Doctoral School of Food and Nutrition Science, Institute of Nutrition, University of Debrecen, Debrecen, Hungary.
Heim Pál National Paediatric Institute, Budapest, Hungary.
Sci Data. 2022 Sep 9;9(1):557. doi: 10.1038/s41597-022-01663-1.
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.
本研究描述了一个名为 MilkyBase 的数据库的开发，该数据库包含了人乳生化成分的数据。这些数据部分通过机器学习、部分通过手动从出版物中选择、数字化和整理。该数据库可用于根据母体、婴儿和测量条件查找牛奶成分中的模式，也可作为用户将自己的数据以此处所示格式输入的平台。该数据库是一个带有链接工作表的 Excel 工作簿，使得非计算型营养师可以轻松地输入数据。字段的层次结构组织确保可以编程统计推断方法来分析数据。不确定性量化和记录动态（时间相关）组成部分提供了预测潜力。
