Oral Squamous Cell Carcinoma
Conditions
Keywords
OSCC; Oral cancer; Machine Learning
Brief summary
Application Management Team: PI - Siu Wai Choi; email - htswchoi@hku.hk Delegates - Chui Shan Chu; email: sunshine.c@connect.hku.hk FollowUpUsers - Chui Shan Chu; email:sunshine.c@connect.hku.hk
Detailed description
Eligibility Criteria: \- patients were diagnosed with a baseline disease of oral squamous carcinoma. Exclusion Criteria: \- N/A Sample size: \- \ 500 subjects Source of Data: \- The data, such as age and medical records, would be obtained from Hospital Authority Clinical Management System (HACMS) Statistical analysis: \- machine learning will be applied into analysis plan
Interventions
PROCEDURESurgery
Resection of tumors
Sponsors
The University of Hong Kong
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* patients with oral squamous carcinoma * received surgery from 1st October 2000 to 1st October 2019
Exclusion criteria
N/A
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The primary outcomes of the study are metastasis and recurrent disease | Baseline of OSCC | These outcomes will be entered as the dependent variables into the machine learning model |
Countries
Hong Kong
Contacts
Primary ContactSW Choi, PhD
Backup ContactChui Shan Chu, MMedSc
Outcome results
None listed