Yadav

2024

IJLEMR

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This paper offers a comprehensive examination of how machine learning methods have been utilized in diverse fields, illustrating their significance and promise across a range of industries. It investigates the utilization of machine learning algorithms and models to tackle obstacles and offer groundbreaking solutions in sectors including healthcare, finance, manufacturing, natural language processing, computer vision, and beyond.

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Section: Manufacturingmentioning

confidence: 99%

Machine Learning Applications Across Various Domains: A Comprehensive Review

Yadav

2024

IJLEMR

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“…The most use cases of using Robotic Process Automation can be found in the domains where many files must be processed like secretary productivity [4], document processing automations [5,6] and document classification [7].…”

Section: Introductionmentioning

confidence: 99%

Robotic Process Automation Based Data Extraction from Handwritten Medical Forms

Gal-Nadasan,

Stoicu-Tivadar,

Gal-Nadasan

et al. 2023

Telehealth Ecosystems in Practice

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This paper proposes to create an RPA(robotic process automation) based software robot that can digitalize and extract data from handwritten medical forms. The RPA robot uses a taxonomy that is specific for the medical form and associates the extracted data with the taxonomy. This is accomplished using UiPath studio to create the robot, Google Cloud Vision OCR(optical character recognition) to create the DOM (digital object model) file and UiPath machine learning (ML) API to extract the data from the medical form. Due to the fact that the medical form is in a non-standard format a data extraction template had to be applied. After the extraction process the data can be saved into databases or into a spreadsheets.

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