Artificial Intelligence (AI), Cancer, Carcinoma, Nutrition
Conditions
Brief summary
You have completed the current stage of cancer treatment, after which you need to check regularly and pay attention to nutrition. So we started this study to see if AI could help with nutrition management. Main options: Option 1: Use AI to assist nutrition management; Option 2: Contact the nutritionist team of the hospital for nutrition management according to your own situation. Option 3: Do not adopt the first two management methods. Special Statement: Please choose; Cancer screening data is used for statistical analysis, but does not reveal any personal privacy.
Interventions
OTHERgroup 1: Use AI to assist nutrition management
group1：AI-assisted nutrition management. group 2：Traditional nutrition management（through the hospital dietitian）.group 3:control.
OTHERgroup 2：Traditional nutrition management（through the hospital dietitian）
group 2：Traditional nutrition management（through the hospital dietitian）
Sponsors
Changsha Medical University
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* Malignant tumor patient
Exclusion criteria
* no
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Survival Rate | three years after treatment | Survival Rate |
| Local Recurrence Rate | three years after treatment | Local Recurrence Rate |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| DNA positive rate of Epstein-Barr(EB) virus | three years after treatment | DNA positive rate of Epstein-Barr(EB) virus |
| Body mass index | three years after treatment | Data was obtained through the intelligent body fat device |
Countries
China
Outcome results
None listed