Machine learning-driven simplification of the hypomania checklist-32 for adolescent: a feature selection approach

Description

Guanghui Shen, Haoran Chen, Xinwu Ye, Xiaodong Xue, and Shusi Tang shrink a thirty-two-item mania screen to eight items for teens with learning methods, in a study from two thousand twenty-four. Near three thousand teens who took the full screen supplied the data. Two tree-based methods picked the items that carry the signal.

The eight-item form kept very high accuracy in the checks. Picked items cover core teen mania marks like high energy, risk taking, and short temper. Two cut scores are offered, one strict and one balanced, both with strong marks. A shorter screen eases clinic use where time and focus are scarce. Readers get a teen-tuned bipolar screen with proof behind it.

Catalog record

Source: https://europepmc.org/articles/PMC11655905