Machine Learning in Healthcare
Machine Learning in Healthcare is a topic indexed in ScholarIQ from OpenAlex.
What is known about Machine Learning in Healthcare?
This cluster of papers focuses on the application of deep learning techniques in healthcare, particularly in the analysis of electronic health records (EHR). The papers cover a wide range of topics including predictive modeling, patient similarity, disease risk prediction, medical concept embedding, and temporal data analysis. The goal is to leverage deep learning to improve healthcare decision-making and enable precision medicine.
How many works does Machine Learning in Healthcare have?
Machine Learning in Healthcare has 45,314 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Machine Learning in Healthcare have?
Machine Learning in Healthcare has 339,485 citations in the OpenAlex counts ScholarIQ stores.
What is the OpenAlex record for Machine Learning in Healthcare?
The OpenAlex for Machine Learning in Healthcare is on the source record.