Sentence examples for classification treat from inspiring English sources

Traditional approaches for video classification treat the entire video clip as one data instance.

We aimed to compare outcomes of septic-shock patients with severe acute kidney injury (stage 3 of KDIGO classification) treated with an early RRT strategy (all patients immediately received RRT) with those treated with a delayed RRT strategy (patients received late RRT or no RRT at all).

Whereas the RRMA classification treats these areas as being equal, the Index of Rural Access calculates a relatively uniform distribution of access scores within 'Other Rural' areas ranging between 1 1200 (equivalent to 0.000833) and much less than 1 3000 (0.000333).

All clinical studies that explored the differences in prognosis and/or recurrence of apparent early-stage ovarian tumors (stage I and stage II, according to the FIGO classification) treated with laparotomy versus laparoscopy were considered eligible for the analysis.

There were two goals: (1) compare group analyses based on aphasia types with multivariate analyses that sidestep classification and treat aphasic symptoms as continuous variables; (2) present correlation-based outlier analyses that can be used to identify individuals who occupy unusual positions in the multivariate "symptom space".

Conventional graph classification approaches treat side views and subgraph patterns separately and may only combine them at the final stage of training a classifier.

The Marshall classification was treated as an ordered variable, and the GCS was treated as continuous variables.

After off-line quantitative perfusion computed tomography classification: 253 treated patients and 83 untreated patients had 'target' mismatch, 56 treated and 31 untreated patients had a large ischaemic core, and 57 treated and 155 untreated patients had no target mismatch.

Endometriosis was staged according to the r-ASRM Classification and treated by resection and ablation of deep and superficial lesions, respectively.

Therefore, the present study focuses on effect of different process parameters like teeter water flow rate, set-point, feed rate and pulp density on particle classification while treating fine coal.

That means that the spam classification system treats comments more strictly than if we were friends.