Reviewing federated machine learning and its use in diseases prediction

M Moshawrab, M Adda, A Bouzouane, H Ibrahim… - Sensors, 2023 - mdpi.com
Machine learning (ML) has succeeded in improving our daily routines by enabling
automation and improved decision making in a variety of industries such as healthcare …

Increased nerve density adversely affects outcome in oral cancer

C Perez-Pacheco, LB Schmitd, A Furgal, EL Bellile… - Clinical Cancer …, 2023 - AACR
Purpose: Perineural invasion (PNI) in oral cavity squamous cell carcinoma (OSCC) is
associated with poor survival. Because of the risk of recurrence, patients with PNI receive …

Application of Machine Learning Based on Structured Medical Data in Gastroenterology

HJ Kim, EJ Gong, CS Bang - Biomimetics, 2023 - mdpi.com
The era of big data has led to the necessity of artificial intelligence models to effectively
handle the vast amount of clinical data available. These data have become indispensable …

Optical coherence tomography image based eye disease detection using deep convolutional neural network

Puneet, R Kumar, M Gupta - Health Information Science and Systems, 2022 - Springer
Over the past few decades, health care industries and medical practitioners faced a lot of
obstacles to diagnosing medical-related problems due to inadequate technology and …

No-free-lunch theorems for reliability analysis

M Rashki, MGR Faes - ASCE-ASME Journal of Risk and Uncertainty …, 2023 - ascelibrary.org
In most engineering problems, because of a lack of complete information about the structure
of the performance function, selection of the optimal approach for efficient reliability analysis …

Artificial intelligence and machine learning based prediction of viral load and CD4 status of people living with HIV (PLWH) on anti-retroviral treatment in Gedeo Zone …

BT Seboka, DE Yehualashet… - International Journal of …, 2023 - Taylor & Francis
Background Despite the success made in scaling up HIV treatment activities, there remains
a tremendous unmet demand for the monitoring of the disease progression and treatment …

Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review

MM Hossain, MA Kashem, MM Islam, M Sahidullah… - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) has positioned itself globally as a dominant force in the
technology sector. IoT, a technology based on interconnected devices, has found …

A Systematic Review on IoT and Machine Learning Algorithms in E-Healthcare

D Tenepalli, N TM - … Journal of Computing and Digital Systems, 2024 - journal.uob.edu.bh
In recent years, the Internet of Things (IoT) has been adopted in many applications since its
usage is essential to daily life. Also, it is a developing technology in the healthcare system to …

A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women

B Sokołowska, W Świderski, E Smolis-Bąk… - Frontiers in …, 2024 - frontiersin.org
Introduction Novel technologies based on virtual reality (VR) are creating attractive virtual
environments with high ecological value, used both in basic/clinical neuroscience and …

Heart disease Prediction using Machine Learning

S Bilgaiyan, TI Ayon, AA Khan… - 2023 International …, 2023 - ieeexplore.ieee.org
Mainly related to the cardiovascular system, brain, kidney, and peripheral arteries, the
disease is called heart disease. Heart disease can have many causes, but high blood …