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Open source machine learning tools as good as humans in detecting cancer cases

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  • Open source machine learning tools as good as humans in detecting cancer cases

    Machine learning has come of age in public health reporting according to researchers from the Regenstrief Institute and Indiana University School of Informatics and Computing at Indiana University-Purdue University Indianapolis. They have found that existing algorithms and open source machine learning tools were as good as, or better than, human reviewers in detecting cancer cases using data from free-text pathology reports. The computerized approach was also faster and less resource intensive in comparison to human counterparts.

  • Machine learning can help detect presence of cancer, improve public health reporting

    To support public health reporting, the use of computers and machine learning can better help with access to unstructured clinical data--including in cancer case detection, according to a recent study.

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