Results 1 to 10 of about 29,456 (261)
Pairwise acquisition prediction with SHAP value interpretation
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
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Comments on “Machine learning and SHAP value interpretation for predicting comorbidity of cardiovascular disease and cancer with dietary antioxidants” [PDF]
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
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C-SHAP: A Hybrid Method for Fast and Efficient Interpretability
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
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
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
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
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Machine Learning and SHAP Value Interpretation for Predicting Hepatic Steatosis Using Vibration-Controlled Transient Elastography [PDF]
Zhenyan Lu +6 more
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Explainable Anomaly Detection Framework for Maritime Main Engine Sensor Data
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]
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
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
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