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Found 6 papers, 4 papers with code
More efficient manual review of automatically transcribed tabular data
We allocated those 90, 000 codes to human reviewers, who used our annotation tool to review the codes.
What is the state of the art? Accounting for multiplicity in machine learning benchmark performance
In this article, we provide a probability distribution for the case of multiple classifiers so that known analyses methods can be engaged and a better SOTA estimate can be provided.
Lessons learned developing and using a machine learning model to automatically transcribe 2.3 million handwritten occupation codes
We believe our approach and lessons learned may be useful for other transcription projects that plan to use machine learning in production.
Interactive exploration of population scale pharmacoepidemiology datasets
We have therefore created a tool for interactive exploration of patterns in prescription datasets with millions of samples.
Convolutional neural network for breathing phase detection in lung sounds
We evaluated the performance of the method using two methods.
Feature Extraction for Machine Learning Based Crackle Detection in Lung Sounds from a Health Survey
We propose a machine learning based approach for detecting crackles in lung sounds recorded using a stethoscope in a large health survey.
