RT @cochranemthds: A rule‐based approach for automatically extracting data from systematic reviews & their updates to model the risk of con…
むむ。
A rule‐based approach for automatically extracting data from systematic reviews & their updates to model the risk of conclusion change - Rabia Bashir, Adam G. Dunn, Didi Surian: https://t.co/qIbBb3CSeV
RT @cochranemthds: A rule‐based approach for automatically extracting data from systematic reviews and their updates to model the risk of c…
RT @cochranemthds: A rule‐based approach for automatically extracting data from systematic reviews and their updates to model the risk of c…
RT @cochranemthds: A rule‐based approach for automatically extracting data from systematic reviews and their updates to model the risk of c…
A rule‐based approach for automatically extracting data from systematic reviews and their updates to model the risk of conclusion change - Rabia Bashir, Adam G. Dunn, Didi Surian: https://t.co/a91Wmydfhk
RT @adamgdunn: Another article that came from Rabia's PhD work (which she won the Dean's Award for!), this time looking at modelling the ri…
@BOUTRON1 @dora_oikonomidi intéressant !
RT @adamgdunn: Another article that came from Rabia's PhD work (which she won the Dean's Award for!), this time looking at modelling the ri…
RT @adamgdunn: Another article that came from Rabia's PhD work (which she won the Dean's Award for!), this time looking at modelling the ri…
RT @adamgdunn: Another article that came from Rabia's PhD work (which she won the Dean's Award for!), this time looking at modelling the ri…
RT @adamgdunn: Another article that came from Rabia's PhD work (which she won the Dean's Award for!), this time looking at modelling the ri…
Another article that came from Rabia's PhD work (which she won the Dean's Award for!), this time looking at modelling the risk of conclusion change in systematic review updates based on factors that should be extractable from reviews and trial registries: