Fan Yang

Orcid: 0000-0003-0717-5420

Affiliations:
  • Shandong University, Cheeloo College of Medicine, School of Public Health, Department of Epidemiology and Biostatistics, Jinan, China


According to our database1, Fan Yang authored at least 12 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Postoperative prognostic nomogram for adult grade II/III astrocytoma in the Chinese Han population.
Health Inf. Sci. Syst., December, 2023

Dynamic feature selection combining standard deviation and interaction information.
Int. J. Mach. Learn. Cybern., April, 2023

Kernelized Multitask Learning Method for Personalized Signaling Adverse Drug Reactions.
IEEE Trans. Knowl. Data Eng., 2023

Personalized prediction for multiple chronic diseases by developing the multi-task Cox learning model.
PLoS Comput. Biol., 2023

2022
Signaling repurposable drug combinations against COVID-19 by developing the heterogeneous deep herb-graph method.
Briefings Bioinform., 2022

StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies.
Briefings Bioinform., 2022

2021
Disease Prediction via Graph Neural Networks.
IEEE J. Biomed. Health Informatics, 2021

Knowledge Distillation In Medical Data Mining: A Survey.
Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

2020
Analysis of the global situation of COVID-19 research based on bibliometrics.
Health Inf. Sci. Syst., 2020

Predicting Adverse Drug-Drug Interactions via Semi-supervised Variational Autoencoders.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Minimal Path based Particle Tracking in Low SNR Fluorescence Microscopy Images.
Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 2019

2014
Signaling adverse drug reactions with novel feature-based similarity model.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014


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