Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection …

YH Bhosale, KS Patnaik - Multimedia Tools and Applications, 2023 - Springer
This review investigates how Deep Machine Learning (DML) has dealt with the Covid-19
epidemic and provides recommendations for future Covid-19 research. Despite the fact that …

[HTML][HTML] Emerging technologies for the management of COVID19: a review

N Zafar, J Ahamed - Sustainable Operations and Computers, 2022 - Elsevier
The outbreak of COVID19 has put a halt on life over the globe. For a while, everything was
stopped except the spread of disease and mortality rate. This has become the greatest …

Managing hospital inpatient beds under clustered overflow configuration

X Gong, X Wang, L Zhou, N Geng - Computers & Operations Research, 2022 - Elsevier
Inpatient beds represent one of the most critical resources in hospitals, of which the
availability has been under increasing pressure in China. Such beds are usually to be either …

PSO-XnB: a proposed model for predicting hospital stay of CAD patients

GP Miriyala, AK Sinha - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
Coronary artery disease poses a significant challenge in decision-making when predicting
the length of stay for a hospitalized patient. This study presents a predictive model—a …

DLSDHMS: Design of a deep learning-based analysis model for secure and distributed hospital management using context-aware sidechains

VS Reddy, K Debasis - Heliyon, 2023 - cell.com
Designing an efficient hospital management solution requires the integration of multidomain
operations that include secure storage, alert system modelling, infrastructure management …

The role of IoT in the fight against Covid-19 to restructure the economy

A Sharma - HCI International 2021-Late Breaking Papers: HCI …, 2021 - Springer
In the current Covid-19 situation, people all over the world must begin to adhere to social
distancing guidelines. However, ensuring that people follow these social distancing …

A Hybrid Mathematical-Simulation Approach to Hospital Beds Capacity Optimization for COVID-19 Pandemic Conditions

R Maleki, M Taghizadeh-Yazdi, R Ghasemi… - Operations Research …, 2024 - Springer
The COVID-19 pandemic was an unforeseen threat to human survival, and the efficiency of
the health sector faced a severe challenge. The lack of hospital beds was one of the most …

Demystifying the Role of Digital Leadership in the Healthcare Industry: A Systematic Review Towards the Development of a Digital Leadership Framework in the …

M Hussain, I Sarfraz, A Sharma - International Conference on Human …, 2023 - Springer
The healthcare industry has observed several changes in its operations over the past
decades due to continuous innovation and new technologies. To combat the challenges of …

Improving healthcare outcomes using multimedia big data analytics

I Razzak, P Eklund, G Xu - Neural Computing and Applications, 2022 - Springer
The field of health informatics has revolutionized the face of healthcare in the past decade.
The increasingly aging population, prevalence of chronic diseases, and rising costs have …

Research on an evaluation index system of critical emergency management capability based on machine learning in a complex scientific environment

X Zhao, Z Hu - Frontiers in Ecology and Evolution, 2023 - frontiersin.org
Introduction A complex scientific environment requires multiple considerations for handling
critical and emergency conditions with an addressing solution. Indexing and prioritizing are …