Sentence examples for classification causes from inspiring English sources

Exact(2)

The first section of the book is concerned with how local perceptions of the classification, causes and treatment of infectious disease shape responses to public health endeavors.

Following the Global Burden of Disease classification, causes were divided into three broad categories: communicable, maternal, perinatal, and nutritional conditions (group I); non-communicable diseases (group II); and group III which contained injuries (24).

Similar(58)

But the name, HTLV-3, placed it in the wrong category, and the incorrect classification caused confusion until the agent was correctly identified as H.I.V. Discoveries of AIDS and H.I.V. were greatly aided by newly developed laboratory tests.

We show in the last row of Figure 16 that as can be expected when using prior modeling, on certain occasions the MRF step can over-regularize the patch classification, causing the attribution of only one label to the whole image.

Meanwhile, due to the short length of the mature forms, false classification caused by convergent evolution is very likely to happen.

Starting with the PIR, the drop-outs might be explained by the large number of isolated acetabular and benign anterior pelvic ring fractures (type A according to the Tile/OTA classification) caused by low-energy trauma in the very elderly population [ 7, 10].

The accuracy of classification of causes of death in the cause of death registry and diagnoses in the national patient registry are high.

For the purpose of this paper, we adapted the 2006 Global Burden of Disease classification of causes of death as follows; communicable diseases, non communicable causes, and injuries [ 20].

It is important to note that obstructed labour is often a precursor to maternal deaths from haemorrhage and sepsis, and that classification of causes of maternal mortality is based on the proximate causes of death.

The system was based on the Bertillon Classification of Causes of Death, developed by French statistician and demographer Jacques Bertillon.

However, along with larger and larger use of icons, the previous classification criterion causes the boundary between categories blur.

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