Co-Author
This page shows the publications co-authored by Mitchel Harris and Aditya Karhade.
Connection Strength
1.878
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Development of prediction models for clinically meaningful improvement in PROMIS scores after lumbar decompression. Spine J. 2021 03; 21(3):397-404.
Score: 0.226
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Comparison of the Stopping Opioids after Surgery (SOS) score to preoperative morphine milligram equivalents (MME) for prediction of opioid prescribing after lumbar spine surgery. Spine J. 2020 11; 20(11):1798-1804.
Score: 0.220
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Development of machine learning and natural language processing algorithms for preoperative prediction and automated identification of intraoperative vascular injury in anterior lumbar spine surgery. Spine J. 2021 10; 21(10):1635-1642.
Score: 0.217
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Can natural language processing provide accurate, automated reporting of wound infection requiring reoperation after lumbar discectomy? Spine J. 2020 10; 20(10):1602-1609.
Score: 0.216
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Natural language processing for automated detection of incidental durotomy. Spine J. 2020 05; 20(5):695-700.
Score: 0.213
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Predicting 90-Day and 1-Year Mortality in Spinal Metastatic Disease: Development and Internal Validation. Neurosurgery. 2019 10 01; 85(4):E671-E681.
Score: 0.209
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Development of Machine Learning Algorithms for Prediction of 30-Day Mortality After Surgery for Spinal Metastasis. Neurosurgery. 2019 07 01; 85(1):E83-E91.
Score: 0.206
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Development of machine learning algorithms for prediction of mortality in spinal epidural abscess. Spine J. 2019 12; 19(12):1950-1959.
Score: 0.205
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Characteristics of postoperative opioid prescription use following lumbar discectomy. J Neurosurg Spine. 2021 Aug 27; 35(6):710-714.
Score: 0.060
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Survival After Surgery for Renal Cell Carcinoma Metastatic to the Spine: Impact of Modern Systemic Therapies on Outcomes. Neurosurgery. 2020 11 16; 87(6):1174-1180.
Score: 0.057
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Development of a machine learning algorithm for prediction of failure of nonoperative management in spinal epidural abscess. Spine J. 2019 10; 19(10):1657-1665.
Score: 0.051
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.