Below are the most recent publications written about "Machine Learning" by people in Profiles.
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Przybyszewski AW, Sledzianowski A, Chudzik A, Szlufik S, Koziorowski D. Machine Learning and Eye Movements Give Insights into Neurodegenerative Disease Mechanisms. Sensors (Basel). 2023 Feb 14; 23(4).
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Moradi M, Chen Y, Du X, Seddon JM. Deep ensemble learning for automated non-advanced AMD classification using optimized retinal layer segmentation and SD-OCT scans. Comput Biol Med. 2023 03; 154:106512.
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Faro JM, Chen J, Flahive J, Nagawa CS, Orvek EA, Houston TK, Allison JJ, Person SD, Smith BM, Blok AC, Sadasivam RS. Effect of a Machine Learning Recommender System and Viral Peer Marketing Intervention on Smoking Cessation: A Randomized Clinical Trial. JAMA Netw Open. 2023 01 03; 6(1):e2250665.
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Bonello K, Emani S, Sorensen A, Shaw L, Godsay M, Delgado M, Sperotto F, Santillana M, Kheir JN. Prediction of impending central-line-associated bloodstream infections in hospitalized cardiac patients: development and testing of a machine-learning model. J Hosp Infect. 2022 Sep; 127:44-50.
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Lawler AJ, Ramamurthy E, Brown AR, Shin N, Kim Y, Toong N, Kaplow IM, Wirthlin M, Zhang X, Phan BN, Fox GA, Wade K, He J, Ozturk BE, Byrne LC, Stauffer WR, Fish KN, Pfenning AR. Machine learning sequence prioritization for cell type-specific enhancer design. Elife. 2022 05 16; 11.
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Lin H, Himali JJ, Satizabal CL, Beiser AS, Levy D, Benjamin EJ, Gonzales MM, Ghosh S, Vasan RS, Seshadri S, McGrath ER. Identifying Blood Biomarkers for Dementia Using Machine Learning Methods in the Framingham Heart Study. Cells. 2022 04 30; 11(9).
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Salgado Garc?a FI, Indic P, Stapp J, Chintha KK, He Z, Brooks JH, Carreiro S, Derefinko KJ. Using wearable technology to detect prescription opioid self-administration. Pain. 2022 02 01; 163(2):e357-e367.
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Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. Br J Surg. 2021 Nov 11; 108(11):1274-1292.
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Ziobrowski HN, Kennedy CJ, Ustun B, House SL, Beaudoin FL, An X, Zeng D, Bollen KA, Petukhova M, Sampson NA, Puac-Polanco V, Lee S, Koenen KC, Ressler KJ, McLean SA, Kessler RC, Stevens JS, Neylan TC, Clifford GD, Jovanovic T, Linnstaedt SD, Germine LT, Rauch SL, Haran JP, Storrow AB, Lewandowski C, Musey PI, Hendry PL, Sheikh S, Jones CW, Punches BE, Lyons MS, Murty VP, McGrath ME, Pascual JL, Seamon MJ, Datner EM, Chang AM, Pearson C, Peak DA, Jambaulikar G, Merchant RC, Domeier RM, Rathlev NK, O'Neil BJ, Sergot P, Sanchez LD, Bruce SE, Pietrzak RH, Joormann J, Barch DM, Pizzagalli DA, Sheridan JF, Harte SE, Elliott JM, van Rooij SJH. Development and Validation of a Model to Predict Posttraumatic Stress Disorder and Major Depression After a Motor Vehicle Collision. JAMA Psychiatry. 2021 11 01; 78(11):1228-1237.
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Bashar SK, Ding EY, Walkey AJ, McManus DD, Chon KH. Atrial Fibrillation Prediction from Critically Ill Sepsis Patients. Biosensors (Basel). 2021 Aug 09; 11(8).