IDEAL is a multicenter prospective, randomized, open-label, blinded, end point classification study.
The DBSCAN algorithm was developed to solve the spatial point classification problem without consideration of their temporal sequence.
Initially believed to be related to the Plainview point classification, the new type was termed "Plainview Golondrina" by Johnson, who used a genus-species approach for the naming.
Inter-observer agreement on point classification (tumour, stroma etc).
All end points were classified by an independent end point classification committee whose members were unaware of study group assignments.
Methods A 13 point classification system for missing outcome data on harm was developed and applied to the studies.
With the nonblinded design, differential ascertainment is possible; however, end point classification was conducted by a blinded, independent committee that was unaware of the group assignments.
Two physicians from the MESA study events committee independently reviewed all medical records for end point classification and assignment of incidence dates.
One classification proposed in 2008 by a workshop of experts convened at the International Agency for Research into Cancer, suggested a 5 point classification scheme following a parallel system to that used in reporting cytology or radiology results [ 8].
