Suchergebnisse - "Survival Analysis"

PubPharm (3.841)

1

Clinical risk prediction with random forests for survival, longitudinal, and multivariate (RF-SLAM) data analysis

enthalten in: BMC medical research methodology | 2019

von Wongvibulsin, S. | Wu, K. | Zeger, S.

2

Clinical risk prediction with random forests for survival, longitudinal, and multivariate (RF-SLAM) data analysis

enthalten in: BMC medical research methodology | 2019

von Wongvibulsin, S. | Wu, K. | Zeger, S.

3

Clinical risk prediction with random forests for survival, longitudinal, and multivariate (RF-SLAM) data analysis

enthalten in: BMC medical research methodology | 2019

von Wongvibulsin, S. | Wu, K. | Zeger, S.

4

An analysis about heterogeneity among cancers based on the DNA methylation patterns

enthalten in: BMC cancer | 2019

von Liu, Y. | Gu, Y. | Su, M. | +3

5

An analysis about heterogeneity among cancers based on the DNA methylation patterns

enthalten in: BMC cancer | 2019

von Liu, Y. | Gu, Y. | Su, M. | +3

6

An analysis about heterogeneity among cancers based on the DNA methylation patterns

enthalten in: BMC cancer | 2019

von Liu, Y. | Gu, Y. | Su, M. | +3

7

Precision Surgical Therapy for Adenocarcinoma of the Esophagus and Esophagogastric Junction

enthalten in: Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer | 2019

von Rice, T. | Lu, M. | Ishwaran, H. | +2

8

肺侵袭性真菌感染危重患者的生存分析 : = Survival analysis of critically ill patients with pulmonary invasive fungal infection

enthalten in: Xin jiang yi xue | 2019-12-25

China Academic Journals (CAJ), E, 医药卫生科技 = Medicine & Public Health

von 谷兴丽 | 于朝霞 | 张瑾 | +1

9

Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data

enthalten in: BMC medical genomics | 2019

von Hao, J. | Kim, Y. | Mallavarapu, T. | +2

10

Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data

enthalten in: BMC medical genomics | 2019

von Hao, J. | Kim, Y. | Mallavarapu, T. | +2

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