[HTML][HTML] Data mining for wearable sensors in health monitoring systems: a review of recent trends and challenges

H Banaee, MU Ahmed, A Loutfi - Sensors, 2013 - mdpi.com
The past few years have witnessed an increase in the development of wearable sensors for
health monitoring systems. This increase has been due to several factors such as …

Sensor fusion and smart sensor in sports and biomedical applications

JJA Mendes Jr, MEM Vieira, MB Pires, SL Stevan Jr - Sensors, 2016 - mdpi.com
The following work presents an overview of smart sensors and sensor fusion targeted at
biomedical applications and sports areas. In this work, the integration of these areas is …

An XGBoost-based physical fitness evaluation model using advanced feature selection and Bayesian hyper-parameter optimization for wearable running monitoring

J Guo, L Yang, R Bie, J Yu, Y Gao, Y Shen, A Kos - Computer Networks, 2019 - Elsevier
Thanks to the improvement of technologies such as Internet of Things, bio-sensing and data
mining, smart wearable technologies have recently received increasing attention for …

SMOTE-XGBoost using Tree Parzen Estimator optimization for copper flotation method classification

H Dong, D He, F Wang - Powder Technology, 2020 - Elsevier
Classification of the flotation method is an important stage in the design of the flotation
process. This study faces the problems of small samples and category imbalance through …

Computational intelligence identifies alkaline phosphatase (ALP), alpha-fetoprotein (AFP), and hemoglobin levels as most predictive survival factors for hepatocellular …

D Chicco, L Oneto - Health Informatics Journal, 2021 - journals.sagepub.com
Liver cancer kills approximately 800 thousand people annually worldwide, and its most
common subtype is hepatocellular carcinoma (HCC), which usually affects people with …

Decision system for copper flotation backbone process

H Dong, F Wang, D He, Y Liu - Engineering Applications of Artificial …, 2023 - Elsevier
This study proposed a decision system that can output the flotation backbone flowchart
using the natural properties of copper ore. The proposed decision system includes three …

Federated learning for data mining in healthcare

S Sharma, A Kesarwani, S Maheshwari… - Federated Learning for IoT …, 2022 - Springer
Vast developments in technology have occurred in both hardware and software, and now
increasing amounts of data related to healthcare is readily available, for example, the data of …

Automatic cardiopulmonary endurance assessment: a machine learning approach based on GA-XGBOOST

J Deng, Y Fu, Q Liu, L Chang, H Li, S Liu - Diagnostics, 2022 - mdpi.com
Objective: Among various assessment paradigms, the cardiopulmonary exercise test (CPET)
provides rich evidence as part of the cardiopulmonary endurance (CPE) assessment …

Machine learning approach to flare-up detection and clustering in chronic obstructive pulmonary disease (COPD) patients

R Rueda, E Fabello, T Silva, S Genzor, J Mizera… - … Information Science and …, 2024 - Springer
Purpose Chronic obstructive pulmonary disease (COPD) is a prevalent and preventable
condition that typically worsens over time. Acute exacerbations of COPD significantly impact …

From Numerical Sensor Data to Semantic Representations: A Data-driven Approach for Generating Linguistic Descriptions

H Banaee - 2018 - diva-portal.org
In our daily lives, sensors recordings are becoming more and more ubiquitous. With the
increased availability of data comes the increased need of systems that can represent the …