Fujitsu Kozuchi Causal AI Interactive Demo

We will introduce analysis and exploration using Fujitsu Causal AI using demo data from health management.

Fujitsu Kozuchi Causal AI
Interactive Demo Video

Fujitsu Kozuchi

Health check evaluation
Stomach examination
0.039 (60.00%)
Glucose metabolism examination
Smoking
-0.323 (100.00%)
Salary level
Liver function examination
0.079 (100.00%)
Lower back pain
0.097 (100.00%)
Chest examination
Lipid evaluation
Gross profit
General blood test
-0.077 (100.00%)
Eyesight/Visual acuity
0.156 (100.00%)
Workload
0.184 (100.00%)
Cost of sales
0.730 (100.00%)
0.114 (100.00%)
Manager
0.125 (100.00%)
Sales revenue
0.125 (100.00%)
Urine test
-0.135 (100.00%)
Uric acid
0.105 (100.00%)
FJLEVEL
-0.119 (100.00%)
Presenteeism
0.100 (100.00%)
Working satisfaction
0.187 (100.00%)
Psychological stress response
0.058 (100.00%)
Engagement
0.129 (100.00%)
Job control level
0.177 (100.00%)
Work/Life satisfaction
-0.061 (100.00%)
0.211 (100.00%)
High-stress rate
-0.121 (100.00%)
Overtime hours
-0.115 (100.00%)
Physical measurement
0.264 (100.00%)
Manager support
0.141 (100.00%)
Life satisfaction
0.092 (100.00%)
Blood pressure
0.194 (100.00%)
0.176 (100.00%)
0.126 (100.00%)
0.099 (100.00%)
0.234 (100.00%)
0.019 (60.00%)
Systolic blood pressure
BMI
Metabolic syndrome rate
0.177 (100.00%)
-0.170 (100.00%)
Health guidance level
-0.134 (100.00%)
0.219 (100.00%)
0.132 (100.00%)
-0.235 (100.00%)
-0.330 (100.00%)
-0.185 (100.00%)
0.398 (100.00%)
0.244 (100.00%)
-0.185 (100.00%)
0.173 (100.00%)
-0.158 (100.00%)
-0.232 (100.00%)
-0.127 (100.00%)
-0.165 (100.00%)
-0.279 (100.00%)
0.091 (100.00%)
-0.217 (100.00%)
0.099 (100.00%)
0.178 (100.00%)
-0.421 (100.00%)
-0.286 (100.00%)
-0.161 (100.00%)
Time on health management
0.097 (100.00%)
Age
-0.384 (100.00%)
Absenteeism
-0.125 (100.00%)
0.168 (100.00%)
0.637 (100.00%)
-0.613 (100.00%)
0.494 (100.00%)
Hearing ability
0.479 (100.00%)
0.162 (100.00%)
0.222 (100.00%)
Electrocardiogram test
Renal function
0.037 (60.00%)
0.155 (100.00%)
0.301 (100.00%)
Information judgment ability
Serum protein
-0.209 (100.00%)
-0.166 (100.00%)
0.185 (100.00%)
0.169 (100.00%)
Flextime system application rate
-0.081 (100.00%)
-0.170 (100.00%)
0.150 (100.00%)
0.178 (100.00%)
-0.531 (100.00%)
0.236 (100.00%)
Colleague support
Resignation
-0.457 (100.00%)
0.147 (100.00%)
0.549 (100.00%)
-0.149 (100.00%)
Paid leave acquisition rate
FBS (Fasting Blood Sugar)
-0.077 (100.00%)
0.049 (80.00%)
In-office attendance rate
Discretionary labor system application rate
0.735 (100.00%)
-0.472 (100.00%)
0.175 (100.00%)
0.319 (100.00%)
0.224 (100.00%)
-0.252 (100.00%)
0.139 (100.00%)
-0.171 (100.00%)
-0.128 (100.00%)
0.238 (100.00%)
0.256 (100.00%)
-0.256 (100.00%)
-0.196 (100.00%)
-0.141 (100.00%)
0.214 (100.00%)
-0.263 (100.00%)
Internal medicine examination
Information communication ability
Information gathering ability
Information selection ability
Decision-making ability
Absence/Leave due to other illnesses
-0.243 (100.00%)
-0.119 (100.00%)
Diastolic blood pressure
0.174 (100.00%)
e-learning participation rate
Health literacy
Breakfast
-0.218 (100.00%)
-0.132 (100.00%)
-0.553 (100.00%)
0.329 (100.00%)
0.320 (100.00%)
-0.223 (100.00%)
0.154 (100.00%)
-0.273 (100.00%)
-0.350 (100.00%)
0.101 (100.00%)
-0.179 (100.00%)
Fecal occult blood test
Waist circumference
Death after resignation
Arukatsu participation rate
Bedtime
Exercise frequency
Drinking habit

Causal Action Optimization

Reset

Uploading User Data

User data selection

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Limit 200MB per file • CSV
Browse files
health_productivity_mgmt_demo.csv
12.3MB

[Preview] User Data:

Causal Discovery (Analysis of Causal Relationships)
Prior Knowledge Setting
causal paths
Select a variable, or leave blank for a full graph summary
→
Select a variable, or leave blank for a full graph summary

