Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Blanca Villanueva
Characterizing Subgroups of High-Need, High-Cost Patients Based on Their Clinical Conditions: A Machine Learning-Based Analysis of Medicaid Claims Data
Journal of General Internal Medicine
Internal Medicine
Related publications
Development of Medical Cost Prediction Model Based on Statistical Machine Learning Using Health Insurance Claims Data
Value in Health
Medicine
Health Policy
Public Health
Occupational Health
Environmental
A Machine Learning Approach on Classifying Orthopedic Patients Based on Their Biomechanical Features
Subgroups of High-Cost Medicare Advantage Patients: An Observational Study
Journal of General Internal Medicine
Internal Medicine
A Machine Learning Method for High-Frequency Data Forecasting
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Drivers of High-Cost Medical Complexity in a Medicaid Population
Medical Care
Environmental
Public Health
Occupational Health
The Effect of Principal Component Analysis on Machine Learning Accuracy With High Dimensional Spectral Data
Machine Learning Paradigm Towards Content Based Image Retrieval on High Resolution Satellite Images
International Journal of Innovative Technology and Exploring Engineering
Mechanics of Materials
Electronic Engineering
Civil
Structural Engineering
Electrical
Computer Science
Machine Learning for High Throughput HRTEM Analysis
Microscopy and Microanalysis
Instrumentation
A Research on High Availability Mechanism of Virtual Machine Based on Ceph
