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- W4295024114 abstract "This study describes the development of a database, called MilkyBase, of the biochemical composition of human milk. The data were selected, digitized and curated partly by machine-learning, partly manually from publications. The database can be used to find patterns in the milk composition as a function of maternal-, infant- and measurement conditions and as a platform for users to put their own data in the format shown here. The database is an Excel workbook of linked sheets, making it easy to input data by non-computationally minded nutritionists. The hierarchical organisation of the fields makes sure that statistical inference methods can be programmed to analyse the data. Uncertainty quantification and recording dynamic (time-dependent) compositions offer predictive potentials." @default.
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- W4295024114 date "2022-09-09" @default.
- W4295024114 modified "2023-10-16" @default.
- W4295024114 title "MilkyBase, a database of human milk composition as a function of maternal-, infant- and measurement conditions" @default.
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- W4295024114 doi "https://doi.org/10.1038/s41597-022-01663-1" @default.
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