－

＋

no direct causal relations
Select a variable, or leave blank for a full graph summary
↛
Select a variable, or leave blank for a full graph summary

－

＋

origin variables
Select a variable, or leave blank for a full graph summary
sink variables
Select a variable, or leave blank for a full graph summary

Generate reference information with LLM

Prior Knowledge Statement
Setting for Causal Discovery

Causal Discovery Algorithm

Basic (LayeredLiNGAM)

Enumeration Options

Basic_Fast (Bootstrap)

Calculation mode

Super Light

Execute

Threshold of Weight

Download Graph Files

Causal Graph
Select variables (explains the entire graph if empty)

Explain Causal Discovery Results

Action Optimization
Parameter Setting

Suggest constraints with LLM

Constraint Support

Trade-off Parameter

0
0
100

Lagrange Multiplier

0
0
100

Health check evaluation

0.00
-1.74
1.75

Action

-

Penalty

-

Target

threshold

Glucose metabolism examination

0.00
-3.03
2.97

Action

-

Penalty

-

Target

threshold

Salary level

0.00
-1.73
1.72

Action

-

Penalty

-

Target

threshold

Liver function examination

0.00
-1.72
1.73

Action

-

Penalty

-

Target

threshold

Stomach examination

0.00
-2.48
2.33

Action

-

Penalty

-

Target

threshold

Chest examination

0.00
-1.75
1.73

Action

-

Penalty

-

Target

threshold

Lipid evaluation

0.00
-1.73
1.71

Action

-

Penalty

-

Target

threshold

Gross profit

0.00
-1.73
1.73

Action

-

Penalty

-

Target

threshold

Blood pressure

0.00
-1.74
1.72

Action

-

Penalty

-

Target

threshold

General blood test

0.00
-2.12
2.18

Action

-

Penalty

-

Target

threshold

Eyesight/Visual acuity

0.00
-1.96
1.96

Action

-

Penalty

-

Target

threshold

Systolic blood pressure

0.00
-1.72
1.75

Action

-

Penalty

-

Target

threshold

BMI

0.00
-1.74
1.74

Action

-

Penalty

-

Target

threshold

Metabolic syndrome rate

0.00
-1.73
1.73

Action

-

Penalty

-

Target

threshold

Workload

0.00
-3.22
2.78

Action

-

Penalty

-

Target

threshold

Health guidance level

0.00
-1.72
1.72

Action

-

Penalty

-

Target

threshold

Cost of sales

0.00
-2.39
2.40

Action

-

Penalty

-

Target

threshold

Age

0.00
-1.72
1.73

Action

-

Penalty

-

Target

threshold

Smoking

0.00
-2.57
2.52

Action

-

Penalty

-

Target

threshold

Absenteeism

0.00
-1.75
1.72

Action

-

Penalty

-

Target

threshold

Manager

0.00
-2.12
2.13

Action

-

Penalty

-

Target

threshold

Hearing ability

0.00
-1.75
1.72

Action

-

Penalty

-

Target

threshold

Sales revenue

0.00
-3.64
3.15

Action

-

Penalty

-

Target

threshold

Urine test

0.00
-2.15
2.21

Action

-

Penalty

-

Target

threshold

Electrocardiogram test

0.00
-1.75
1.72

Action

-

Penalty

-

Target

threshold

Renal function

0.00
-1.74
1.72

Action

-

Penalty

-

Target

threshold

Uric acid

0.00
-2.09
2.21

Action

-

Penalty

-

Target

threshold

Information judgment ability

0.00
-1.74
1.72

Action

-

Penalty

-

Target

threshold

Serum protein

0.00
-1.75
1.72

Action

-

Penalty

-

Target

threshold

FJLEVEL

0.00
-2.68
2.63

Action

-

Penalty

-

Target

threshold

Flextime system application rate

0.00
-1.73
1.71

Action

-

Penalty

-

Target

threshold

Presenteeism

0.00
-1.94
1.89

Action

-

Penalty

-

Target

threshold

Working satisfaction

0.00
-3.35
3.19

Action

-

Penalty

-

Target

threshold

Colleague support

0.00
-1.73
1.74

Action

-

Penalty

-

Target

threshold

Paid leave acquisition rate

0.00
-1.74
1.71

Action

-

Penalty

-

Target

threshold

FBS (Fasting Blood Sugar)

