نتائج البحث

An evaluation of sample size requirements for developing risk prediction models with binary outcomes.

• Authors : Pavlou, Menelaos¹ (AUTHOR) ; Ambler, Gareth¹ (AUTHOR); Qu, Chen¹ (AUTHOR)

• Source: BMC Medical Research Methodology. 7/10/2024, Vol. 24 Issue 1, p1-13. 13p.

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Clinical prediction models and the multiverse of madness.

• Authors : Riley, Richard D.^1,2 (AUTHOR) ; Pate, Alexander³ (AUTHOR); Dhiman, Paula⁴ (AUTHOR)

• Source: BMC Medicine. 12/18/2023, Vol. 21 Issue 1, p1-9. 9p.

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Development and Validation of Two-Step Prediction Models for Postoperative Bedridden Status in Geriatric Intertrochanteric Hip Fractures.

• Authors : Dissaneewate, Kantapon^1,2 (AUTHOR) ; Dissaneewate, Pornpanit¹ (AUTHOR) ; Orapiriyakul, Wich¹ (AUTHOR)

• Source: Diagnostics (2075-4418). Apr2024, Vol. 14 Issue 8, p804. 16p.

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Interval Type-3 Fuzzy Aggregation for Hybrid-Hierarchical Neural Classification and Prediction Models in Decision-Making.

• Authors : Ramírez, Martha¹ (AUTHOR) ; Melin, Patricia¹ (AUTHOR); Castillo, Oscar¹ (AUTHOR)

• Source: Axioms (2075-1680). Oct2023, Vol. 12 Issue 10, p906. 21p.

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Development and validation of novel interpretable survival prediction models based on drug exposures for severe heart failure during vulnerable period.

• Authors : Guo, Yu^1,2,3 (AUTHOR); Yu, Fang¹ (AUTHOR); Jiang, Fang-Fang^1,2 (AUTHOR)

• Source: Journal of Translational Medicine. 8/6/2024, Vol. 22 Issue 1, p1-10. 10p.

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Comparison of the application value of two prediction models in the prediction of post-stroke fatigue risk in stroke patients.

• Authors : YANG Jin-pan¹; MA Qiu-ping¹; LIU Yu-jun¹

• Source: Modern Preventive Medicine. Apr2024, Vol. 51 Issue 7, p1161-1165. 5p.

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Decision curve analysis confirms higher clinical utility of multi-domain versus single-domain prediction models in patients with open abdomen treatment for peritonitis.

• Authors : Huber, Markus¹ (AUTHOR) ; Schober, Patrick² (AUTHOR); Petersen, Sven³ (AUTHOR)

• Source: BMC Medical Informatics & Decision Making. 4/6/2023, Vol. 23 Issue 1, p1-12. 12p.

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Prognosticating the outcome of intensive care in older patients—a narrative review.

• Authors : Beil, Michael¹; Moreno, Rui^2,3,4; Fronczek, Jakub⁵

• Source: Annals of Intensive Care. 6/22/2024, Vol. 14 Issue 1, p1-12. 12p.

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Machine learning-based prediction models for accidental hypothermia patients.

• Authors : Okada, Yohei^1,2,3 (AUTHOR) ; Matsuyama, Tasuku⁴ (AUTHOR); Morita, Sachiko⁵ (AUTHOR)

• Source: Journal of Intensive Care. 1/9/2021, Vol. 9 Issue 1, p1-11. 11p.

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The uncertainty with using risk prediction models for individual decision making: an exemplar cohort study examining the prediction of cardiovascular disease in English primary care.

• Authors : Pate A; Centre of Health eResearch, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK. .; Emsley R

Subjects: Decision Making* ; Decision Support Techniques* ; Precision Medicine*/Precision Medicine*/Precision Medicine*/methods

• Source: BMC medicine [BMC Med] 2019 Jul 17; Vol. 17 (1), pp. 134. Date of Electronic Publication: 2019 Jul 17.Publisher: BioMed Central Country of Publication: England NLM ID: 101190723 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7015

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