The Machine Learning and Healthcare Patent Dataset is a comprehensive collection of patent records related to the intersection of machine learning and healthcare innovations. The dataset was collated from Google Patents using the search query "machine learning and healthcare" and includes patents granted in various fields such as medical imaging, diagnostic tools, AI-driven treatment recommendations, etc.

The dataset is designed to extract actionable insights using natural language processing (NLP), technical analysis, and AI applications. Its structured format provides a solid foundation for analyzing patent trends, conducting patentability checks, and exploring innovations in the healthcare field.

Components of the dataset

This dataset contains detailed patent information divided into key sections suitable for various analytical use cases. Here are some of the fields:

• Patent ID: A unique identifier for each patent.
• Title: A brief summary of the patent's innovation or scope.
• Assignee: The organization or individual that owns the patent.
• Priority Date: The date of the first application that establishes the novelty of a patent.
• Publication Date: The date on which the patent is officially published.
• Abstract: A high-level summary describing the core innovation of the patent.
• Claims: Detailed statements that define the scope and technical uniqueness of a patent.
• Description: A comprehensive understanding of the technical and functional aspects of the patent.
• Result Link: The direct URL to the patent record on Google Patents.