Into Enkulu Elandelayo ye-Erasmus MC - I-AI Ekhiqizwe Idatha Yokwenziwa

Ngesikhathi I-Erasmus MC, esinye sezibhedlela ezihamba phambili, kungenzeka ukucela idatha yokwenziwa eyenziwe yi-Syntho's Injini ye-Syntho. The I-Smart Health Tech Centre (SHTC) – Erasmus MC uhlele ukukhahlela okusemthethweni ngoLwesine olwedlule zingama-30 kuNdasa, lapho URobert Veen (Research Suite) kanye UWim Kees Janssen (Syntho ) uphendule imibuzo: 'Iyini idatha yokwenziwa?','Kungani senza lokhu?'futhi 'Kusebenza kanjani lokhu ku-Erasmus MC?'.

Iyini i-AI Generated Synthetic Data?

Idatha yangempela iqoqwa ngokuthola ulwazi mayelana neziguli zangempela, abasebenzi kanye nezinqubo zebhizinisi zangaphakathi. Idatha yokwenziwa, ngakolunye uhlangothi, ikhiqizwa i-algorithm edala amaphuzu edatha amasha ngokuphelele nangelona iqiniso, lapho abantu bengasekho.

Umehluko obalulekile ukusetshenziswa kobuhlakani bokwenziwa ukulingisa nokukhiqiza kabusha izici, amaphethini kanye nezakhiwo zedatha yangempela kudatha yokwenziwa.

Umphumela: Idatha Yokwenziwa Ye-AI enembe njengedatha yangempela. Ngakho-ke, ingasetshenziselwa ukuhlaziya njengokungathi idatha yangempela.

Kungakho u-Syntho eyibiza ngokuthi “I-Synthetic Data Twin”: idatha ithi njengoba-kuhle-njengokwangempela, kodwa ingasetshenziswa ngaphandle kwezinselele zobumfihlo.

Kungani senza lokhu?

Vula idatha futhi wehlise "Isikhathi-kuya-kwidatha"

Ngokusebenzisa idatha yokwenziwa esikhundleni sedatha yangempela, thina njengenhlangano singanciphisa ukuhlola ubungozi kanye nezinqubo ezihambisanayo ezidla isikhathi. Kusivumela ukuthi sivule amasethi edatha engeziwe. Futhi singaqinisekisa ukuthi izicelo zokufinyelela idatha zingasheshiswa ukuze sehlise “isikhathi siye kudatha”. Ngalokhu, u-Erasmus MC wakha isisekelo esiqinile sokusheshisa ukusungulwa okusha okuqhutshwa yidatha.

Idatha emele izinjongo zokuhlola

Ukuhlolwa nokuthuthukiswa ngedatha yokuhlola emele kubalulekile ukuze kulethwe izixazululo zobuchwepheshe besimanje. Iwele ledatha yokwenziwa esekelwe kudatha yokukhiqiza iphumela kudatha engasetshenziswa njenge idatha yokuhlola. Umphumela: idatha efana nokukhiqiza, privacy by design kusixazululo esisebenza kalula, esisheshayo futhi esingaka. Ukwengeza, ngokusebenzisa ngobuhlakani i-AI ekhiqizayo ekudaleni idatha yokwenziwa, kungenzeka futhi ukuthi kunwetshwe futhi kulingise amasethi edatha. Lokhu kungaba yisixazululo, isibonelo, uma kunedatha enganele (ukushoda kwedatha) noma uma ufuna ukukhulisa isampula yamacala.

Izibalo ezine-AI Ekhiqizwayo Yedatha Yokwenziwa

I-AI isetshenziswa ukwenza imodeli yedatha yokwenziwa ngendlela yokuthi amaphethini ezibalo, ubudlelwano nezici zilondolozwe ngendlela yokuthi ize isetshenziselwe ukuhlaziya. Ikakhulukazi esigabeni sokuthuthukiswa kwamamodeli, sizoncamela ukusetshenziswa kwedatha yokwenziwa futhi sihlale sibekela abasebenzisi idatha inselelo: “kungani usebenzise idatha yangempela kuyilapho ungasebenzisa futhi idatha yokwenziwa”?

Ngabe lokhu kusebenza kanjani kwa-Erasmus MC?

Ingabe uyafuna ukusebenzisa idathasethi yokwenziwa? Noma ufuna ukuthola ulwazi olwengeziwe mayelana namathuba? Sicela uxhumane ne Research Suite ka-Erasmus MC.

Unentshisekelo kudatha yokwenziwa ye-AI futhi uyafuna ukujula ngamathuba? Xhumana nochwepheshe bethu or cela i-demo.