International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.This study proposes a novel machine learning (ML) approach for early detection of thyroid disorders using data mining and ensemble learning techniques. By leveraging a diverse dataset—including demographic details, medical history, symptoms, and diagnostic test results—a high‐precision model is developed to predict the risk of thyroid dysfunction.
Sa’ed Abed +3 more
wiley +1 more source
Leveraging Electronic Health Dataset to Identify Co‐existing Multimorbidity in Individuals with Alzheimer's Disease in the Midwestern United States [PDF]
Alzheimers DementAbstract Background Alzheimer's Disease (AD) frequently co‐occurs with multiple chronic conditions (MCCs). This study aimed to identify specific combinations of MCCs, utilizing detailed ICD‐10 groupings to inform targeted prevention strategies. Method We analyzed de‐identified electronic health records (EHR) of 2,629 AD patients from the University of ...
Chi N +10 more
europepmc +2 more sources
Application of Data Mining for Ceramic Sales Data Association Using Apriori Algorithm
KnowbaseThis research is conducted to provide an understanding of consumer purchasing patterns at CV. Sukses Bersama by applying data mining using the association rules method and the Apriori algorithm to identify the relationships between one item that ...
M. Ilham Habibi +3 more
doaj +1 more source
Sales Analysis Using Apriori Algorithm
Jurnal Riset InformatikaPT JR Pangan Semesta is a company that produces fast food in the form of Donuts and Sweet Bread under the Deroti brand. The sales and promotion methods that have been carried out have weaknesses because the company has difficulty ensuring the right amount of bread production, so there is often excess or lack of stock.
null Roja' Putri Cintani, Desti Fitriati
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Rainfall Prediction using Apriori Algorithm
International Journal of Recent Technology and Engineering, 2019 The growth of machine learning techniques has paved way for predicting various areas and weather prediction is one of the most commonly used application. One of the most interesting part of research is rainfall prediction Rainfall prediction is done by various researchers as it is one of the prime aspects in detecting the rainfall and measuring its ...
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Retracted: Live Multiattribute Data Mining and Penalty Decision-Making in Basketball Games Based on the Apriori Algorithm. [PDF]
Appl Bionics Biomech, 2023 And Biomechanics AB.
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Analyzing Subway Operation Accidents Causations: Apriori Algorithm and Network Approaches. [PDF]
Int J Environ Res Public Health, 2023 Deng Y, Zhang Y, Yuan Z, Li RYM, Gu T.
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Survey on various improved Apriori Algorithms
IJARCCE, 2014 Data Mining is a way of obtaining undetected patterns or facts from massive amount of data in a database. Association rule mining is a major technique in the area of data mining. Association rule mining finds frequent itemsets from a set of transactional databases. Apriori algorithm is one of the earliest algorithm of association rule mining.
SHILPI SINGLA, ARUN MALIK
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Classification of Cardiotocography Based on the Apriori Algorithm and Multi-Model Ensemble Classifier. [PDF]
Front Cell Dev Biol, 2022 Chen M, Yin Z.
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Applying Apriori algorithm to explore long-term care services usage status-Variables based on the combination of patients with dementia and their caregivers. [PDF]
Front Psychol, 2022 Chen YJ +5 more
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