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An effective rule-and network-based approach for identification of gender-and age-dependent comorbidity patterns in diabetic patients
Diabetes is a chronic (long-lasting) condition, and it is becoming more and more common in
both developed and develo** countries. Compared to people without diabetes, people …
both developed and develo** countries. Compared to people without diabetes, people …
Multi-layer representation learning and its application to electronic health records
Abstract Electronic Health Records (EHRs) are digital records associated with
hospitalization, diagnosis, medications and so on. Secondary use of EHRs can promote the …
hospitalization, diagnosis, medications and so on. Secondary use of EHRs can promote the …
[PDF][PDF] An Effective Rule Based Approach for Identification of Comorbidity Patterns in Diabetic Patients
Diabetes is a chronic (long-lasting) disease and its incidence is quickly growing, in both
develo** and developed nations. Diabetes patients have more risk of develo** multiple …
develo** and developed nations. Diabetes patients have more risk of develo** multiple …
Application of Deep Learning Methods in the Diagnosis of Coronary Heart Disease Based on Electronic Health Record
H Meng, X Wang - International Conference on Neural Information …, 2023 - Springer
With the development of Internet technology, the number of electronic health record data has
surged. Also, artificial intelligence simulates the ability of human beings to solve problems …
surged. Also, artificial intelligence simulates the ability of human beings to solve problems …
Artificial Intelligence for the Diagnosis and Treatment of Diabetes Kidney Disease: a systematic review
SM Abrar - medRxiv, 2021 - medrxiv.org
Background Diabetic nephropathy (DN) is a serious microvascular complication that affects
40% of diabetes patients. In the last decade, artificial intelligence (AI) has been widely used …
40% of diabetes patients. In the last decade, artificial intelligence (AI) has been widely used …