Detalhe da pesquisa
1.
Intrapartum electronic fetal heart rate monitoring to predict acidemia at birth with the use of deep learning.
Am J Obstet Gynecol;
2024 Apr 24.
Artigo
em Inglês
| MEDLINE
| ID: mdl-38663662
2.
Locally Informed Simulation to Predict Hospital Capacity Needs During the COVID-19 Pandemic.
Ann Intern Med;
173(1): 21-28, 2020 07 07.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32259197
3.
Patient Interaction Phenotypes With an Automated Remote Hypertension Monitoring Program and Their Association With Blood Pressure Control: Observational Study.
J Med Internet Res;
22(12): e22493, 2020 12 03.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33270032
4.
Sparse multi-output Gaussian processes for online medical time series prediction.
BMC Med Inform Decis Mak;
20(1): 152, 2020 07 08.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32641134
5.
Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.
Crit Care Med;
47(11): 1477-1484, 2019 11.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31135500
6.
A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.
Crit Care Med;
47(11): 1485-1492, 2019 11.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31389839
7.
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.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31313110
8.
Locally Informed Simulation to Predict Hospital Capacity Needs During the COVID-19 Pandemic.
Ann Intern Med;
173(8): 680-681, 2020 10 20.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33075245
9.
Evaluating equity in performance of an electronic health record-based 6-month mortality risk model to trigger palliative care consultation: a retrospective model validation analysis.
BMJ Qual Saf;
32(9): 503-516, 2023 09.
Artigo
em Inglês
| MEDLINE
| ID: mdl-37001995
10.
Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic.
J Am Med Inform Assoc;
30(2): 348-354, 2023 01 18.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36409991
11.
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.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36633868
12.
Guiding Efficient, Effective, and Patient-Oriented Electrolyte Replacement in Critical Care: An Artificial Intelligence Reinforcement Learning Approach.
J Pers Med;
12(5)2022 Apr 20.
Artigo
em Inglês
| MEDLINE
| ID: mdl-35629084
13.
Performance Drift in a Mortality Prediction Algorithm during the SARS-CoV-2 Pandemic.
medRxiv;
2022 Mar 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-35262088
14.
Oncologist phenotypes and associations with response to a machine learning-based intervention to increase advance care planning: Secondary analysis of a randomized clinical trial.
PLoS One;
17(5): e0267012, 2022.
Artigo
em Inglês
| MEDLINE
| ID: mdl-35622812
15.
Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer.
JCO Clin Cancer Inform;
6: e2200073, 2022 12.
Artigo
em Inglês
| MEDLINE
| ID: mdl-36480775
16.
Two-Stage Approaches to Accounting for Patient Heterogeneity in Machine Learning Risk Prediction Models in Oncology.
JCO Clin Cancer Inform;
5: 1015-1023, 2021 09.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34591602
17.
Using electronic health records and claims data to identify high-risk patients likely to benefit from palliative care.
Am J Manag Care;
27(1): e7-e15, 2021 01 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-33471463
18.
Application of machine learning approaches to administrative claims data to predict clinical outcomes in medical and surgical patient populations.
PLoS One;
16(6): e0252585, 2021.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34081720
19.
Behavioral economic implementation strategies to improve serious illness communication between clinicians and high-risk patients with cancer: protocol for a cluster randomized pragmatic trial.
Implement Sci;
16(1): 90, 2021 09 25.
Artigo
em Inglês
| MEDLINE
| ID: mdl-34563227
20.
Validation of a Machine Learning Algorithm to Predict 180-Day Mortality for Outpatients With Cancer.
JAMA Oncol;
6(11): 1723-1730, 2020 Nov 01.
Artigo
em Inglês
| MEDLINE
| ID: mdl-32970131