ILIME: Local and Global Interpretable Model-Agnostic Explainer of Black-Box Decision
Despite outperforming humans in different supervised learning tasks, complex machine
learning models are criticised for their opacity which make them hard to trust especially …
learning models are criticised for their opacity which make them hard to trust especially …
A machine learning-based approach for predicting patient punctuality in ambulatory care centers
S Srinivas - International Journal of Environmental Research and …, 2020 - mdpi.com
Late-arriving patients have become a prominent concern in several ambulatory care clinics
across the globe. Accommodating them could lead to detrimental ramifications such as …
across the globe. Accommodating them could lead to detrimental ramifications such as …
A novel method to derive personalized minimum viable recommendations for type 2 diabetes prevention based on counterfactual explanations
Despite the growing availability of artificial intelligence models for predicting type 2 diabetes,
there is still a lack of personalized approaches to quantify minimum viable changes in …
there is still a lack of personalized approaches to quantify minimum viable changes in …
Using Naive Bayes Classifier to predict osteonecrosis of the femoral head with cannulated screw fixation
S Cui, L Zhao, Y Wang, Q Dong, J Ma, Y Wang, W Zhao… - Injury, 2018 - Elsevier
Predictive models permitting personalized prognostication for patients with cannulated
screw fixation for the femoral neck fracture before operation are lacking. The objective of this …
screw fixation for the femoral neck fracture before operation are lacking. The objective of this …
Multi-crop classification using feature selection-coupled machine learning classifiers based on spectral, textural and environmental features
S He, P Peng, Y Chen, X Wang - Remote Sensing, 2022 - mdpi.com
Machine learning (ML) classifiers have been widely used in the field of crop classification.
However, having inputs that include a large number of complex features increases not only …
However, having inputs that include a large number of complex features increases not only …
FIT calculator: a multi-risk prediction framework for medical outcomes using cardiorespiratory fitness data
Accurately predicting patients' risk for specific medical outcomes is paramount for effective
healthcare management and personalized medicine. While a substantial body of literature …
healthcare management and personalized medicine. While a substantial body of literature …
Machine learning algorithm for analysing infant mortality in Bangladesh
The study aims to investigate the potential predictors associated with infant mortality in
Bangladesh through machine learning (ML) algorithm. Data on infant mortality of 26145 …
Bangladesh through machine learning (ML) algorithm. Data on infant mortality of 26145 …
Detecting congestive heart failure by extracting multimodal features with synthetic minority oversampling technique (SMOTE) for imbalanced data using robust …
The incidence of congestive heart failure (CHF) is approximately 10 per 1000 for Americans
over the age of 65 years. The dynamics of CHF are highly complex, nonlinear, and temporal …
over the age of 65 years. The dynamics of CHF are highly complex, nonlinear, and temporal …
Predicting postoperative length of stay for isolated coronary artery bypass graft patients using machine learning
Purpose Predictive analytics (PA) is a new trending approach in the field of healthcare that
uses machine learning to build a prediction model using supervised learning algorithms …
uses machine learning to build a prediction model using supervised learning algorithms …
Stone decision engine accurately predicts stone removal and treatment complications for shock wave lithotripsy and laser ureterorenoscopy patients
PA Noble, BD Hamilton, G Gerber - Plos one, 2024 - journals.plos.org
Kidney stones form when mineral salts crystallize in the urinary tract. While most stones exit
the body in the urine stream, some can block the ureteropelvic junction or ureters, leading to …
the body in the urine stream, some can block the ureteropelvic junction or ureters, leading to …