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 …

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 …

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 …

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 …

[HTML][HTML] Digital Personal Health Coaching Platform for Promoting Human Papillomavirus Infection Vaccinations and Cancer Prevention: Knowledge Graph-Based …

N Ammar, OA Olusanya, C Melton… - JMIR formative …, 2023 - formative.jmir.org
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 …

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 …

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 …

The future of AI in health-care quality: defining the challenges and opportunities moving forward

PH Phan, CL Abad - International Journal for Quality in Health …, 2022 - academic.oup.com
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 …

Predictive modeling of epidemic diseases based on vector-borne diseases using artificial intelligence techniques

I Kaur, Y Kumar, AK Sandhu… - … intelligence in medical …, 2023 - taylorfrancis.com
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 …

Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients

G Feretzakis, A Sakagianni, D Kalles… - … and Technology in …, 2022 - ebooks.iospress.nl
Artificial intelligence processes are increasingly being used in emergency medicine, notably
for supporting clinical decisions and potentially improving healthcare services. This study …