FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2951934944> ?p ?o ?g. }

• W2951934944 endingPage "20170387" @default.
• W2951934944 startingPage "20170387" @default.
• W2951934944 abstract "Deep learning describes a class of machine learning algorithms that are capable of combining raw inputs into layers of intermediate features. These algorithms have recently shown impressive results across a variety of domains. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood. Hence, deep learning techniques may be particularly well suited to solve problems of these fields. We examine applications of deep learning to a variety of biomedical problems—patient classification, fundamental biological processes and treatment of patients—and discuss whether deep learning will be able to transform these tasks or if the biomedical sphere poses unique challenges. Following from an extensive literature review, we find that deep learning has yet to revolutionize biomedicine or definitively resolve any of the most pressing challenges in the field, but promising advances have been made on the prior state of the art. Even though improvements over previous baselines have been modest in general, the recent progress indicates that deep learning methods will provide valuable means for speeding up or aiding human investigation. Though progress has been made linking a specific neural network's prediction to input features, understanding how users should interpret these models to make testable hypotheses about the system under study remains an open challenge. Furthermore, the limited amount of labelled data for training presents problems in some domains, as do legal and privacy constraints on work with sensitive health records. Nonetheless, we foresee deep learning enabling changes at both bench and bedside with the potential to transform several areas of biology and medicine." @default.
• W2951934944 created "2019-06-27" @default.
• W2951934944 creator A5000426279 @default.
• W2951934944 creator A5006457481 @default.
• W2951934944 creator A5007543032 @default.
• W2951934944 creator A5011633717 @default.
• W2951934944 creator A5012408661 @default.
• W2951934944 creator A5015923227 @default.
• W2951934944 creator A5016503379 @default.
• W2951934944 creator A5016924409 @default.
• W2951934944 creator A5018254174 @default.
• W2951934944 creator A5019398608 @default.
• W2951934944 creator A5023224900 @default.
• W2951934944 creator A5023428054 @default.
• W2951934944 creator A5028955021 @default.
• W2951934944 creator A5034362700 @default.
• W2951934944 creator A5037563245 @default.
• W2951934944 creator A5042450383 @default.
• W2951934944 creator A5043633648 @default.
• W2951934944 creator A5046415728 @default.
• W2951934944 creator A5047137990 @default.
• W2951934944 creator A5050017394 @default.
• W2951934944 creator A5052473265 @default.
• W2951934944 creator A5053034507 @default.
• W2951934944 creator A5053507165 @default.
• W2951934944 creator A5056922384 @default.
• W2951934944 creator A5058539331 @default.
• W2951934944 creator A5059223958 @default.
• W2951934944 creator A5066189518 @default.
• W2951934944 creator A5068931679 @default.
• W2951934944 creator A5070541983 @default.
• W2951934944 creator A5071517081 @default.
• W2951934944 creator A5076931011 @default.
• W2951934944 creator A5083081872 @default.
• W2951934944 creator A5083286341 @default.
• W2951934944 creator A5085113833 @default.
• W2951934944 creator A5086058776 @default.
• W2951934944 creator A5086610385 @default.
• W2951934944 date "2018-04-01" @default.
• W2951934944 modified "2023-10-15" @default.
• W2951934944 title "Opportunities and obstacles for deep learning in biology and medicine" @default.
• W2951934944 cites W1019830208 @default.
• W2951934944 cites W1123205372 @default.
• W2951934944 cites W115293911 @default.
• W2951934944 cites W1501213224 @default.
• W2951934944 cites W1501531009 @default.
• W2951934944 cites W1568929544 @default.
• W2951934944 cites W1571486030 @default.
• W2951934944 cites W1596947964 @default.
• W2951934944 cites W1605960500 @default.
• W2951934944 cites W1663154925 @default.
• W2951934944 cites W1768175145 @default.
• W2951934944 cites W1787224781 @default.
• W2951934944 cites W1808652302 @default.
• W2951934944 cites W1811186957 @default.
• W2951934944 cites W1870686808 @default.
• W2951934944 cites W1871050032 @default.
• W2951934944 cites W1901129140 @default.
• W2951934944 cites W1901338075 @default.
• W2951934944 cites W1908704137 @default.
• W2951934944 cites W1915485278 @default.
• W2951934944 cites W1932198206 @default.
• W2951934944 cites W1967292572 @default.
• W2951934944 cites W1968569455 @default.
• W2951934944 cites W1972311676 @default.
• W2951934944 cites W1973825638 @default.
• W2951934944 cites W1973974137 @default.
• W2951934944 cites W1976526581 @default.
• W2951934944 cites W1976937534 @default.
• W2951934944 cites W1977855308 @default.
• W2951934944 cites W1979762151 @default.
• W2951934944 cites W1981622697 @default.
• W2951934944 cites W1982295411 @default.
• W2951934944 cites W1988037271 @default.
• W2951934944 cites W1988581590 @default.
• W2951934944 cites W1988622308 @default.
• W2951934944 cites W1989338936 @default.
• W2951934944 cites W1993046136 @default.
• W2951934944 cites W1995196655 @default.
• W2951934944 cites W1995341919 @default.
• W2951934944 cites W1996864720 @default.
• W2951934944 cites W1997512351 @default.
• W2951934944 cites W1999798000 @default.
• W2951934944 cites W2001502878 @default.
• W2951934944 cites W2001923477 @default.
• W2951934944 cites W2004910511 @default.
• W2951934944 cites W2006566482 @default.
• W2951934944 cites W2008490358 @default.
• W2951934944 cites W2009215736 @default.
• W2951934944 cites W2009588715 @default.
• W2951934944 cites W2009605433 @default.
• W2951934944 cites W2009792683 @default.
• W2951934944 cites W2010700988 @default.
• W2951934944 cites W2011582941 @default.
• W2951934944 cites W2012301002 @default.
• W2951934944 cites W2013868665 @default.
• W2951934944 cites W2015907087 @default.
• W2951934944 cites W2020274161 @default.

• next