Results 211 to 220 of about 11,307,335 (373)

Predictive and Causal Implications of using Shapley Value for Model Interpretation [PDF]

, 2020
Sisi Ma, Roshan Tourani
openalex   +1 more source

Machine learning‐based prediction of large‐for‐gestational‐age neonates in diabetic and non‐diabetic pregnancies

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study determines whether a machine‐learning model integrating sonographic biometry with maternal clinical parameters improves prediction of large‐for‐gestational‐age (LGA) compared with Hadlock's EFW formula. Methods We conducted a retrospective cohort study including all singleton live births at ≥32 gestational weeks at a ...
Ohad Houri, Asaf Romano, Asnat Walfisch, Eran Hadar, Yinon Gilboa, Leor Perl, Nadav Loebl, Ron Unger   +7 more
wiley   +1 more source

Fair investment strategies in large energy communities: A scalable Shapley value approach

Energy
R. A. Pedrero, P. Pisciella, P. C. del Granado   +2 more
semanticscholar   +1 more source

Construction and Validation of a Preoperative Surgical Difficulty Prediction and Risk Stratification System for Posterior Spinal Deformity Correction Surgery Based on Machine Learning ‐ Multicenter Cohort Study

iMetaMed, EarlyView.
A web calculator, trained on multicenter data with seven Boruta‐selected preoperative features, predicts prolonged operative time for posterior spinal deformity correction to enable individualized planning and optimized operating‐room resources. ABSTRACT Operative duration reflects surgical complexity and is valuable for perioperative planning.
Chan Xu, Jialiang Zheng, Chengliang Yin, Runmin Li, Xubin Quan, Binghao Chen, Zhaohui Hu, Tongqing Luo, Hao Jiang, Xuewen Hou, Qizhong Xu, Weiheng He, Liang Chen, Anfa Chen, Xin Zhou, Wei Huang, Sen Gao, Jiali Yu, Zhi‐Ri Tang, Yusi Zhang, Kai Wang, Shi‐Nan Wu, Wencai Liu, Xiangdong Xi, Haizhen Ding, Qiang Liu, Haopeng Luan, Wenle Li   +27 more
wiley   +1 more source

An application of the Shapley value to the analysis of co-expression networks. [PDF]

Appl Netw Sci, 2018
Cesari G, Algaba E, Moretti S, Nepomuceno JA.   +3 more
europepmc   +1 more source

Profit allocation method of construction bidding alliance based on uncertainty AHP and Shapley value

, 2012
Qiu Hui
openalex   +1 more source

SHADED: Shapley Value-Based Deceptive Evidence Detection in Belief Functions

Haifei Zhang
openalex   +2 more sources

A Feature Selection Method Based on Shapley Value to False Alarm Reduction in ICUs A Genetic-Algorithm Approach [PDF]

, 2018
Mohammad Zaeri-Amirani, Fatemeh Afghah, Sajad Mousavi   +2 more
openalex   +1 more source

Interpretable machine learning enables early and accurate detection of drug‐induced liver injury: A multicenter study with real‐world clinical translation

Interdisciplinary Medicine, EarlyView.
This study develops an interpretable gradient‐boosting model that accurately identifies drug‐induced liver injury (DILI) using routine laboratory data. The model explains key clinical features through SHapley Additive exPlanations analysis and detects DILI earlier than expert evaluation, offering a transparent and practical tool for precision ...
Jingyi Ling, Shian Zhang, Jun Lin, Zhengju Xu, Runcheng Xu, Qian Lv, Kaixiang Zhang, Sheng Liu, Jie Guo, Cheng Hua, Yin Jia, Xiaoyu Xu, Kun Qian, Shanrong Liu   +13 more
wiley   +1 more source

An Improved Shapley Value Method for a Green Supply Chain Income Distribution Mechanism. [PDF]

Int J Environ Res Public Health, 2018
Xu Z, Peng Z, Yang L, Chen X.
europepmc   +1 more source