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Dec 17 2020

Fujitsu Develops Technology to Discover Characteristic Causal Relationships of Individual Data

Fujitsu Laboratories, Ltd. has successfully developed a technology that uses AI to discover the characteristic cause-and-effect relationships in various pieces of data relating to people and things in a variety of fields, with possible applications in medicine, marketing, manufacturing, and more.

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The technology specifically addresses the need to isolate and identify characteristics from data in different real-world scenarios. In the medical field, for example, it is necessary to identify the characteristic genes that affect the development of cancer in individual patients. In the field of marketing, sales representatives need to find the characteristic factors that lead individual customers to make a purchase. Fujitsu has developed a technology to discover the characteristic causality of individual pieces of data by quickly extracting all the groups of data that have a common correlation from an entire dataset, and evaluating the causality of each group of data to find the characteristic causality. In a recent trial demonstration, Fujitsu applied the technology to the gene expression data of colorectal cancer patients, estimating the characteristic causal relationship that appears in the data of each patient. Fujitsu's researchers succeeded in rediscovering the gene of interest in the colorectal cancer classification, offering a key to the development of a treatment plan individualized for each patient. In addition to medical care and marketing, this technology enables use cases including customer credit scoring in finance and identification of the cause of product defects in manufacturing.

 

In the case of cancer treatment in the medical field, many cancer patients have been identified by the expression of unique genes that affect the disease state of cancer. In order to devise an appropriate treatment plan for individual patients, therefore, doctors must identify genes that are unique to each cancer patient, not genes that are common to all cancer patients. In the case of promotions in marketing, each customer within a larger group has a distinctive characteristic that leads to their purchase, and in order to plan appropriate outreach for individual customers, it becomes necessary to identify a characteristic, motivational cause for each customer, not a cause common to all customers. In this way, there has been a need for new techniques for estimating the characteristic cause-and-effect relationship of each piece of data to solve many real problems.

 

Fujitsu has succeeded in developing a new cause-and-effect search technology that can discover the characteristic cause-and-effect relationships of individual data items. The features of the developed technology are:

  • Technique for extracting all groups of data with similar correlation;
  • Technique for extracting all groups of data with characteristic causality.

 

To find out more, please take a look at Fujitsu’s press release.

 

 

Nuno Costa

 

About the Author:

Nuno Costa

Senior Channel Business Development Associate

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