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Correction: Stress Reduction in Perioperative Care: Feasibility Randomized Controlled Trial

Correction: Stress Reduction in Perioperative Care: Feasibility Randomized Controlled Trial

In “A Stress Reduction in Perioperative Care: Feasibility Randomized Controlled Trial” (J Med Internet Res 2025;27:e54049) the authors noted one error. Affiliation 2 has been revised from: Adhera Therapeutics (United States), Wake Forest, CA, United States to: Adhera Health Inc, Santa Cruz, CA, United States Additionally, the Conflicts of Interest section has been updated from: IACG, HA, SH-F, and PLG-S are employees of Adhera Therapeutics, which owns the Adhera CARINAE DH Program.

Haridimos Kondylakis, Irene Alice Chicchi Giglioli, Dimitrios Katehakis, Hatice Aldemir, Paul Zikas, George Papagiannakis, Santiago Hors-Fraile, Pedro L González-Sanz, Konstantinos Apostolakis, Constantine Stephanidis, Francisco J Núñez-Benjumea, Rosa M Baños-Rivera, Luis Fernandez-Luque, Angelina Kouroubali

J Med Internet Res 2025;27:e73608

Insights on the Side Effects of Female Contraceptive Products From Online Drug Reviews: Natural Language Processing–Based Content Analysis

Insights on the Side Effects of Female Contraceptive Products From Online Drug Reviews: Natural Language Processing–Based Content Analysis

Topic modeling algorithm—NMF decomposing the nonnegative document-term matrix into 2 lower-dimensional matrices: the topic matrix (W) and the terms matrix (H). The topic matrix represented documents by underlying topics, while the terms matrix represented topics by original words or tokens. Number of topics—8 topics differentiating most effectively among various types of experiences and complaints. The flowchart in Figure 1 illustrates the overall methodological approach.

Nicole Groene, Audrey Nickel, Amanda E Rohn

JMIR AI 2025;4:e68809