Natural language processing of patient in-session speech to predict brief motivational interviewing alcohol intervention response: an exploratory study

Mahmoud Elsayed, Kyla L Belisario, Ashley Blakely, Sabrina K Syan, Emily Levitt, Molly Garber, Emily MacKillop, Iris Balodis, Lawrence H Sweet, James MacKillop · 2026

Read Natural language processing of patient in-session speech to predict brief motivational interviewing alcohol intervention response: an exploratory study by Mahmoud Elsayed, Kyla L Belisario, Ashley Blakely, Sabrina K Syan, Emily Levitt, Molly Garber, Emily MacKillop, Iris Balodis, Lawrence H Sweet, James MacKillop (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13245401.txt.

Description

Mahmoud Elsayed and his team use word tools on speech by sick folk in talks. They tell how folk will act in the wake of a short drink-curb talk cure. Their 2026 probe study works on texts from one drive-talk meet with sixty-eight grown-ups.

Speech was scored for words on change, on heart states, on drive, on drink goods, and on health. Heart tone and all words said were scored as marks of how deep folk took part. Drink ends took in drinks in a week and shares of days with lots of drink. Folk cut drinks in a week and days with drink a lot as a whole. In a twist, more talk of change and more health words told of more drink at the next check. More heart talk and good tone told of few drinks in a week.

Catalog record

CREATORMahmoud Elsayed, Kyla L Belisario, Ashley Blakely, Sabrina K Syan, Emily Levitt, Molly Garber, Emily MacKillop, Iris Balodis, Lawrence H Sweet, James MacKillop
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE50 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13245401

Browse the full library · About the Tower of Babel