Results 1 to 10 of about 29,456 (261)

Pairwise acquisition prediction with SHAP value interpretation

open access: yesJournal of Finance and Data Science, 2021
Predicting future pairs of the acquirer and acquiree companies is important for acquisition or investment strategy. This prediction is a challenging problem due to the following requirements: to incorporate various non-financial factors and to address ...
Katsuya Futagami   +3 more
doaj   +3 more sources

Comments on “Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants” [PDF]

open access: yesRedox Biology
Cardiovascular disease (CVD) and cancer are leading causes of death worldwide, and the comorbid risk between these conditions has become an important area of public health research.
Yuwen ShangGuan   +4 more
doaj   +2 more sources

C-SHAP: A Hybrid Method for Fast and Efficient Interpretability

open access: yesApplied Sciences (Switzerland)
Model interpretability is essential in machine learning, particularly for applications in critical fields like healthcare, where understanding model decisions is paramount.
Diego Reforgiato Recupero   +2 more
exaly   +3 more sources

PREDICTING DIABETES MELLITUS USING CATBOOST CLASSIFIER AND SHAPLEY ADDITIVE EXPLANATION (SHAP) APPROACH

open access: yesBarekeng, 2022
Diabetes mellitus as a metabolic disease characterized by hyperglycemia can be dangerous if it cannot be handled properly. Early detection of existing symptoms can reduce the impact of delays in treatment.
Novia Permatasari   +3 more
doaj   +1 more source

Using Machine Learning to Predict the In-Hospital Mortality in Women with ST-Segment Elevation Myocardial Infarction

open access: yesReviews in Cardiovascular Medicine, 2023
Background: Several studies have shown that women have a higher mortality rate than do men from ST-segment elevation myocardial infarction (STEMI). The present study was aimed at developing a new risk-prediction model for all-cause in-hospital mortality ...
Pengyu Zhao   +7 more
doaj   +1 more source

Prediction of Cardiovascular Disease Based on Voting Ensemble Model and SHAP Analysis

open access: yesSakarya University Journal of Computer and Information Sciences, 2023
Cardiovascular Diseases (CVD) or heart diseases cardiovascular diseases lead the list of fatal diseases. However, the treatment of this disease involves a time-consuming process.
Erkan Akkur
doaj   +1 more source

Machine Learning and SHAP Value Interpretation for Predicting Hepatic Steatosis Using Vibration-Controlled Transient Elastography [PDF]

open access: yesInternational Journal of Endocrinology
Zhenyan Lu   +6 more
doaj   +2 more sources

Explainable Anomaly Detection Framework for Maritime Main Engine Sensor Data

open access: yesSensors, 2021
In this study, we proposed a data-driven approach to the condition monitoring of the marine engine. Although several unsupervised methods in the maritime industry have existed, the common limitation was the interpretation of the anomaly; they do not ...
Donghyun Kim   +4 more
doaj   +1 more source

Integrating XGBoost and SHAP Model for Football Player Value Prediction and Characteristic Analysis [PDF]

open access: yesJisuanji kexue, 2022
With the increasing globalization of football,the global player transfer market is becoming more and more prosperous.However,as the most important factor affecting player transfer transaction,the player’s transfer value lacks in-depth model and ...
LIAO Bin, WANG Zhi-ning, LI Min, SUN Rui-na
doaj   +1 more source

Estimation of gross calorific value based on coal analysis using an explainable artificial intelligence

open access: yesMachine Learning with Applications, 2021
Developing fuel resources is strategically crucial for Armenia. Far more than any other fossil fuel resource, coal roughly generates half the nation’s electricity.
Saeed Chehreh Chelgani
doaj   +1 more source

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