Sentence examples for construction of disease from inspiring English sources

Here, we focused on the construction of disease network between HCV and somatic mutations that led to cancer in different tissues.

The subcategory "cultural construction of disease" described the influence of local perception of illness on treatment-seeking behavior, whereas "program compatibility with healthcare expectations" described how met or unmet expectations of healthcare affected health provider choice.

Thus, pharmaceutical marketing can be detrimental to the health of women, by reinforcing gender stereotypes in the social construction of disease and thereby contributing to the generation of gender bias in health care (58– 60).

Also more advanced questions such as the construction of disease related gene networks, and subsequent calculation of keyword enrichment in this network can be addressed in an automatic way.

Due to the increasing global and fragmented context in which they work, physicians are partially dependent on the flow of information conveyed through advertising, which acts as a socialising agent and transmits messages that contribute to the social construction of disease (47).

These profiles play critical roles in a number of important topics, such as discovery of mode of drug action (8), drug-repurposing (9, 10), prediction of drug combinations (11) and construction of disease-drug network (12).

Moreover, some bacteria which are significantly associated with specific diseases were thought to be biomarkers for construction of a disease risk prediction model [ 8, 18].

Finally, a post hoc analysis studied associations of urogenital schistosomiasis infection and active trachoma disease with demographic and environmental variables; such results should inform the construction of reliable disease maps [ 19] and mathematical modeling efforts of these two NTDs.

The network mining showed advantages on both the construction of the disease network and the inference of molecular mechanisms underlying the linkage between diseases.

However, construction of the disease similarity network in previous studies are limited since they mostly based on an out-of-date disease similarity matrix, which was constructed using text mining algorithms on OMIM records.

Therefore, we recommend the use of the k-NN strategy in the construction of the disease similarity network.