The phrase "able to identify patterns" is correct and usable in written English.
You can use it when discussing someone's skills or capabilities, particularly in contexts related to analysis, problem-solving, or data interpretation.
Example: "As a data analyst, she is able to identify patterns in large datasets that others might overlook."
Alternatives: "capable of recognizing trends" or "skilled at detecting patterns."
You look at the different entities in a network — that's a graph of entities — and we're able to identify patterns within that.
By being able to identify patterns, it's able to create a posting schedule that refines itself in real-time, Levitt says.
With access to this information, doctors will be able to identify patterns in disease progression, learn which treatments are working across populations and provide better outcomes for patients with similar conditions.
While the deep learning algorithms are extremely powerful and are able to identify patterns in images that make them more or less memorable, it is rather challenging to look under the hood to identify the precise characteristics the algorithm is identifying.
PB was collected from C57Bl6 and BALB/c mice at 6 hours following 50 cGy, 200 cGy or 1000 cGy and we were able to identify patterns of gene expression which appeared to distinguish the different levels of radiation from the non-irradiated controls within each strain (Figure 3A).
We were able to identify patterns that suggest an association between treatment or program failure and multi-drug resistance.
In these cases, the lacunarity algorithm is able to identify pattern irregularity and textural changes that are not discernable with dermoscopic images.
From studying the seismic activity and the tectonics of the earthquakes, we are able to identify various patterns relating to the characteristics of seismic activity, focal mechanisms, rupture patterns, geometry of subduction zones, the types of overriding plates, and back-arc activity.
The fact that we are able to identify typical patterns of tweets for areas of high and low inward commuting also suggests that we can use these patterns to understand more about the appropriate time window to use for the typical working day.
By comparing computer-driven simulations with empirical observations of crowd movement, Helbing and his colleagues were able to identify several patterns of collective behavior that emerged from the interactions of individuals in the crowd.
Public-health officials and epidemiologists should be able to identify disease patterns in subpopulations and ethnic groups far more quickly than is currently possible.
