Yan Zhang; Chao Chen; Lingfeng Huang; Gang Liu; Tingyu Lian; Mingjuan Yin; Zhiguang Zhao; Jian Xu; Ruoling Chen; Yingbin Fu; Dongmei Liang; Jinmei Zeng; Jindong Ni

Relevance of Frequent Pattern (FP)-Growth-Based Association Rules on Liver Diseases

Lecture notes in networks and systems (2022)

Punyaban Patel; Borra Sivaiah; Riyam Patel

Mining associations between glycemic variability in awake-time and in-sleep among non-diabetic adults

Frontiers in Medical Technology 4 (2022)

Zilu Liang

The diabetes mellitus multimorbidity network in hospitalized patients over 50 years of age in China: data mining of medical records

BMC Public Health 24(1) (2024)

Chao Chen; Xueting Zheng; Shaobing Liao; Shimin Chen; Minyi Liang; Kang Tang; Mingjuan Yin; Huansheng Liu; Jindong Ni

Using association rule mining to jointly detect clinical features and differentially expressed genes related to chronic inflammatory diseases

PLoS ONE 15(10) (2020)

Rosana Veroneze; Sâmia Cruz Tfaile Corbi; Bárbara Roque da Silva; Cristiane S. Rocha; Cláudia Vianna Maurer‐Morelli; Silvana Regina Perez Orrico; Joni Augusto Cirelli; Fernando José Von Zuben; Raquel Mantuaneli Scarel‐Caminaga

Association rule mining of time-based patterns in diabetes-related comorbidities on imbalanced data: a pre- and post-diagnosis study

BMC Medical Informatics and Decision Making 25(1) (2025)

Robert Baťa; Amr Sayed Ghanem; Eszter Vargáné Faludi; Ferenc Sztanek; Attila Csaba Nagy

Data-Driven Analysis of Stimulation Treatments Using Association Rule Mining

SPE Production & Operations 38(03) (2023)

Rouhollah Ahmadi; Babak Aminshahidy; Jamal Shahrabi

Exploring the Intersection of Machine Learning and Causality in Advanced Diabetes Management: New Insight and Opportunities

Synthesis lectures on engineering, science, and technology (2024)

Sahar Echajei; Yman Chemlal; Hanane Ferjouchia; Mostafa Rachik; Nassim Essabah Haraj; Asma Chadli

Artificial intelligence in gastroenterology: Enhancing clinical practice, managing challenges and exploring future directions

Artificial Intelligence in Gastroenterology 6(2) (2025)

Arjuna Priyadarsin De Silva; Krishanni Prabagar

OpenAlex

Machine Learning and Data Mining Methods in Diabetes Research

Markers of insulin resistance in Polycystic ovary syndrome women: An update

Detection and Prediction of Diabetes Using Data Mining: A Comprehensive Review

Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis

Contributions and Implications of the Tehran Lipid and Glucose Study

Machine Learning Techniques for Screening and Diagnosis of Diabetes: a Survey

Development of a new metric to identify rare patterns in association analysis: The case of analyzing diabetes complications

A survey on data mining techniques used in medicine

Evaluation of rational nonsteroidal anti-inflammatory drugs and gastro-protective agents use; association rule data mining using outpatient prescription patterns

Discovering the symptom patterns of COVID-19 from recovered and deceased patients using Apriori association rule mining

Association Rules Mining for Hospital Readmission: A Case Study

Environmental exposures in machine learning and data mining approaches to diabetes etiology: A scoping review

Machine and deep learning techniques for the prediction of diabetics: a review

Assessing body composition through anthropometry: Implications for diagnosing and managing polycystic ovary syndrome (PCOS)

Identifying usual food choices at meals in overweight and obese study volunteers: implications for dietary advice

Pediatric population health analysis of southern and central Illinois region: A cross sectional retrospective study using association rule mining and multiple logistic regression

Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records

Relevance of Frequent Pattern (FP)-Growth-Based Association Rules on Liver Diseases

Mining associations between glycemic variability in awake-time and in-sleep among non-diabetic adults

The diabetes mellitus multimorbidity network in hospitalized patients over 50 years of age in China: data mining of medical records

Using association rule mining to jointly detect clinical features and differentially expressed genes related to chronic inflammatory diseases

Association rule mining of time-based patterns in diabetes-related comorbidities on imbalanced data: a pre- and post-diagnosis study

Data-Driven Analysis of Stimulation Treatments Using Association Rule Mining

Exploring the Intersection of Machine Learning and Causality in Advanced Diabetes Management: New Insight and Opportunities

Using Data Mining Techniques for Designing Patient-Friendly Hospitals

Text Mining Approach to Analyse the Relation between Obesity and Breast Cancer Data

An effective text mining framework using adaptive principle component analysis

Quality Improvement of Healthcare Services Through Data Analytics Processes

Reconstruction Error-Based Efficient Deep Neural Network for Diabetes Prediction in the Korean Population

An Ensemble Deep Learning Method for Diabetes Mellitus

Artificial intelligence in gastroenterology: Enhancing clinical practice, managing challenges and exploring future directions

Apriori birliktelik kuralları madenciliği kullanılarak iç hastalıkları tetkiklerinin keşfedilmesi

Weighted Compact Tree for Discovery of Association among Frequent and Rare Attributes

Analysis of pediatric absence epilepsy electroencephalograms using a mining-based association rule approach