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1.
Clinician perspectives on machine learning prognostic algorithms in the routine care of patients with cancer: a qualitative study.
Support Care Cancer
; 30(5): 4363-4372, 2022 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-35094138
2.
Electronic Health Record Mortality Prediction Model for Targeted Palliative Care Among Hospitalized Medical Patients: a Pilot Quasi-experimental Study.
J Gen Intern Med
; 34(9): 1841-1847, 2019 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-31313110
3.
Long-term Effect of Machine Learning-Triggered Behavioral Nudges on Serious Illness Conversations and End-of-Life Outcomes Among Patients With Cancer: A Randomized Clinical Trial.
JAMA Oncol
; 9(3): 414-418, 2023 03 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36633868
4.
Desired Characteristics of a Clinical Decision Support System for Early Sepsis Recognition: Interview Study Among Hospital-Based Clinicians.
JMIR Hum Factors
; 9(4): e36976, 2022 Oct 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-36269653
5.
Effect of Integrating Machine Learning Mortality Estimates With Behavioral Nudges to Clinicians on Serious Illness Conversations Among Patients With Cancer: A Stepped-Wedge Cluster Randomized Clinical Trial.
JAMA Oncol
; 6(12): e204759, 2020 Dec 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33057696
6.
Integrating machine-generated mortality estimates and behavioral nudges to promote serious illness conversations for cancer patients: Design and methods for a stepped-wedge cluster randomized controlled trial.
Contemp Clin Trials
; 90: 105951, 2020 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-31982648
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