The West Africa Ebola outbreak (2014–2016): A health intelligence failure?
RL Ostergard - Health Security Intelligence, 2021 - taylorfrancis.com
The role of health intelligence (HI) has received little assessment in the West African Ebola
outbreak (2014-2016). Using newly declassified information on the outbreak, this research …
outbreak (2014-2016). Using newly declassified information on the outbreak, this research …
The future of artificial intelligence in nursing: Hemşirelik alanında yapay zekanın geleceği
G Özsezer - Journal of Human Sciences, 2022 - j-humansciences.com
The world is constantly experiencing social, economic, political, cultural and technological
change. It is artificial intelligence that is expected to change all aspects of society, including …
change. It is artificial intelligence that is expected to change all aspects of society, including …
GeoAI-based epidemic control with geo-social data sharing on blockchain
S Peng, L Bai, L Xiong, Q Qu, X Xie… - 2020 IEEE International …, 2021 - ieeexplore.ieee.org
Epidemics especially those caused by major contagious diseases have entailed huge
losses in human history. The fights have thus never stopped to prevent pandemics. Due to …
losses in human history. The fights have thus never stopped to prevent pandemics. Due to …
Use of artificial neural networks in the prognosis of musculoskeletal diseases—a scoping review
F Qiu, J Li, R Zhang, K Legerlotz - BMC Musculoskeletal Disorders, 2023 - Springer
To determine the current evidence on artificial neural network (ANN) in prognostic studies of
musculoskeletal diseases (MSD) and to assess the accuracy of ANN in predicting the …
musculoskeletal diseases (MSD) and to assess the accuracy of ANN in predicting the …
[HTML][HTML] Digital Personal Health Coaching Platform for Promoting Human Papillomavirus Infection Vaccinations and Cancer Prevention: Knowledge Graph-Based …
Background Health promotion can empower populations to gain more control over their well-
being by using digital interventions that focus on preventing the root causes of diseases …
being by using digital interventions that focus on preventing the root causes of diseases …
Personalized therapy using deep learning advances
N Gaur, R Dharwadkar… - Deep Learning for …, 2022 - Wiley Online Library
Personalized therapy is the process of providing personalizing medical care to particular
patients based on various features including genetics, inheritance, and lifestyle. The core …
patients based on various features including genetics, inheritance, and lifestyle. The core …
Multi-label text mining to identify reasons for appointments to drive population health analytics at a primary care setting
L Abu Lekham, Y Wang, E Hey… - Neural Computing and …, 2022 - Springer
While much research has been conducted regarding population health analytics (PHA),
there is limited research related to text mining in that area. In this research, a novel multi …
there is limited research related to text mining in that area. In this research, a novel multi …
The future of AI in health-care quality: defining the challenges and opportunities moving forward
Interest in artificial intelligence (AI) in health care has grown substantially, enabled by the
development and consumerization of analytical tools. This interest is enabled by machine …
development and consumerization of analytical tools. This interest is enabled by machine …
Predictive modeling of epidemic diseases based on vector-borne diseases using artificial intelligence techniques
Infectious illnesses have a massive effect on the worldwide population's health and the
economy. Vector-borne diseases are the primary cause of morbidity and death. This illness …
economy. Vector-borne diseases are the primary cause of morbidity and death. This illness …
Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients
Artificial intelligence processes are increasingly being used in emergency medicine, notably
for supporting clinical decisions and potentially improving healthcare services. This study …
for supporting clinical decisions and potentially improving healthcare services. This study …