Sentence examples for assessed on predicted from inspiring English sources

Suggestions(1)

The phrase "assessed on predicted" is not correct in standard written English.
It seems to be an incomplete expression and lacks clarity without additional context.
Example: "Students will be assessed on predicted outcomes based on their previous performance."
Alternatives: "evaluated based on forecasts" or "judged according to predictions."

Exact(1)

Therefore, a scientifically sound medium-term approach (e.g., 40 years), and associated adaptive management cycles, requires the effects of location and climate be assessed on predicted future states of forests as well as on the present stand structure.

Similar(59)

In these patients, intratumoral budding assessed on pretherapeutic biopsies predicted poor pathological response to neoadjuvant treatment and poor prognosis.

Once the design is completed, a list of amplicons (short regions of DNA covering the full target region) is visualized and their quality is assessed on the basis of the predicted amplicon score provided by DS.

We have identified nine new sequence variants and using bioinformatics tools, have assessed their predicted effect on MSMB gene expression/regulation.

The performance of the mapping algorithm is assessed on its ability to accurately predict the observed mean EQ-5D value, minimise the mean absolute error where the error is generated using the difference between predicted and observed EQ-5D values, both for the entire sample and across the severity range [ 14].

As recently reported by Molinari et al (2009), our observation confirms that primary CRC and paired metastasis may exhibit a difference with respect to the EGFR pathway; therefore, the analysis of metastatic sites should be considered, given that PTEN assessed on primary tumour might incompletely predict the response.

To provide a complementary and functionally oriented analysis of divergence, we assessed the predicted impact of substitutions on TF-binding affinity in our data set of ∼4.7 million noncoding blocks within 5 kb of a human gene.

Our findings corroborate previous research indicating that older age, social environment, and functional status assessed on admission are key factors to predict discharge destination after an acute hospital stay [ 21, 22, 24- 27].

Overall accuracy for predicted SIC stocks was assessed on training samples.

The predicted structural models were assessed on 55 domains of the 42 targets.

The performance of the Charlson and Elixhauser measures in predicting poor outcomes has been assessed on various large populations [ 4- 11].

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