Analyzing Systemic Sclerosis Dynamics Using Total Variation Diminishing (TVD) Methods and Assessing the Impact of Trade Openness on Healthcare Access

O Cox - World Information Technology and Engineering …, 2024 - hal.science
Systemic sclerosis (SSc) is a chronic autoimmune disease characterized by fibrosis and
vascular abnormalities. Understanding the progression of SSc is crucial for developing …

Utilizing Godunov's Method and Panel Data Analysis to Study Inflammation Dynamics

L Ye - World Journal of Technology and Scientific Research, 2024 - hal.science
Inflammation is a critical physiological response to injury or infection, yet chronic
inflammation can lead to various diseases, including arthritis, cardiovascular diseases, and …

Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models

N Seidi, S Roy, SK Das, A Tripathy - arXiv preprint arXiv:2407.14960, 2024 - arxiv.org
The diversity in disease profiles and therapeutic approaches between hospitals and health
professionals underscores the need for patient-centric personalized strategies in healthcare …

Leveraging Artificial Intelligence and Dynamical Systems in Health Informatics: A Comprehensive Framework for Predictive Healthcare Analytics

S Ling - World Information Technology and Engineering …, 2024 - papers.ssrn.com
This article explores the integration of artificial intelligence (AI) and dynamical systems
within the realm of health informatics to enhance predictive healthcare analytics. The study …

Convergence of Smart Health, Data Mining, and Dynamical Systems: A Paradigm Shift in Healthcare

P Rastogi - American-Eurasian Journal of Scientific Research, 2024 - papers.ssrn.com
This article explores the synergistic convergence of Smart Health, Data Mining, and
Dynamical Systems, elucidating the transformative potential of their integration in reshaping …

Exploring the Applications of Burger's Equation in Modeling Skin Cancer Progression and Asset Price Dynamics

J Mahathevan - International Journal of Engineering and applied …, 2024 - hal.science
This study explores the application of Burger's equation, a nonlinear partial differential
equation, in modeling phenomena in both biomedical and financial contexts. Specifically, it …

Integrating Finite-Volume Methods with Time Series Analysis for Enhanced Cancer Prevention Strategies

A Scott - Asian Journal of Basic and Applied Sciences, 2024 - hal.science
Cancer prevention remains a paramount objective in public health, necessitating innovative
approaches to predict, monitor, and mitigate risks. This article explores the integration of …

Enhancing Cancer Prevention through the Integration of Finite-Volume Methods and Time Series Analysis

A Adusaradee - European Journal of Scientific and Applied Sciences, 2024 - hal.science
Cancer prevention remains a critical goal in public health, necessitating innovative
approaches to improve prediction and intervention strategies. This article explores the …

Using Total Variation Diminishing (TVD) Methods to Model Cytokine Dynamics and Analyzing the Impact of Corruption on Healthcare Delivery

M Campbell - World Engineering and Applied Sciences Journal, 2024 - hal.science
Cytokines play a crucial role in the immune response, mediating and regulating
inflammation, immunity, and hematopoiesis. Understanding the complex dynamics of …

Enhancing Predictive Analytics through the Integration of Neural Networks and Machine Learning with Applied Mathematics

Y Rui - World Engineering and Applied Sciences Journal, 2024 - papers.ssrn.com
This article explores the synergistic integration of neural networks, machine learning, and
applied mathematics to enhance predictive analytics. The aim is to demonstrate the potential …