postorgasmic illness syndromeResearch
A large Chinese online survey has identified four potential phenotypes of self-reported postorgasmic illness syndrome through data-driven symptom clustering. This research enhances understanding of the condition and may inform future studies and treatment approaches.
data driven symptom clustering identifies four potential phenotypes of self reported postorgasmic illness syndrome findings from a large chinese online survey
Original title: “Data-Driven symptom clustering identifies four potential phenotypes of self-reported postorgasmic illness syndrome: findings from a large Chinese online survey.”