Applying an AI Predictive Model in Detecting High-Risk Erectile Dysfunction Patients with an M-Health System to Prevent Disease Deterioration-Reference-Cited by-同舟云学术

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Applying an AI Predictive Model in Detecting High-Risk Erectile Dysfunction Patients with an M-Health System to Prevent Disease Deterioration

Published:2023-08-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Conference on Knowledge Innovation and Invention (ICKII)
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Author:

Wang Jhih-Cheng¹,Lin Chih-Sheng²,Chen Yung-Fu³

Affiliation:

1. Chi Mei Medical Center,Department of Urology,Tainan,Taiwan

2. The Affiliated BenQ Hospital of Nanjing Medical University,BenQ Medical Center,Department of Radiology,Nanjing,China

3. Central Taiwan University of Science & Technology,Department of Dental Technology & Materials Science,Taichung,Taiwan

Funder

Ministry of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10332455/10332553/10332644.pdf?arnumber=10332644

Reference16 articles.

1. Design of a Clinical Decision Support System for Predicting Erectile Dysfunction in Men Using NHIRD Dataset

2. Designing a clinical decision support system to predict readmissions for patients admitted with all-cause conditions

3. Predictive models for detecting patients more likely to develop acute myocardial infarctions

4. A Clinical Predictive Model for Detecting Discharged Pneumonia Patients Who Have Higher Risk of Readmission;Hsu;Electronics,2022

5. Integrative review of clinical decision support for registered nurses in acute care settings

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