| Automating ischemic stroke subtype classification using machine learning and natural language processing R Garg, E Oh, A Naidech, K Kording, S Prabhakaran Journal of Stroke and Cerebrovascular Diseases 28 (7), 2045-2051, 2019 | 127 | 2019 |
| Text mining of the electronic health record: an information extraction approach for automated identification and subphenotyping of HFpEF patients for clinical trials SR Jonnalagadda, AK Adupa, RP Garg, J Corona-Cox, SJ Shah Journal of cardiovascular translational research 10 (3), 313-321, 2017 | 64 | 2017 |
| Natural language processing with machine learning to predict outcomes after ovarian cancer surgery EL Barber, R Garg, C Persenaire, M Simon Gynecologic oncology 160 (1), 182-186, 2021 | 49 | 2021 |
| A bootstrap machine learning approach to identify rare disease patients from electronic health records R Garg, S Dong, S Shah, SR Jonnalagadda arXiv preprint arXiv:1609.01586, 2016 | 25 | 2016 |
| Prediction of 30-day readmission after stroke using machine learning and natural language processing CM Lineback, R Garg, E Oh, AM Naidech, JL Holl, S Prabhakaran Frontiers in Neurology 12, 649521, 2021 | 22 | 2021 |
| Pyglmnet: Python implementation of elastic-net regularized generalized linear models M Jas, T Achakulvisut, A Idrizović, D Acuna, M Antalek, V Marques, ... Journal of Open Source Software 5 (47), 2020 | 22 | 2020 |
| Impact of Medicaid expansion on access and healthcare among individuals with sickle cell disease M Kayle, J Valle, S Paulukonis, JL Holl, P Tanabe, DD French, R Garg, ... Pediatric blood & cancer 67 (5), e28152, 2020 | 18 | 2020 |
| Feasibility and prediction of adverse events in a postoperative monitoring program of patient-reported outcomes and a wearable device among gynecologic oncology patients EL Barber, R Garg, A Strohl, D Roque, E Tanner JCO Clinical Cancer Informatics 6 (1), e2100167, 2022 | 6 | 2022 |
| Improving the accuracy of scores to predict gastrostomy after intracerebral hemorrhage with machine learning R Garg, S Prabhakaran, JL Holl, Y Luo, R Faigle, K Kording, AM Naidech Journal of Stroke and Cerebrovascular Diseases 27 (12), 3570-3574, 2018 | 6 | 2018 |
| Use of topic modeling to assess research trends in the journal Gynecologic Oncology AE Grubbs, N Sinha, R Garg, EL Barber Gynecologic oncology 172, 41-46, 2023 | 2 | 2023 |
| Abstract TP366: Using Machine Learning to Predict Tracheostomy After Intracerebral Hemorrhage R Garg, S Prabhakaran, J Holl, R Faigle, A Naidech Stroke 50 (Suppl_1), ATP366-ATP366, 2019 | 2 | 2019 |
| Abstract tp296: Predicting cincinnati prehospital stroke scale components in emergency medical services patient care reports using natural language processing and machine learning R Garg, CT Richards, A Naidech, S Prabhakaran Stroke 50 (Suppl_1), ATP296-ATP296, 2019 | 2 | 2019 |
| A Hybrid Citation Retrieval Algorithm for Evidence-based Clinical Knowledge Summarization: Combining Concept Extraction, Vector Similarity and Query Expansion for High Precision K Raja, AJ Sauer, RP Garg, MR Klerer, SR Jonnalagadda arXiv preprint arXiv:1609.01597, 2016 | 2 | 2016 |
| Complexity ranking in network device policies DW Engi, G Salgueiro, RP Garg US Patent 11,824,741, 2023 | | 2023 |
| AUTOMATING NETWORK DEVICE CONFIGURATION TEMPLATE DISCOVERY D Engi, G Salgueiro, R Garg, B Wise | | 2022 |
| Prediction of Physiologic Stabilization of Unstable Injured Patients Using Electronic Medical Record Data AM Stey, R Garg, J Holl, JD Slocum, AM Carroll, KY Bilimoria, A Kho Journal of the American College of Surgeons 233 (5), e222, 2021 | | 2021 |
| IMPROVING PREDICTION OF 30-DAY READMISSION AFTER STROKE USING MACHINE LEARNING R Garg, E Oh, A Naidech, J Holl, S Prabhakaran INTERNATIONAL JOURNAL OF STROKE 13, 43-43, 2018 | | 2018 |
| Identifying Characteristics of Patients With Suspected Stroke by Paramedics but not by Emergency Medical Dispatchers Using Natural Language Processing and Machine Learning CT Richards, RP Garg, SJ Mendelson, L Stein-Spencer, S Prabhakaran STROKE 49, 2018 | | 2018 |
Andrew NaidechNorthwestern MedicineVerified email at northwestern.edu
