AI for health: the impossible necessity of unbiased data
Explores the critical challenge of bias in health AI data, why unbiased data is impossible, and the ethical implications for medical algorithms.
Explores the critical challenge of bias in health AI data, why unbiased data is impossible, and the ethical implications for medical algorithms.
A data scientist's 2020 review, focusing on machine learning projects for healthcare, including mining COVID-19 EHR data and brain signal analysis.
A case study on building and deploying a machine learning system for hospital bill estimation, reducing prediction errors by over 50%.
A PHP implementation for extracting custom XML data from OpenXML Word documents in a healthcare data processing scenario.