Algorithm to determine a single output value based on multiple input values

The main challenge is the lack of data. Input values come from tests results of patients. A patient takes a breath test at an interval during a timespan. The result values can range from 0 to ~200, and can be plotted for diagnose by a doctor based on the curve shape. I am looking for an algorithm that takes the values at every interval and comes up with a single output value from 0 to 1 that indicates a fuzzy boolean to determine a preliminary diagnosis.

As mentioned the data is scarce, the current data available is a set of around 10 typical values of positive and negative test results.

I am looking for an algorithm or model that can rely on the available data.

I looked into Fuzzy Logic which could be an option despite I am not convinced.

What are your thoughts?

Topic bayesian fuzzy-logic decision-trees algorithms

Category Data Science

About

Geeks Mental is a community that publishes articles and tutorials about Web, Android, Data Science, new techniques and Linux security.