A novel explainable machine learning approach for EEG-based brain-computer interface systems
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05624-w
Abstract: Electroencephalographic (EEG) recordings can be of great help in decoding the open/close hand’s motion preparation. To this end, cortical EEG source signals in the motor cortex (evaluated in the 1-s window preceding movement onset) are… read more here.
Keywords: hand; explainable machine; learning approach; machine learning ... See more keywords
Differentiation of intestinal tuberculosis and Crohn’s disease through an explainable machine learning method
Sign Up to like & getrecommendations! Published in 2022 at "Scientific Reports"
DOI: 10.1038/s41598-022-05571-7
Abstract: Differentiation between Crohn’s disease and intestinal tuberculosis is difficult but crucial for medical decisions. This study aims to develop an effective framework to distinguish these two diseases through an explainable machine learning (ML) model. After… read more here.
Keywords: machine; crohn disease; differentiation; machine learning ... See more keywords
Explainable machine learning model for predicting furosemide responsiveness in patients with oliguric acute kidney injury
Sign Up to like & getrecommendations! Published in 2023 at "Renal Failure"
DOI: 10.1080/0886022x.2022.2151468
Abstract: Abstract Background Although current guidelines didn’t support the routine use of furosemide in oliguric acute kidney injury (AKI) management, some patients may benefit from furosemide administration at an early stage. We aimed to develop an… read more here.
Keywords: acute kidney; kidney injury; explainable machine; machine learning ... See more keywords
An explainable machine learning model for predicting the outcome of ischemic stroke after mechanical thrombectomy
Sign Up to like & getrecommendations! Published in 2022 at "Journal of NeuroInterventional Surgery"
DOI: 10.1136/jnis-2022-019598
Abstract: Background There is high variability in the clinical outcomes of patients with acute ischemic stroke (AIS) after mechanical thrombectomy (MT). Methods 217 consecutive patients with anterior circulation large vessel occlusion who underwent MT between August… read more here.
Keywords: explainable machine; ischemic stroke; model; mechanical thrombectomy ... See more keywords
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0263248
Abstract: Inflammatory bowel diseases (IBDs), including ulcerative colitis and Crohn’s disease, affect several million individuals worldwide. These diseases are heterogeneous at the clinical, immunological and genetic levels and result from complex host and environmental interactions. Investigating… read more here.
Keywords: inflammatory bowel; drug; medicine; machine learning ... See more keywords
secml: Secure and explainable machine learning in Python
Sign Up to like & getrecommendations! Published in 2022 at "SoftwareX"
DOI: 10.2139/ssrn.4003262
Abstract: We present secml , an open-source Python library for secure and explainable machine learning. It implements the most popular attacks against machine learning, including test-time evasion attacks to generate adversarial examples against deep neural networks… read more here.
Keywords: machine; machine learning; explainable machine; secml secure ... See more keywords
Dissecting Breeders’ Sense via Explainable Machine Learning Approach: Application to Fruit Peelability and Hardness in Citrus
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.832749
Abstract: “Genomics-assisted breeding”, which utilizes genomics-based methods, e.g., genome-wide association study (GWAS) and genomic selection (GS), has been attracting attention, especially in the field of fruit breeding. Low-cost genotyping technologies that support genome-assisted breeding have already… read more here.
Keywords: quality traits; quality; machine learning; explainable machine ... See more keywords
An Explainable Machine Learning Pipeline for Stroke Prediction on Imbalanced Data
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12102392
Abstract: Stroke is an acute neurological dysfunction attributed to a focal injury of the central nervous system due to reduced blood flow to the brain. Nowadays, stroke is a global threat associated with premature death and… read more here.
Keywords: machine learning; explainable machine; prediction; stroke ... See more keywords
Explainable Machine Learning to Predict Successful Weaning of Mechanical Ventilation in Critically Ill Patients Requiring Hemodialysis
Sign Up to like & getrecommendations! Published in 2023 at "Healthcare"
DOI: 10.3390/healthcare11060910
Abstract: Lungs and kidneys are two vital and frequently injured organs among critically ill patients. In this study, we attempt to develop a weaning prediction model for patients with both respiratory and renal failure using an… read more here.
Keywords: ill patients; critically ill; requiring hemodialysis; explainable machine ... See more keywords