Reviewing federated machine learning and its use in diseases prediction
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 …
automation and improved decision making in a variety of industries such as healthcare …
Increased nerve density adversely affects outcome in oral cancer
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 …
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
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 …
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 …
obstacles to diagnosing medical-related problems due to inadequate technology and …
No-free-lunch theorems for reliability analysis
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 …
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 …
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
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 …
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 …
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 …
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 …
disease is called heart disease. Heart disease can have many causes, but high blood …