Results 211 to 220 of about 587,223 (263)

Research on predicting risk factors for re-bleeding in the acute phase of intracerebral hemorrhage using machine learning algorithms. [PDF]

Front Med (Lausanne)
Deng X, Xia J, Liang Z, Luo C.
europepmc   +1 more source

Development and validation of multivariable prognostic machine learning models to identify patients at risk for inadequate bowel preparation when undergoing colonoscopy: a prospective, multicentre study. [PDF]

BMJ Open Gastroenterol
Schramm C, Hehn C, Curth H, Scheller I, Weingaertner JH, Reichert MC, Kasper P, Bozal D, Allo G, Casper M, Adams T, Jochheim L, Zeller A, Rahe G, Zeeh J, Neumann-Haefelin C, Lammert F, Schmidt H, Friedrich CM, Buerger M.   +19 more
europepmc   +1 more source

Amyloidosis secondary to familial Mediterranean fever: machine learning-based prediction models. [PDF]

Rheumatology (Oxford)
Aktas B, Azman E, Oner YE, Kaya K, Yuksel HM, Hosgel A, Karahan KD, Coban ZB, Parlar K, Kilinc OC, Acar B, Ugurlu S.   +11 more
europepmc   +1 more source

Development of a CT-based comprehensive model with deep learning for differentiating pathological types of pulmonary ground-glass nodules. [PDF]

Front Med (Lausanne)
Zhang J, Liu B, Li J, Liu Y, Jiang J.
europepmc   +1 more source

Iontronics of nanofluidic conical pores: learning phenomena using voltage pulses.

Nanoscale
Portillo S, Cervera J, Manzanares JA, Bisquert J, Mafe S, Ramirez P.   +5 more
europepmc   +1 more source

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The History of DES, Lessons to be Learned

Pharmacy World & Science, 2005
Since the 1940s, diaethylstilbestrol (DES) has been used by millions of pregnant women to prevent miscarriages and many other disorders in pregnancy. In 1971, it became clear that this apparently innocent treatment proved to be a time bomb for the infants exposed to DES during the first trimester of pregnancy.
Veurink, M., Koster, M., de Jong-van den Berg, Lolkje Theodora Wilhelmina   +2 more
openaire   +2 more sources

Learning from History

2012
This chapter explores how university–community engagement has emerged in the indicators which governments and universities have adopted to try to measure universities’ societal activities. University–community engagement has often been subordinated to easier-to-measure activities such as graduate employment, spin-off companies created or number of ...
Jongbloed, Ben, Benneworth, Paul
openaire   +1 more source

History of Science or History of Learning

Berichte zur Wissenschaftsgeschichte, 2019
AbstractThis essay presents analogies between the development of historical writing and of physical science during the early modern period. Its necessarily spotty coverage runs from the mid sixteenth century to the beginning of the eighteenth. The analogies include arising from practical concerns; preferring material documents and experimental ...
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Learning in History

2020
At first glance, learning in history might be characterized as committing to memory sanctioned stories about the past. Yet a deeper consideration of this process opens up several questions about the specific features that make the generation of shared knowledge about the past possible and meaningful.
Liliana Maggioni, Emily Fox
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Learning History

2020
Abstract Chapter 8 completes the analytical framework by leaving administrators and educators to delve into the students’ world to trace their voices as the product of this system. The chapter examines the omnipresence of history beyond the history classroom, and it takes a broad view of the educational rationale that sought to mould a ...
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