Indiana University School of Informatics and Computing
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Open Source Machine Learning Tools are as Good as Humans' in Cancer Surveillance According to Regenstrief, Indiana Univ. Study
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.
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OpenMRS & OpenEMR Community Members Join Forces - Announce LibreHealth
Senior contributors and leaders from OpenMRS & OpenEMR, the two leading open source Health IT platforms, have announced the formation of LibreHealth, a new initiative to expand on many years of work by those communities’ volunteers through increased focused on needs of its users in critical areas. After many years of growth under the sponsorship of organizations OEMR & OpenMRS Inc., key members of the two communities have joined forces to launch a successor free & open source software community to fulfill their vision of improved health outcomes around the world.