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Ying-Erh Chen

As seen in: BMJ Open Diabetes Research & Care, MDPI
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Articles

Predicting Long-Term Care Service Demands for Cancer Patients: A Machine Learning Approach

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By Shuo-Chen Chien, Chia-Ming Yen, Ying-Erh Chen, Yu-Hung Chang
| MDPI
1. Introduction Cancer is not only a leading cause of mortality worldwide but also a significant stressor on global healthcare systems [1]. The intricate nature of cancer, combined with often-debilitating treatments such as chemotherapy and radiation, results in a complex array of physical and psychosocial challenges for patients [2,3].
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Prevalence and predictive modeling of undiagnosed diabetes and impaired fasting glucose in Taiwan: a Taiwan Biobank study

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By Ren-Hua Chung, Shao-Yuan Chuang, Ying-Erh Chen, Guo-Hung Li
| BMJ Open Diabetes Research & Care Verified
risk assessment pre-diabetic state early diagnosis WHAT IS ALREADY KNOWN ON THIS TOPIC It was estimated that among adults aged 20–79 years with diabetes globally, 44.7% are undiagnosed, and maximally 70% of individuals with pre-diabetes will develop diabetes. However, early detection of diabetes or pre-diabetes can prevent the development of further complications or the development of the disease.
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Cost-Effectiveness Analysis of Different Genetic Testing Strategies for Lynch Syndrome in Taiwan

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By Ying-Erh Chen, Tamsui Dist, Sung-Shuo Kao, Ren-Hua Chung
| PLOS
Patients with Lynch syndrome (LS) have a significantly increased risk of developing colorectal cancer (CRC) and other cancers. Genetic screening for LS among patients with newly diagnosed CRC aims to identify mutations in the disease-causing genes (i.e., the DNA mismatch repair genes) in the patients, to offer genetic testing for relatives of the patients with the mutations, and then to provide early prevention for the relatives with the mutations.
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