├── main.py # Main pipeline orchestrator ├── FeatureExtractor/ # Feature extractor package │ ├── __init__.py # Package exports │ ├── base.py # Abstract base class & enum │ ├── count_vectorizer.py # ...

Objective: To study the occurrence of lymph node metastasis in patients with papillary thyroid carcinoma (PTC) and construct a predictive model to assess its predictive performance. Methods: We ...

This project demonstrates a complete pipeline for building a binary classifier using Logistic Regression on the Breast Cancer Wisconsin dataset.

In the era of big data and artificial intelligence, machine learning is one of the hot issues in the field of credit rating. On the basis of combing the literature on credit rating methods at home and ...

Abstract: The paper bases on the theory of deep learning, uses the Scikit-learn machine learning framework and logistic regression algorithm, combines with supervised machine learning. Through Fourier ...

ABSTRACT: Over the past ten years, there has been an increase in cardiovascular disease, one of the most dangerous types of disease. However, cardiovascular detection is a technique that analyzes data ...

Introduction: Sequencing and phylogenetic classification have become a common task in human and animal diagnostic laboratories. It is routine to sequence pathogens to identify genetic variations of ...