AI Based Predictive Modelling for Internal Quality Control: A Machine Learning Approach Using Altair RapidMiner.

Machine learning, particularly Random Forest, effectively augments IQC by enabling predictive monitoring. Altair RapidMiner offers a user-friendly platform, making advanced analytics accessible even without programming skills. This approach aligns with Quality 4.0 initiatives, promoting data-driven, real-time decision-making in laboratory quality assurance.

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PubMed
Published
2025-12-01
Primary Topic
Fault Detection and Control Systems
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article
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article

AI Based Predictive Modelling for Internal Quality Control: A Machine Learning Approach Using Altair RapidMiner.

Jayesh Warade
PubMed
Fault Detection and Control Systems
article

AI Based Predictive Modelling for Internal Quality Control: A Machine Learning Approach Using Altair RapidMiner.

Jayesh Warade
article en

Abstract

Machine learning, particularly Random Forest, effectively augments IQC by enabling predictive monitoring. Altair RapidMiner offers a user-friendly platform, making advanced analytics accessible even without programming skills. This approach aligns with Quality 4.0 initiatives, promoting data-driven, real-time decision-making in laboratory quality assurance.

PubMedVol. 36(4)
Meenakshi Mission Hospital and Research Centre (IN)
Openalex Percentile: Top 35%
Fault Detection and Control Systems
OpenAlex
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AI Based Predictive Modelling for Internal Quality Control: A Machine Learning Approach Using Altair RapidMiner. — Jayesh Warade · PubMed (2025) | TGRS Research Map | TGRS