 Connection
Tellen Bennett to Machine Learning
This is a "connection" page, showing publications Tellen Bennett has written about Machine Learning.
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Connection Strength |
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1.536 |
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Bennett TD. Pediatric Deterioration Detection Using Machine Learning. Pediatr Crit Care Med. 2023 04 01; 24(4):347-349.
Score: 0.669
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Sanchez-Pinto LN, Bennett TD. Evaluation of Machine Learning Models for Clinical Prediction Problems. Pediatr Crit Care Med. 2022 05 01; 23(5):405-408.
Score: 0.628
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Martin B, DeWitt PE, Scott HF, Parker S, Bennett TD. Machine Learning Approach to Predicting Absence of Serious Bacterial Infection at PICU Admission. Hosp Pediatr. 2022 06 01; 12(6):590-603.
Score: 0.158
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Lorman V, Razzaghi H, Song X, Morse K, Utidjian L, Allen AJ, Rao S, Rogerson C, Bennett TD, Morizono H, Eckrich D, Jhaveri R, Huang Y, Ranade D, Pajor N, Lee GM, Forrest CB, Bailey LC. A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program. PLoS One. 2023; 18(8):e0289774.
Score: 0.043
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Pfaff ER, Girvin AT, Bennett TD, Bhatia A, Brooks IM, Deer RR, Dekermanjian JP, Jolley SE, Kahn MG, Kostka K, McMurry JA, Moffitt R, Walden A, Chute CG, Haendel MA. Identifying who has long COVID in the USA: a machine learning approach using N3C data. Lancet Digit Health. 2022 07; 4(7):e532-e541.
Score: 0.039
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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