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Machine Learning approaches will have an ever-increasing influence on how the research and modeling of volcanoes are undertaken, how they are monitored, and how their danger is assessed.
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In this visualization of a serious illness conversation, each vertical bar represents a speaker turn, and the height of each bar is proportional to the length of the turn, with patient turns in red and clinician turns in blue. The alternating short-long pattern in turn length that dominates these conversations is apparent, and CODYM analysis helps assess patterns, revealing insights about information flow in conversation. (Image courtesy of L. Clarfeld, UVM)
Vermont Business Magazine Conversations between seriously ill people, their families and palliative care specialists lead to better quality-of-life. Understanding what happens during these conversations - and particularly how they vary by cultural, clinical, and situational contexts - is essential to guide healthcare communication improvement efforts. To gain true understanding, new methods to study conversations in large, inclusive, and multi-site epidemiological studies are required. A new computer mode