Hakutulokset - Andaur Navarro, Constanza L

Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques Tekijä Andaur Navarro, Constanza L, Damen, Johanna A A G, Takada, Toshihiko, Nijman, Steven W J, Dhiman, Paula, Ma, Jie, Collins, Gary S, Bajpai, Ram, Riley, Richard D, Moons, Karel GM, Hooft, Lotty

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Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review Tekijä Andaur Navarro, Constanza L, Damen, Johanna A A, Takada, Toshihiko, Nijman, Steven W J, Dhiman, Paula, Ma, Jie, Collins, Gary S, Bajpai, Ram, Riley, Richard D, Moons, Karel G M, Hooft, Lotty

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Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review Tekijä Andaur Navarro, Constanza L., Damen, Johanna A. A., Takada, Toshihiko, Nijman, Steven W. J., Dhiman, Paula, Ma, Jie, Collins, Gary S., Bajpai, Ram, Riley, Richard D., Moons, Karel G. M., Hooft, Lotty

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Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review Tekijä Dhiman, Paula, Ma, Jie, Andaur Navarro, Constanza L., Speich, Benjamin, Bullock, Garrett, Damen, Johanna A. A., Hooft, Lotty, Kirtley, Shona, Riley, Richard D., Van Calster, Ben, Moons, Karel G. M., Collins, Gary S.

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Risk of bias of prognostic models developed using machine learning: a systematic review in oncology Tekijä Dhiman, Paula, Ma, Jie, Andaur Navarro, Constanza L., Speich, Benjamin, Bullock, Garrett, Damen, Johanna A. A., Hooft, Lotty, Kirtley, Shona, Riley, Richard D., Van Calster, Ben, Moons, Karel G. M., Collins, Gary S.

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Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intellig... Tekijä Collins, Gary S, Dhiman, Paula, Andaur Navarro, Constanza L, Ma, Jie, Hooft, Lotty, Reitsma, Johannes B, Logullo, Patricia, Beam, Andrew L, Peng, Lily, Van Calster, Ben, van Smeden, Maarten, Riley, Richard D, Moons, Karel GM

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Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal Tekijä Wynants, Laure, Van Calster, Ben, Collins, Gary S, Riley, Richard D, Heinze, Georg, Schuit, Ewoud, Bonten, Marc M J, Damen, Johanna A A, Debray, Thomas P A, De Vos, Maarten, Dhiman, Paula, Haller, Maria C, Harhay, Michael O, Henckaerts, Liesbet, Kreuzberger, Nina, Lohmann, Anna, Luijken, Kim, Ma, Jie, Andaur Navarro, Constanza L, Reitsma, Johannes B, Sergeant, Jamie C, Shi, Chunhu, Skoetz, Nicole, Smits, Luc J M, Snell, Kym I E, Sperrin, Matthew, Spijker, René, Steyerberg, Ewout W, Takada, Toshihiko, van Kuijk, Sander M J, van Royen, Florien S, Wallisch, Christine, Hooft, Lotty, Moons, Karel G M, van Smeden, Maarten

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