Interview with Dr. Isaac Kohane on machine learning in medicine. (16:31)Download In this view of the future of medicine, patient–provider interactions are informed and supported by massive amounts of data from interactions with similar patients. These data are collected and curated to provide the latest evidence-based assessment and recommendations.
The work reported in this paper was supported by Grant 290439 and Grant 10630 from the Natural Sciences and Engineering Research Council of Canada to the first and third authors...
Prediction of species’ distributions is central to diverse applications in ecology, evolution and conservation science. There is increasing electronic access to vast sets of occ...
Transfer learning aims at improving the performance of target learners on target domains by transferring the knowledge contained in different but related source domains. In this...
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