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. 2022 Apr 25;22(7):1834–1841. doi: 10.1111/ajt.17059

TABLE 3.

Example psychosocial profiles with corresponding probability of harmful alcohol use post‐LT by artificial intelligence model

# Psychosocial variable

Patient 1

(low risk)

Patient 2

(encephalopathy)

Patient 3

(high risk)

1 Has the patient's primary support person for peri‐ and post‐LT care been identified yet at time of this evaluation? Yes Yes No
2 Are there any pediatric children or grandchildren (<18 years old) who live with the patient? No Yes Yes
3 Was the patient recently a home caregiver for children or elderly relatives? Yes No No
4 Has the patient ever abused opioid pills? Never Not collected Former
5 Is the patient observant in religion and/or attend services regularly? Yes Yes No
6 If applicable, does the patient currently have a healthy/strong relationship with his/her siblings? Yes Yes No
7 Did the patient ever complete a rehabilitation program? No Not Collected Yes
8 During the interview, did the patient make eye contact with the writer? Yes No No
9 Is the writer's background in social work? Yes No Yes
10 Has the patient ever been treated with methadone for opioid addiction? Never Not Collected Current
11 Medicaid/Medicare (vs. Private/Other) insurance? No Yes Yes
12 Did the writer discuss potential living donors? No No No
13 Patient's spouse or significant other (vs. non‐spouse/significant other) has been identified as primary support person for peri and post‐LT care Yes Yes Not Collected
Probability of Harmful Alcohol Use Post‐LT (95% CI)

8.3%

(0–20.3%)

45.4%

(8.7–82.1%)

93.4%

(88.6–98.2%)