Results 51 to 60 of about 16,629 (155)

Explainable data mining model for hyperinsulinemia diagnostics

Connection Science
In our research, we present a data mining model for the early diagnosis of hyperinsulinemia, potentially reducing the risk of diabetes, heart disease, and other chronic conditions.
Nevena Rankovic, Dragica Rankovic, Mirjana Ivanovic, Igor Lukic   +3 more
doaj   +1 more source

Functional Principal Component Analysis and Randomized Sparse Clustering Algorithm for Medical Image Analysis. [PDF]

PLoS ONE, 2015
Due to the advancement in sensor technology, the growing large medical image data have the ability to visualize the anatomical changes in biological tissues. As a consequence, the medical images have the potential to enhance the diagnosis of disease, the
Nan Lin, Junhai Jiang, Shicheng Guo, Momiao Xiong   +3 more
doaj   +1 more source

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, Volume 45, Issue 5, Page 2186-2212, August 2026.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

Predicting health outcomes with intensive longitudinal data collected by mobile health devices: a functional principal component regression approach

BMC Medical Research Methodology
Background Intensive longitudinal data (ILD) collected in near real time by mobile health devices provide a new opportunity for monitoring chronic diseases, early disease risk prediction, and disease prevention in health research.
Qing Yang, Meilin Jiang, Cai Li, Sheng Luo, Matthew J. Crowley, Ryan J. Shaw   +5 more
doaj   +1 more source

Disproportional ventilatory response to incremental exercise in individuals with cerebral palsy

Developmental Medicine &Child Neurology, Volume 68, Issue 8, Page 1139-1151, August 2026.
Individuals with cerebral palsy demonstrate a disproportionate ventilatory response during incremental exercise. Compared with typically developing peers, respiratory frequency increases earlier and at comparable exercise intensities, contributing to higher perceived exertion and reduced ventilatory efficiency. At task failure, respiratory frequency is
Linnéa Corell, Emma Hjalmarsson, Rodrigo Fernandez‐Gonzalo, Annika Kruse, Sebastian Edman, Asta Kizyte, Rouli Wang, Arnoud Edelman Bos, Peder Sörensson, Eva Pontén, Petra E. M. van Schie, Annemieke I. Buizer, Jessica Norrbom, Daniele A. Cardinale, Ferdinand von Walden   +14 more
wiley   +1 more source

Aircraft Engine Prognostics Based on Informative Sensor Selection and Adaptive Degradation Modeling with Functional Principal Component Analysis

Sensors, 2020
Engine prognostics are critical to improve safety, reliability, and operational efficiency of an aircraft. With the development in sensor technology, multiple sensors are embedded or deployed to monitor the health condition of the aircraft engine.
Bin Zhang, Kai Zheng, Qingqing Huang, Song Feng, Shangqi Zhou, Yi Zhang   +5 more
doaj   +1 more source

Human milk oligosaccharide composition and associations with growth: results from an observational study in the US

Frontiers in Nutrition, 2023
BackgroundBreast milk is the recommended source of nutrients for newborns and infants. Human milk oligosaccharides (HMO) are the third most abundant solid component in human milk and their composition varies during lactation.ObjectivesOur objective was ...
Fabio Mainardi, Aristea Binia, Purva Rajhans, Sean Austin, Sean Deoni, Sean Deoni, Sean Deoni, Nora Schneider   +7 more
doaj   +1 more source

A Comprehensive Review of Traditional and Machine Learning‐Assisted Diffuse Optical Spectroscopy and Imaging Techniques for Dermatological Applications

Advanced Photonics Research, Volume 7, Issue 5, May 2026.
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain, Li Xiuting, Randall Ang Jie, Keertana Vinod Ram, Mark Teo Ju Teng, Valerie Xinhui Teo, Malini Olivo, U. S. Dinish   +7 more
wiley   +1 more source

Functional Data Analysis of Particulate Matter (PM₁₀) in Chungbuk, Korea: An Application of Penalized B-Spline Smoothing and Functional Inference

Axioms
Functional data analysis (FDA) provides a framework for representing high-frequency or longitudinal observations as smooth functions, enabling principled dimension reduction and feature extraction.
Eun-Ji Lee, Ji Hyeon Lee, Hee-Jung Jee, Jae-Hwan Jhong   +3 more
doaj   +1 more source

Health Prognostics in Multi‐Sensor Systems Based on Multivariate Functional Data Analysis

Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.
ABSTRACT Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi‐sensor data collected from systems, allowing for the prediction of the “Remaining Useful Life” (RUL) of system components.
Cevahir Yildirim, Alba M. Franco‐Pereira, Rosa E. Lillo   +2 more
wiley   +1 more source