Predicting futility of upfront surgery in perihilar cholangiocarcinoma: Machine learning analytics model to optimize treatment allocation

Ratti, Francesca; Marino, Rebecca; Olthof, Pim B.; Pratschke, Johann; Erdmann, Joris I.; Neumann, Ulf P.; Prasad, Raj; Jarnagin, William R.; Schnitzbauer, Andreas A.; Cescon, Matteo; Guglielmi, Alfredo; Lang, Hauke; Nadalin, Silvio; Topal, Baki; Maithel, Shishir K.; Hoogwater, Frederik J. H.; Alikhanov, Ruslan; Troisi, Roberto; Sparrelid, Ernesto; Roberts, Keith J.; Malago, Massimo; Hagendoorn, Jeroen; Malik, Hassan Z.; Damink, Steven W. M. Olde; Kazemier, Geert; Schadde, Erik; Charco, Ramon; de Reuver, Philip R.; Koerkamp, Bas Groot; Aldrighetti, Luca

Predicting futility of upfront surgery in perihilar cholangiocarcinoma: Machine learning analytics model to optimize treatment allocation

Autor(en):

Ratti, Francesca; Marino, Rebecca; Olthof, Pim B.; Pratschke, Johann; Erdmann, Joris I.; Neumann, Ulf P.; Prasad, Raj; Jarnagin, William R.; Schnitzbauer, Andreas A.; Cescon, Matteo; Guglielmi, Alfredo; Lang, Hauke; Nadalin, Silvio; Topal, Baki; Maithel, Shishir K.; Hoogwater, Frederik J. H.; Alikhanov, Ruslan; Troisi, Roberto; Sparrelid, Ernesto; Roberts, Keith J.; Malago, Massimo; Hagendoorn, Jeroen; Malik, Hassan Z.; Damink, Steven W. M. Olde; Kazemier, Geert; Schadde, Erik; Charco, Ramon; de Reuver, Philip R.; Koerkamp, Bas Groot; Aldrighetti, Luca

Tübinger Autor(en):

Nadalin, Silvio

Erschienen in:

Hepatology (2024), Bd. 79, H. 2, S. 341-354

Verlagsangabe:

Philadelphia : Lippincott Williams & Wilkins

Sprache:

Englisch

Referenz zum Volltext:

http://dx.doi.org/10.1097/HEP.0000000000000554

ISSN:

0270-9139