Results 241 to 250 of about 67,939 (291)

Survival Prediction in Patients With Bladder Cancer Undergoing Radical Cystectomy Using a Machine Learning Algorithm: Retrospective Single-Center Study. [PDF]

JMIR Perioper Med
Causio FA, De Vita V, Nappi A, Sawaya M, Rocco B, Foschi N, Maioriello G, Russo P.   +7 more
europepmc   +1 more source

Multiparametric MRI-based radiomics of whole-tumor and habitat regions for predicting HER2 status in young breast cancer: a two-center study. [PDF]

Front Oncol
Jiang X, Zhu D, Luo X, Fang S, Song N, Yu Q, Huang S, Wang S.   +7 more
europepmc   +1 more source

Machine learning model identifies tibial anatomical variables as potential risk factors for anterior cruciate ligament injury. [PDF]

Knee Surg Sports Traumatol Arthrosc
Kao CH, Hashemi J, Slauterbeck J, Chandrashekar N.   +3 more
europepmc   +1 more source

Development of a Practical Nomogram for Depression Risk Stratification in Older Adults With Hypertension and Diabetes: Retrospective Analysis of Data From the China Health and Retirement Longitudinal Study.

JMIR Med Inform
Peng T, Zhang Y, Miao R, Wang J.
europepmc   +1 more source

The Utilization, Application, and Impact of Institutional Special Needs Plans (I-SNPs) in Nursing Facilities: A Rapid Review. [PDF]

Healthcare (Basel)
Mileski M, Shapley R, Beauvais B, Topinka JB, Shanmugam R, Betancourt JA, Brooks M, McClay R.   +7 more
europepmc   +1 more source

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study.

J Med Internet Res
Faysal JA, Lo-Ciganic W, Gellad WF, Wu Y, Harle CA, Nguyen K, Huang JL, Cochran G, Wilson DL, Staras SA, Schmidt SO, Rosenberg EI, Nelson D, Yan S, Reisfield GM, Greene WM, Kuza C, Hasan MM.   +17 more
europepmc   +1 more source

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Consistent Restricted Shapley Values

Mathematical Social Sciences, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Derks, J., Peters, H.
openaire   +1 more source

The Shapley Value

2003
The Shapley value, introduced in the fifties (Cf. Shapley (1953)), is one of the most interesting solution concepts in cooperative game theory which has drawn much attention. See for example A. Roth (1988). The Shapley value associates to each n-person game one (payoff) vector in ℝ n .
Bezalel Peleg, Peter Sudhölter
  +4 more sources

On the Aumann–Shapley value [PDF]

Positivity, 2008
This paper generalizes Theorem A in [\textit{R. J. Aumann} and \textit{L. S. Shapley}, Values of non-atomic games. Princeton, N. J.: Princeton University Press (1974; Zbl 0311.90084), p. 20], where the underlying space is an algebra of subsets isomorphic to \(([0,1], \mathcal{B})\), \(\mathcal{B}\) the Borel sets.
A. Basile, COSTANTINI, Camillo, P. Vitolo   +2 more
openaire   +4 more sources

The Shapley-value

2018
The value introduced by Shapley is still one of the most popular solution concepts for cooperative games. As a well-defined, always nonempty solution, it is an attractive solution that is supported by a fine axiomatisation and is a model that has also been implemented.
openaire   +2 more sources