Liying Song

ORCID: 0000-0002-7058-6583
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Biomedical Text Mining and Ontologies
  • Bioinformatics and Genomic Networks
  • Genomics and Rare Diseases
  • Biomedical and Engineering Education
  • AI in cancer detection
  • Gene expression and cancer classification
  • Nursing education and management
  • Nursing Diagnosis and Documentation
  • Healthcare Technology and Patient Monitoring
  • Medical Research and Treatments
  • Patient Satisfaction in Healthcare

Zhejiang University
2014-2018

Aim To investigate nursing work patterns in a neurology department Chinese hospital. Background Knowledge of is important for management and design, the evaluation organizational process change associated with introduction an innovation. Methods A time-and-motion method was used to observe 14 registered nurses' (RNs') Results There were 147 hr observation. Overall, most time-consuming activities verbal communication (28.5%) documentation (28.3%), followed by indirect care (14.6%) direct...

10.1111/jonm.12682 article EN Journal of Nursing Management 2018-09-17

In recent years, a growing number of researchers began to focus on how establish associations between clinical and genomic data. However, up now, there is lack research mining clinic-genomic by comprehensively analysing available gene expression data for single disease. Colorectal cancer one the malignant tumours. A genetic syndromes have been proven be associated with colorectal cancer. This paper presents our under biomedical big environment. The proposed method engineered multiple...

10.1155/2014/170289 article EN cc-by BioMed Research International 2014-01-01

Nowadays, a growing number of researchers devote themselves to re-excavation existing biomedical knowledge discovery, focusing on how establish associations between clinical and genomic data. However, quantitative analysis is still inadequate for particular disease. Colorectal cancer the one malignant tumors whose molecular mechanism relatively clear, making it more appropriate object study. This paper proposed measurement clinic-genomic colorectal based Google Distance, using MEDLINE...

10.1109/bmei.2014.7002870 article EN 2014-10-01

Cancer, a disease which has been serious threaten to people's health, is of great concern scientists. But the study on it not made substantial progress attributed its multi-factor incidents. Specimen information in tissue, as one important data sources translational research, plays an indispensable role promoting diagnosis and treatment cancer. With advent era "big data", becomes extremely significant associate clinical with basic research manage bio-specimen efficaciously, so that some...

10.1109/bmei.2014.7002878 article EN 2014-10-01
Coming Soon ...