Method/system for managing experimental data, computer readable storage medium, and device

A system for managing experimental data, comprising:

• a recording module, configured to record the experimental data, and preprocess the experimental data, to obtain at least two preprocessed experimental arrays;
• and
• a processing module, configured to select one element from each of two selected preprocessed experimental arrays according to an analysis requirement, and combine the elements to establish a cyclic experimental database, the cyclic experimental database comprises a plurality of combination data;
• and perform cyclic statistical analysis on the combination data in the cyclic experimental database, to obtain a cyclic statistical result corresponding to retrieved combination data, wherein the processing module is a central processing unit;
• and
• an output module, configured to
• output, in a form of a two-dimensional numerical matrix, the cyclic statistical result obtained after the cyclic statistical analysis;
• discretize matrix elements in the two-dimensional numerical matrix, and dividing the matrix elements according to pre-divided statistical ranges;
• and
• assign different colors or different grayscale values to the divided statistical ranges, so that the cyclic statistical result is output visually;
• wherein a process of recording the experimental data and preprocessing the experimental data comprises:
• classifying the recorded experimental data according to attribute classes of the experimental data, the attribute classes comprises baseline indicators, evaluation indicators, intervention methods or groups, and time;
• stratifying the classified experimental data respectively;
• and
• grouping stratified experimental data of other classes based on one of the attribute classes, to obtain at least two preprocessed experimental arrays.

A non-transitory computer readable storage medium, storing a computer program, wherein when the program is executed by a processor, a method for managing experimental data is implemented, the method comprises:

• recording the experimental data, and preprocessing the experimental data, to obtain at least two preprocessed experimental arrays;
• wherein recording the experimental data and preprocessing the experimental data comprises:
• classifying the recorded experimental data according to attribute classes of the experimental data, the attribute classes comprises baseline indicators, evaluation indicators, intervention methods or groups, and time;
• stratifying the classified experimental data respectively;
• and
• grouping stratified experimental data of other classes based on one of the attribute classes, to obtain at least two preprocessed experimental arrays;
• selecting one element from each of two selected preprocessed experimental arrays according to an analysis requirement, and combining the elements to establish a cyclic experimental database, wherein the cyclic experimental database comprises a plurality of combination data meeting the analysis requirement;
• performing cyclic statistical analysis on the combination data in the cyclic experimental database, to obtain a cyclic statistical result corresponding to retrieved combination data;
• and
• outputting the cyclic statistical result in a specified manner, comprising:
• outputting, in a form of a two-dimensional numerical matrix, the cyclic statistical result obtained after the cyclic statistical analysis;
• discretizing matrix elements the two-dimensional numerical matrix, and dividing the matrix elements according to pre-divided statistical ranges;
• and
• assigning different colors or different grayscale values to the divided statistical ranges, so that the cyclic statistical result is output visually.