Identification of esophageal cancer pathway deviation and construction of a diagnosis model using three kernel genes
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Cellular Physiology"
DOI: 10.1002/jcp.28442
Abstract: The purpose of this study is to better understand the role of interleukin 35 (IL35) in esophageal carcinoma by comparing the mRNA level in Barrett's esophageal mucosa and in matched normal squamous mucosa and to… read more here.
Keywords: identification esophageal; model; esophageal cancer; diagnosis model ... See more keywords
A fault diagnosis model for proton exchange membrane fuel cell based on impedance identification with differential evolution algorithm
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2021.09.126
Abstract: Abstract An effective online fault diagnosis system is of great significance to improve the reliability of fuel cell vehicles. In this paper, a fault diagnosis model for proton exchange membrane fuel cells is proposed. Firstly,… read more here.
Keywords: fault; diagnosis; fuel; fault diagnosis ... See more keywords
A machine and human reader study on AI diagnosis model safety under attacks of adversarial images
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-27577-x
Abstract: While active efforts are advancing medical artificial intelligence (AI) model development and clinical translation, safety issues of the AI models emerge, but little research has been done. We perform a study to investigate the behaviors… read more here.
Keywords: model safety; model; diagnosis model; adversarial images ... See more keywords
Optimization of a Dynamic Fault Diagnosis Model Based on Machine Learning
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DOI: 10.1109/access.2018.2877959
Abstract: A delay dynamic coupled fault diagnosis (DDCFD) model is a kind of effective fault diagnosis model based on probability graph for complex systems. Previous research assumes that its structure and parameters are all known before… read more here.
Keywords: model based; model; fault diagnosis; diagnosis model ... See more keywords
Small sample-based disease diagnosis model acquisition in medical human-centered computing
Sign Up to like & getrecommendations! Published in 2019 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-019-1541-y
Abstract: With the development of wireless communications and networks, HCC (human-centred computing) has attracted considerable attention in recent years throughout the medical field. HCC can provide an effective integration of various medical auxiliary diagnosis models using… read more here.
Keywords: diagnosis; model acquisition; auxiliary diagnosis; model ... See more keywords
Construction and Analysis of a Joint Diagnosis Model of Random Forest and Artificial Neural Network for Obesity
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2022.906001
Abstract: Obesity is a significant global health concern since it is connected to a higher risk of several chronic diseases. As a consequence, obesity may be described as a condition that reduces human life expectancy and… read more here.
Keywords: neural network; diagnosis; diagnosis model; random forest ... See more keywords
Constructing a Multiple Sclerosis Diagnosis Model Based on Microarray
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2021.721788
Abstract: Introduction Multiple sclerosis is an immune-mediated demyelinating disorder of the central nervous system. Because of the complexity of etiology, pathology, clinical manifestations, and the diversity of classification, the diagnosis of MS is very difficult. We… read more here.
Keywords: diagnosis; diagnosis model; based microarray; model ... See more keywords
Exploring Multiple Strategic Problem Solving Behaviors in Educational Psychology Research by Using Mixture Cognitive Diagnosis Model
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2021.568348
Abstract: A mixture cognitive diagnosis model (CDM), which is called mixture multiple strategy-Deterministic, Inputs, Noisy “and” Gate (MMS-DINA) model, is proposed to investigate individual differences in the selection of response categories in multiple-strategy items. The MMS-DINA… read more here.
Keywords: mixture cognitive; model; cognitive diagnosis; diagnosis model ... See more keywords