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Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records.

MacRae J, Darlow B, McBain L, Jones O, Stubbe M, Turner N, Dowell A - BMJ Open (2015)

Bottom Line: Each consultation record within these sets was independently classified by two expert clinicians as respiratory or non-respiratory, and subclassified according to respiratory diagnostic categories to create three 'gold standard' sets of classified records.Sensitivity, specificity, positive predictive value and F-measure were calculated to illustrate the algorithm's ability to replicate judgements of expert clinicians within the 1200 record gold standard validation set.The methodology can also be applied to other areas of clinical care.

View Article: PubMed Central - PubMed

Affiliation: Patients First, Wellington, New Zealand.

No MeSH data available.


Related in: MedlinePlus

Demographic characteristics of the funded population, the Normal Hours cohort and children enrolled in the practices that were included in the validation set (set 3).
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BMJOPEN2015008160F3: Demographic characteristics of the funded population, the Normal Hours cohort and children enrolled in the practices that were included in the validation set (set 3).

Mentions: The demographic characteristics of the children enrolled in practices included in the validation set (set 3) were broadly comparable with children in all practices included in the Normal Hours cohort (figure 3).


Accessing primary care Big Data: the development of a software algorithm to explore the rich content of consultation records.

MacRae J, Darlow B, McBain L, Jones O, Stubbe M, Turner N, Dowell A - BMJ Open (2015)

Demographic characteristics of the funded population, the Normal Hours cohort and children enrolled in the practices that were included in the validation set (set 3).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4550741&req=5

BMJOPEN2015008160F3: Demographic characteristics of the funded population, the Normal Hours cohort and children enrolled in the practices that were included in the validation set (set 3).
Mentions: The demographic characteristics of the children enrolled in practices included in the validation set (set 3) were broadly comparable with children in all practices included in the Normal Hours cohort (figure 3).

Bottom Line: Each consultation record within these sets was independently classified by two expert clinicians as respiratory or non-respiratory, and subclassified according to respiratory diagnostic categories to create three 'gold standard' sets of classified records.Sensitivity, specificity, positive predictive value and F-measure were calculated to illustrate the algorithm's ability to replicate judgements of expert clinicians within the 1200 record gold standard validation set.The methodology can also be applied to other areas of clinical care.

View Article: PubMed Central - PubMed

Affiliation: Patients First, Wellington, New Zealand.

No MeSH data available.


Related in: MedlinePlus