IBM (NYSE:IBM) Watson Health, and other machine-learning company's immediate impact on healthcare may have been significantly overhyped, promoting a timeline that it may not be able to reach, according to a new article from MIT's Technology Review. The fault lies not with the company, however, but the complexity and relative unavailability of data that it and others machine-learning systems needs to "learn," according to the article. Machine learning processes require constant adjustments to internal processing routines to produce the highest possible percentage of correct answers to a set of problems, according to the article. This process works well with cases where it's easy to identify problems or solutions, such as malignancies in X-rays, but becomes exponentially har...
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Ιατρική Αλέξανδρος Γ. Σφακιανάκης,Αναπαύσεως 5 Άγιος Νικόλαος 72100 Κρήτη 00302841026182 Medical Articles by Alexandros G.Sfakianakis PhD,Anapafseos 5 Agios Nikolaos 72100 Crete Greece 00306932607174
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Τετάρτη 28 Ιουνίου 2017
MIT Report: IBM Watson, machine-learning plays “ overhyped ”
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