A set of clinical guidelines is needed to conduct surveillance following CAR-T therapy among patients with relapsed or refractory multiple myeloma. A set of clinical guidelines is needed to conduct ...

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...

The recent developments in quantum technology have opened up new opportunities for machine learning algorithms to assist the healthcare industry in diagnosing complex health disorders, such as heart ...

This code is meant to foster an in-depth understanding of the Decision Tree Algorithm used in Machine Learning. No ML algorithms like Scikit-learn, PyTorch or TensorFlow has been used. This is ...

Suppose a bank wants to build a credit scoring model to decide whether to approve or deny a loan application based on several factors such as income, credit score, debt-to-income ratio, and employment ...

Decision tree regression is a machine learning technique used for predictive modeling. It’s a variation of decision trees, which are primarily used for classification. In decision tree regression, the ...

Parkinson's Disease (PD) is the second most common age-related neurological disorder that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its symptoms are quite ...

Graph databases enable efficient storage of heterogeneous, highly-interlinked data, such as clinical data. Subsequently, researchers can extract relevant features from these datasets and apply machine ...

Abstract: Human state estimation is an important technical tool in the field of elderly mobility assistance. In order to further improve the accuracy of human state recognition, a CART decision tree ...

Abstract: Machine learning has been a hot topic in artificial intelligence for quite a few good reasons. In the future, the world’s information would be too massive for us to process. Therefore, it ...