Develop pseudotime patient models of health and salutogenesis

ID: B2AI_USECASE:26

Name: Develop pseudotime patient models of health and salutogenesis.

Description: As presented by the AI-READI GC, developing pseudotime patient models of health and salutogenesis hinges on the idea that health is a time-sensitive process, with various events contributing to a progression towards clinical outcomes in a chronological fashion. The exact amount of time between events may not be as important as their order and may therefore be abstracted.

Category: modeling

Involved in: Experimental Design, Metadata Management

Data Topics:

• B2AI_TOPIC:4 (Clinical Observations)

• B2AI_TOPIC:10 (EKG)

• B2AI_TOPIC:13 (Genome)

• B2AI_TOPIC:18 (mHealth)

• B2AI_TOPIC:24 (Ophthalmic Imaging)

• B2AI_TOPIC:29 (SDoH)

Enabled by:

• B2AI_USECASE:4 (Obtain image data from retinal and other ophthalmic imaging.)

• B2AI_USECASE:6 (Obtain patient data from wearable devices.)

• B2AI_USECASE:7 (Obtain genomics data from patients.)

• B2AI_USECASE:9 (Obtain social determinants of health data from patients.)

• B2AI_USECASE:17 (Standardize clinical record data collected from multiple sites and sources.)

Relevant to GCs:

• B2AI_ORG:114

Contributor: Harry Caufield (ORCID:0000-0001-5705-7831)