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"recognition of diseases" is a correct and usable phrase in written English.
It can be used when discussing the process of identifying and classifying illnesses or medical conditions. Example: Early recognition of diseases is crucial for effective treatment and prevention.
Exact(5)
Observation and classification made possible the more precise recognition of diseases.
In a previous study by Kang et al. [51] dictionary-based recognition of diseases in scientific abstracts was improved by employing NLP techniques, including NP chunking.
Another explanation could be that on farms of different sizes the recognition of diseases differs.
Existing methods, usually using machine learning techniques such as conditional random fields, address recognition of diseases (32, 33) and genes, e.g. the GENIA (34) or ABNER (35) systems.
Generally, comparing notification rates of IDs can be challenging because of differences in surveillance systems, populations and country-specific infection probabilities as well as changes over time in notification and diagnostic testing policies, healthcare seeking behaviour or better clinical recognition of diseases among older adults [ 20], which could mask changes in incidences.
Similar(54)
In addition to help early recognition of disease, our findings suggest different pathophysiologic mechanisms.
Since diagnostic delays represent a life-threatening danger, early recognition of disease is important for effective treatment and good prognosis.
Widespread recognition of disease-specific risk profiles coupled with targeted therapeutic efforts among MAs may hold value for preventing the development of CV disease in this population.
The present pictorial review of the CMR features will illustrate RV anatomy and its range of various pathological conditions, thus leading to a more prompt recognition of disease.
The most important prognostic factors are stage and histology; however, increasing recognition of disease heterogeneity has led to recent exploration of underlying molecular mechanisms.
Substantial amount of time is lost due to non recognition of disease and subsequently, inadequate treatment.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com