Short Description: Build a model of hypothetical diagnoses, iteratively incorporating new data and eliminating invalid diagnoses.
Full Description: Problem diagnosis WorkFlow involves an iterative process of collecting data and drawing inferences based on predefined algorithms or rules. In this process, a hypothesis about a set of possible causes is inferred based on observable facts (symptoms) and then iteratively the most unlikely causes are ruled out as more and more observable facts are collected, so that in the end, one (or very few) most probable causes can be inferred. A common example of problem diagnosis is identifying nutrient deficiency in plants by observing leaf colours and leaf or fruit damage.
Other Names: Troubleshooting
Sample mappings of workflows to use case:
- Agriculture: Market linkage: Identify nutrient deficiency in plants by observing leaf colours or leaf/fruit damage
- Education: Remote learning: Support teacher in identifying and addressing student learning challenge
- Health: Maternal and newborn health: Identify signs of behavioural disorders by incorporating pertinent EHRs.