Results 81 to 90 of about 44,463 (307)
Reviews in Cardiovascular MedicineBackground: Heart failure (HF) and malnutrition frequently coexist in older patients (≥65 years) and are major determinants of in-hospital mortality.
Yiming Chen +4 more
doaj +1 more source
Computing SHAP Efficiently Using Model Structure Information
, 2023 SHAP (SHapley Additive exPlanations) has become a popular method to attribute the prediction of a machine learning model on an input to its features. One main challenge of SHAP is the computation time.
Wang, Ke, Hu, Linwei
core
Advanced Science, EarlyView.A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei +7 more
wiley +1 more source
Jurnal Teknologi Informasi dan Ilmu KomputerMeningkatnya popularitas game indie di pasar game mewajibkan para pengembang game indie bersaing untuk membuat game nya diminati oleh para pengguna dengan berbagai cara agar dapat meningkatkan potensi popularitasnya.
Mohammad Teddy Syamkalla +2 more
doaj +1 more source
Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy
Advanced Science, EarlyView.MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang +11 more
wiley +1 more source
Explainable AI-driven intelligent system for precision forecasting in cardiovascular disease
Frontiers in MedicineIntroductionCardiovascular diseases (CVDs) are complex and affect a large part of the world’s population; early accurate and timely prediction is also complicated.
Anas Bilal +5 more
doaj +1 more source
Characteristic summary of SHAP values.
(a) Average SHAP values (b) SHAP values for each sample.
Xue Liu (420033) +2 more
core +1 more source
, 2023 Each point represents each observation, the red line represents a trend line. X-axis is the covariate of interest, Cholesterol (mg/day). The SHAP value represents the log-odds for heart disease. (TIF)
Samuel Y. Huang (14670660) +1 more
core +1 more source
Advanced Science, EarlyView.An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
Towards Refined Classifications Driven by SHAP Explanations [PDF]
, 2022 peer reviewedMachine Learning (ML) models are inherently approximate; as a result, the predictions of an ML model can be wrong. In applications where errors can jeopardize a company's reputation, human experts often have to manually check the alarms ...
VEIBER, Lisa +8 more
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