0.00
-1.74
1.75

Action

-

Penalty

-

Target

threshold

Resignation

0.00
-3.05
2.95

Action

-

Penalty

-

Target

threshold

In-office attendance rate

0.00
-1.72
1.73

Action

-

Penalty

-

Target

threshold

Discretionary labor system application rate

0.00
-1.72
1.75

Action

-

Penalty

-

Target

threshold

Psychological stress response

0.00
-3.45
3.60

Action

-

Penalty

-

Target

threshold

Engagement

0.00
-3.19
3.04

Action

-

Penalty

-

Target

threshold

Job control level

0.00
-2.97
3.13

Action

-

Penalty

-

Target

threshold

Work/Life satisfaction

0.00
-3.44
3.33

Action

-

Penalty

-

Target

threshold

Lower back pain

0.00
-2.92
3.09

Action

-

Penalty

-

Target

threshold

High-stress rate

0.00
-3.44
3.54

Action

-

Penalty

-

Target

threshold

Internal medicine examination

0.00
-1.72
1.74

Action

-

Penalty

-

Target

threshold

Information communication ability

0.00
-1.72
1.73

Action

-

Penalty

-

Target

threshold

Information gathering ability

0.00
-1.73
1.74

Action

-

Penalty

-

Target

threshold

Information selection ability

0.00
-1.76
1.72

Action

-

Penalty

-

Target

threshold

Decision-making ability

0.00
-1.74
1.72

Action

-

Penalty

-

Target

threshold

Absence/Leave due to other illnesses

0.00
-1.75
1.71

Action

-

Penalty

-

Target

threshold

Overtime hours

0.00
-2.79
2.65

Action

-

Penalty

-

Target

threshold

Diastolic blood pressure

0.00
-1.74
1.74

Action

-

Penalty

-

Target

threshold

Physical measurement

0.00
-3.01
2.86

Action

-

Penalty

-

Target

threshold

e-learning participation rate

0.00
-1.73
1.75

Action

-

Penalty

-

Target

threshold

Health literacy

0.00
-1.74
1.74

Action

-

Penalty

-

Target

threshold

Breakfast

0.00
-1.73
1.73

Action

-

Penalty

-

Target

threshold

Manager support

0.00
-2.74
2.69

Action

-

Penalty

-

Target

threshold

Life satisfaction

0.00
-2.75
2.50

Action

-

Penalty

-

Target

threshold

Time on health management

0.00
-2.50
2.47

Action

-

Penalty

-

Target

threshold

Fecal occult blood test

0.00
-1.73
1.73

Action

-

Penalty

-

Target

threshold

Waist circumference

0.00
-1.76
1.73

Action

-

Penalty

-

Target

threshold

Death after resignation

0.00
-1.74
1.73

Action

-

Penalty

-

Target

threshold

Arukatsu participation rate

0.00
-1.73
1.73

Action

-

Penalty

-

Target

threshold

Bedtime

0.00
-1.72
1.73

Action

-

Penalty

-

Target

threshold

Exercise frequency

0.00
-1.72
1.74

Action

-

Penalty

-

Target

threshold

Drinking habit

0.00
-1.74
1.71

Action

-

Penalty

-

Target

threshold

Start Optimization

Result
Action
Target

The measure provided in the case study indicates the causal relationships between various variables and their impact on the target variable, Sales revenue. The numbers assigned to each causal relationship represent the frequency of occurrence, with higher numbers indicating more significant relationships. For example, "Colleague support ->(1.0) Manager support" means that colleague support frequently leads to increased manager support, which in turn affects other variables. The case study shows that increasing Engagement from 0.00 to 1.37 leads to an increase in Sales revenue from 0.00 to 1.00. This action also affects other variables, such as Workload, Psychological stress response, Job control level, Work/Life satisfaction, and High-stress rate, among others. The causal graph helps identify which variables are most influential in achieving the desired outcome. For instance, Gross profit has a significant impact on multiple variables, including Presenteeism, Life satisfaction, and Working satisfaction, which ultimately affect Psychological stress response. Understanding these relationships allows for targeted actions to improve Sales revenue while considering the broader impact on employee well-being and organizational performance. The variables represent different aspects of health, work environment, and personal attributes, highlighting the complex interplay between them in driving business outcomes.

The proposed causal action suggests increasing Engagement from 0.00 to 1.37 to achieve a Sales revenue increase from 0.00 to 1.00. According to the causal graph, Engagement is influenced by Gross profit through FJLEVEL and Overtime hours, and it directly affects Working satisfaction, which in turn impacts High-stress rate and Psychological stress response. However, the causal graph does not show a direct link between Engagement and Sales revenue. Instead, Sales revenue is influenced by Smoking, which is affected by Glucose metabolism examination, Physical measurement, and other health-related variables.

The causal graph indicates that Gross profit has a significant impact on various factors, including Engagement, but the direct path from Engagement to Sales revenue is missing. Therefore, the proposed action of increasing Engagement to boost Sales revenue seems inconsistent with the causal graph. Additionally, the effect on other variables, such as Working satisfaction decreasing and Psychological stress response increasing, aligns with the graph's indication that higher Engagement might lead to higher workload and stress, but these do not directly link to Sales revenue.

In summary, while increasing Engagement might have various effects on employee-related variables, the direct impact on Sales revenue is not supported by the given causal graph, indicating an inconsistency in the proposed measure.

Effect

Download Result

Version: 1.0.8

Language

English

Menu

Introduction

Causal Action Optimization

Integrated Causal Discovery

Knowledge-Guided Causal Relationship Discovery

Fujitsu Kozuchi Causal AIInteractive Demo Video

We will introduce analysis and exploration using Fujitsu Causal AI using demo data from health management.

Fujitsu Kozuchi Causal AI Interactive Demo

Fujitsu Kozuchi Causal AI
Interactive Demo Video