Sentence examples for performance disease from inspiring English sources
In this article, a design for validation of a standard quantitative instrument to be commonly employed for diagnosis of patient function/activity, performance, disease signs and symptoms, and disease status and severity based on Chinese diagnostic practice is proposed.
Our findings, if confirmed, indicate that disease burden in patients with PD and VP, such as poor motor performance, disease severity, and urinary dysfunction, is associated with plasma Hcy and CRP levels.
Information feedback: High-functioning immunization programs provide regular feedback reports to all levels of the health system, summarizing program outputs, cold chain performance, disease trends, and outbreak control activities.
A group of world experts in the field of genomics, exercise, sport performance, disease, injury and antidoping gathered with the International Federation of Sports Medicine (FIMS) Scientific Commission for a symposium to discuss the current state of knowledge and to share ideas.
However, high-performance disease phenotype discrimination remains a challenge in translational bioinformatics due to special characteristics of serum proteomics data, in addition to its well-known data reproducibility issue, which means that no two independent studies have been found to produce same proteomic patterns [ 3- 5].
On the other hand, by leveraging the complementary information embedded in the multimodality representation, better performance on disease diagnosis can be expected.
In fact, the automatic NER and normalization performance for disease and chemicals are approaching human IAAs (F-score in the 80 and 90s, respectively).
Our experimental results demonstrate that multi-modal data effectively improves the performance in disease status identification and clinical scores prediction as compared to one single modality.
To evaluate the performance of disease biomarkers (physiological MRI, urine, serum and synovial biochemical markers).
Associations with emotional processing, neuropsychological test performance and disease outcome were studied.
Many technological solutions have been developed to improve the performance of disease surveillance systems [ 7, 8].
