scholarly journals Application of Artificial Intelligence in Human Diagnosis and Public Health Management

2021 ◽  
Author(s):  
Weiwei Wang ◽  
Xinjie Zhao ◽  
Yanshu Jia
Keyword(s):  
Public Health ◽  
Artificial Intelligence ◽  
Detection Rate ◽  
Detection Method ◽  
Health Management ◽  
Diagnosis Rate ◽  
Missed Diagnosis ◽  
Focus Detection ◽  
Deep Learning Model ◽  
Public Health Management

Abstract To improve the diagnostic efficiency and accuracy of corona virus disease 2019 (COVID-19), and to study the application of artificial intelligence (AI) in COVID-19 diagnosis and public health management, the computer tomography (CT) image data of 200 COVID-19 patients are collected, and the image is input into the AI auxiliary diagnosis software based on the deep learning model, "uAI the COVID-19 intelligent auxiliary analysis system", for focus detection. The software automatically carries on the pneumonia focus identification and the mark in batches, and automatically calculates the lesion volume. The result shows that the CT manifestations of the patients are mainly involved in multiple lobes, and in density, the most common shadow is the ground glass opacity. The detection rate of manual detection method is 95.30%, misdiagnosis rate is 0.20% and missed diagnosis rate is 4.50%; the detection rate of AI software focus detection method based on deep learning model is 99.76%, the misdiagnosis rate is 0.08%, and the missed diagnosis rate is 0.08%. Therefore, it can effectively identify COVID-19 focus and provide relevant data information of focus to provide objective data support for COVID-19 diagnosis and public health management.

Critical Systems for Public Health Management of Floods, North Dakota

2013 ◽  
Vol 19 (3) ◽  
pp. 259-265 ◽  
Author(s):  
Tim W. Wiedrich ◽  
Juli L. Sickler ◽  
Brenda L. Vossler ◽  
Stephen P. Pickard
Keyword(s):  
Public Health ◽  
North Dakota ◽  
Health Management ◽  
Critical Systems ◽  
Public Health Management

scholarly journals Enablers of Patient Knowledge Empowerment for Self-Management of Chronic Disease: An Integrative Review

2021 ◽  
Vol 18 (5) ◽  
pp. 2247
Author(s):  
Vestina Vainauskienė ◽  
Rimgailė Vaitkienė
Keyword(s):  
Public Health ◽  
Knowledge Management ◽  
Health Management ◽  
Patient Empowerment ◽  
Integrative Review ◽  
Management Theory ◽  
Self Management ◽  
Patient Knowledge ◽  
Knowledge Management Theory ◽  
Public Health Management

The non-development of the concept of patient knowledge empowerment for disease self-management and the non-development of the theory of patient knowledge empowerment in patients with chronic diseases, cause methodological inconsistency of patient empowerment theory and does not provide a methodological basis to present patient knowledge empowerment preconditions. Therefore, the aim of the present integrative review was to synthesize and critically analyze the patient knowledge enablers distinguished in the public health management theory, the knowledge sharing enablers presented in the knowledge management theory and to integrate them by providing a comprehensive framework of patient knowledge enablers. To implement the purpose of the study, in answering the study question of what patient knowledge empowerments are and across which levels of patient knowledge empowerment they operate, an integrative review approach was applied as proposed by Cronin and George. A screening process resulted in a final sample of 78 papers published in open access, peer-review journals in the fields of public health management and knowledge management theories. Based on the results of the study, the Enablers of Patient Knowledge Empowerment for Self-Management of Chronic Disease Framework was created. It revealed that it is important to look at patient knowledge empowerment as a pathway across the empowerment levels through which both knowledge enablers identified in public health management theory and knowledge sharing enablers singled out in knowledge management theory operate. The integration of these two perspectives across patient empowerment levels uncovers a holistic framework for patient knowledge empowerment.

scholarly journals Barriers to Public Health Management of a Pertussis Outbreak in Arkansas

2004 ◽  
Vol 158 (2) ◽  
pp. 146 ◽  
Author(s):  
J. Gary Wheeler ◽  
Tracy C. Tran ◽  
Paula North ◽  
Toni Beavers-May ◽  
Gordon E. Schutze ◽  
...  
Keyword(s):  
Public Health ◽  
Health Management ◽  
Public Health Management
Sign in / Sign up

Export Citation Format

Share Document