Decoupling and predicting natural gas deviation factor using machine learning methods
Basic datasetThe foundational Z-factor data for developing the machine learning models were sourced from gas wells of the Jurassic Shaximiao...
Methods
Multi-metric comparison of machine learning imputation methods with application to breast cancer survival | BMC Medical Research Methodology
Motivating example: breast cancer case studyTo apply our most effective method to a real-world situation, we used data from a...
The Impact of Extent and Variety in Active Learning Methods Across Online and Face-to-Face Education on Students’ AssessmentCourse Evaluations
ORIGINAL RESEARCH article Front. Educ. Sec. Higher Education Volume 9 - 2024 | doi: 10.3389/feduc.2024.1432054 This article is part of...
A comparative analysis of classical and machine learning methods for forecasting TB/HIV co-infection
This study aimed to explore prediction models for the incidence of TB/HIV coinfection, estimating the epidemic trend of cases from...
Going virtual: mixed methods evaluation of online versus in-person learning in the NIH mixed methods research training program retreat | BMC Medical Education
ParticipantsFive cohorts with a total of 73 scholars participated in the MMRTP in person (2015–2019), while four cohorts with a...
Deep learning methods for drug response prediction in cancer: Predominant and emerging trends
1. Introduction Cancer treatment response prediction is a problem of great importance for both clinical and pharmacological research communities. Many...
