Results 31 to 40 of about 44,463 (307)

Ekeany/Boruta-Shap: Boruta Shap

, 2020
BorutaShap is a wrapper feature selection method which combines both the Boruta feature selection algorithm with shapley ...
ag-tcm, Rory Byrne, Ekeany
core   +1 more source

Data-Driven Identification of Long-Term Glycemia Clusters and Their Individualized Predictors in Finnish Patients with Type 2 Diabetes

Clinical Epidemiology, 2023
Piia Lavikainen,1,* Gunjan Chandra,2,* Pekka Siirtola,2 Satu Tamminen,2 Anusha T Ihalapathirana,2 Juha Röning,2 Tiina Laatikainen,3– 5 Janne Martikainen1 1School of Pharmacy, University of Eastern Finland, Kuopio, Finland; 2Biomimetics and ...
Lavikainen P, Chandra G, Siirtola P, Tamminen S, Ihalapathirana AT, Röning J, Laatikainen T, Martikainen J   +7 more
doaj  

Machine learning based ground motion site amplification prediction

Frontiers in Earth Science, 2023
Site condition impact on seismic ground motion has been a complex but important subject in earthquake hazard analysis. Traditional studies on site amplification effect are either based on site response via wave propagation simulation or regression ...
Xiangqi Wang, Zifa Wang, Zifa Wang, Jianming Wang, Pengyu Miao, Haotian Dang, Zhaoyan Li   +6 more
doaj   +1 more source

Overall SHAP explanations.

, 2023
SHAP explanations, purple color representing higher values of the covariate while yellow representing lower values of the covariate. X-axis is the change in log-odds for reporting an asthma attack within the past year.
Samuel Y. Huang (14670660), Alexander A. Huang (14670657)   +1 more
core   +3 more sources

SHAP force plot.

, 2022
SHAP force plot.
Sazzli Kasim (11218558), Nurulain Ibrahim (14247915), Sorayya Malek (9288581), Khairul Shafiq Ibrahim (11218552), Firdaus Aziz (11218549), Alan Fong (14247906), Jia Hui Hiew (14247912), Wan Azman Wan Ahmad (8292840), Cheen Song (14247903), Muhammad Shahreeza Safiruz (14247909)   +9 more
core   +1 more source

Explainable machine learning model predicts response to adjuvant therapy after radical cystectomy in bladder cancer

Frontiers in Oncology
PurposeRadical cystectomy (RC) is the standard treatment for muscle-invasive and select high-risk non–muscle-invasive bladder cancer. Despite definitive surgery, recurrence and progression remain major clinical concerns.
Jian Hou, Yi Ding, Runlin Feng, Yumin Wang, Yanping Tao, Junxiong Li, Jingbo Qin, Pinyao Liang, Peng Gu, Xiaodong Liu   +9 more
doaj   +1 more source

Explainable Artificial Intelligence for Diabetes Diagnosis [PDF]

E3S Web of Conferences
Whether young, old, type 1, type 2, gestational, newly diagnosed, long-time sufferer, caretaker or loved one, millions of people are afflicted and affected by diabetes.
Lamri Mohamed, Sahour Abdelhakim, Boumehrez Farouk, Bekhouche Abdelaali   +3 more
doaj   +1 more source

Shap-MeD

CoRR
We present Shap-MeD, a text-to-3D object generative model specialized in the biomedical domain. The objective of this study is to develop an assistant that facilitates the 3D modeling of medical objects, thereby reducing development time. 3D modeling in medicine has various applications, including surgical procedure simulation and planning, the design ...
Nicolás Laverde, Melissa Robles, Johan Rodríguez   +2 more
openaire   +2 more sources

SHAP force plot.

, 2023
The contributing variables are arranged in the horizontal line, sorted by the absolute value of their impact. Blue represents features that have a negative effect on disease prediction, with a decrease in SHAP values; red represents features that have a ...
Yuan Liu (88411), Yi Guo (35817), Zhiqiang Tian (195085), Wei Shen (149127), Wenyi Du (8458209)   +4 more
core   +1 more source

Assessing the Impact of Expert Labelling of Training Data on the Quality of Automatic Classification of Lithological Groups Using Artificial Neural Networks

Applied Computer Systems, 2020
Machine learning (ML) methods are nowadays widely used to automate geophysical study. Some of ML algorithms are used to solve lithological classification problems during uranium mining process.
Kuchin Yan, Mukhamediev Ravil, Yakunin Kirill, Grundspenkis Janis, Symagulov Adilkhan   +4 more
doaj   +1 more source