| Learning a health knowledge graph from electronic medical records M Rotmensch, Y Halpern, A Tlimat, S Horng, D Sontag Scientific reports 7 (1), 5994, 2017 | 445 | 2017 |
| Neighborhood disadvantage and lung cancer incidence in ever-smokers at a safety net health-care system: a retrospective study Y Adie, DJ Kats, A Tlimat, A Perzynski, J Dalton, D Gunzler, Y Tarabichi Chest 157 (4), 1021-1029, 2020 | 41 | 2020 |
| Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department C Redfield, A Tlimat, Y Halpern, DW Schoenfeld, E Ullman, DA Sontag, ... Journal of the American Medical Informatics Association 27 (1), 147-153, 2020 | 17 | 2020 |
| Using big data to evaluate the association between substance use disorders (SUDS) and T2DM-complications T Winhusen, J Theobald, D Kaelber, A Tlimat, D Lewis Journal of General Internal Medicine 33, S382-S382, 2018 | 6 | 2018 |
| Assessing different approaches to leveraging historical smoking exposure data to better select lung cancer screening candidates: a retrospective validation study DJ Kats, Y Adie, A Tlimat, PJ Greco, DC Kaelber, Y Tarabichi Nicotine and Tobacco Research 23 (8), 1334-1340, 2021 | 2 | 2021 |
| Could Patients at a Safety-Net Healthcare Systems Be Too Sick to Be Screened for Lung Cancer? A Tlimat, O Adeoye, DJ Kats, Y Tarabichi C73. Thoracic Oncology: Optimizing Lung Cancer Screening, Diagnosis, and …, 2020 | 1 | 2020 |
| Providers at an Academic Safety-Net Hospital System Tend to Refer Patients for Lung Cancer Screening Based on Patient Risk, but Demographic Disparities Persist DJ Kats, Y Adie, A Tlimat, Y Tarabichi A14. REDUCING DISPARITIES AND IMPROVING OUTCOMES OF LUNG CANCER SCREENING …, 2019 | 1 | 2019 |
| Artificial Intelligence Models in the Detection of Patient Ventilator Asynchrony: A Review of Techniques and Clinical Targets A Tlimat, C Fowler, S Bodduluri, SP Bhatt, PE Morris B38. OPTIMIZING MECHANICAL VENTILATION AND VENTILATOR LIBERATION, A3435-A3435, 2024 | | 2024 |
| Integration of Continuous Mechanical Ventilator Waveform Data With the Electronic Medical Record for Management of Mechanically Ventilated Patients: The VentInsights Platform A Tlimat, R Johnson, E Mireles-Cabodevila, M Dransfield, P Morris Respiratory Care 68 (Suppl 10), 2023 | | 2023 |
| Compatibility and Interoperability of the Ventilator Waveform Data for Clinical Research: The Mechanical Ventilator as an Internet of Things (IOT) Device A Tlimat, R Johnson, PE Morris B23. ADVANCING THE SCIENCE OF ACUTE RESPIRATORY FAILURE, A2881-A2881, 2023 | | 2023 |
| A Qualitative Analysis of Patient Responses to Lung Cancer Screening Decision Aid in a Safety-Net Healthcare System A Tlimat, N Riley, JD Thornton, A Perzynski, Y Tarabichi C73. THORACIC ONCOLOGY: OPTIMIZING LUNG CANCER SCREENING, DIAGNOSIS, AND …, 2020 | | 2020 |
| Pulsus Bisferiens Without Aortic Valve Disease O Adeoye, A Tlimat, IA Lalani, Z Shaman B44. CRITICAL CARE CASE REPORTS: CARDIOVASCULAR DISEASES IN THE ICU II …, 2020 | | 2020 |
| A Temporal Analysis of Variation in Smoking Intensity in the Cleveland Area by Strata of Neighborhood Socioeconomic Deprivation A Tlimat, DJ Kats, A Perzynski, Y Tarabichi D52. SMOKING-ASSOCIATED MODIFIERS OF LUNG DISEASE, A6712-A6712, 2019 | | 2019 |
| Can Historical Electronic Health Record Smoking Data Be Leveraged to Improve the Selection of Patients for Lung Cancer Screening? DJ Kats, A Tlimat, Y Adie, Y Tarabichi B38. LUNG CANCER: SCREENING PRACTICES AND TREATMENT OUTCOMES, A3049-A3049, 2019 | | 2019 |
| Neighborhood Disadvantage and Lung Cancer Incidence in an Electronic Health Record Cohort Y Adie, A Tlimat, D Kats, A Perzynski, Y Tarabichi D110. LUNG CANCER: OPTIMIZING SCREENING, DIAGNOSIS, AND TREATMENT, A7287-A7287, 2019 | | 2019 |
| Derivation and Validation of a Record Linkage Algorithm between EMS and the Emergency Department C Redfield, A Tlimat, Y Halpern, D Schoenfeld, E Ullman, DA Sontag, ... bioRxiv, 124313, 2017 | | 2017 |
