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1
Commentary: Machine learning starts with human learning
Commentary: Machine learning starts with human learning
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Commentary: Machine learning starts with human learning

Andrei, Adin-Cristian

The Journal of thoracic and cardiovascular surgery, 2022-03, Vol.163 (3), p.1140-1141 [Periódico revisado por pares]

United States: Elsevier Inc

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2
Learning from machine learning
Learning from machine learning
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Learning from machine learning

Abou-Zamzam, Jr, Ahmed M

Journal of vascular surgery, 2022-01, Vol.75 (1), p.286-286 [Periódico revisado por pares]

United States

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3
Using Machine Learning to Predict Discharge Destination from Inpatient Rehabilitation
Using Machine Learning to Predict Discharge Destination from Inpatient Rehabilitation
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Using Machine Learning to Predict Discharge Destination from Inpatient Rehabilitation

Anderson, Hans ; Polovneff, Alexandra ; Durand, Matthew

Archives of physical medicine and rehabilitation, 2024-04, Vol.105 (4), p.e48-e48 [Periódico revisado por pares]

Elsevier Inc

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4
Development and Testing of a Daily Activity Recognition System for Post-stroke Rehabilitation
Development and Testing of a Daily Activity Recognition System for Post-stroke Rehabilitation
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Development and Testing of a Daily Activity Recognition System for Post-stroke Rehabilitation

Proffitt, Rachel

Archives of physical medicine and rehabilitation, 2024-04, Vol.105 (4), p.e33-e33 [Periódico revisado por pares]

Elsevier Inc

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5
Artificial Intelligence and Machine Learning May Resolve Health Care Information Overload
Artificial Intelligence and Machine Learning May Resolve Health Care Information Overload
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Artificial Intelligence and Machine Learning May Resolve Health Care Information Overload

Siegel, Mark G ; Rossi, Michael J ; Lubowitz, James H Lubowitz, James H. ; Siegel, Mark G. ; Rossi, Michael J.

Arthroscopy, 2024-06, Vol.40 (6), p.1721-1723 [Periódico revisado por pares]

United States: Elsevier Inc

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6
Ethical considerations in patient-directed artificial intelligence platforms
Ethical considerations in patient-directed artificial intelligence platforms
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Ethical considerations in patient-directed artificial intelligence platforms

Lakdawala, Nehal ; Lakdawala, Nikita ; Gronbeck, Christian ; Grant-Kels, Jane M

Journal of the American Academy of Dermatology, 2023-11 [Periódico revisado por pares]

United States

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7
Strengthsand Limitations of Machine Learning in Surgical Care
Strengthsand Limitations of Machine Learning in Surgical Care
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Strengthsand Limitations of Machine Learning in Surgical Care

Kelz, Rachel R. ; Airoldi, Edoardo M. ; Keele, Luke

Journal of the American College of Surgeons, 2021-06, Vol.232 (6), p.919-920 [Periódico revisado por pares]

United States: Elsevier Inc

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8
Machine Learning Characterization of COPD Subtypes
Machine Learning Characterization of COPD Subtypes
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Machine Learning Characterization of COPD Subtypes

Castaldi, Peter J. ; Boueiz, Adel ; Yun, Jeong ; Estepar, Raul San Jose ; Ross, James C. ; Washko, George ; Cho, Michael H. ; Hersh, Craig P. ; Kinney, Gregory L. ; Young, Kendra A. ; Regan, Elizabeth A. ; Lynch, David A. ; Criner, Gerald J. ; Dy, Jennifer G. ; Rennard, Stephen I. ; Casaburi, Richard ; Make, Barry J. ; Crapo, James ; Silverman, Edwin K. ; Hokanson, John E. ; Crapo, James D. ; Silverman, Edwin K. ; Make, Barry J. ; Regan, Elizabeth A. ; Beaty, Terri ; Begum, Ferdouse ; Castaldi, Peter J. ; Cho, Michael ; DeMeo, Dawn L. ; Boueiz, Adel R. ; Foreman, Marilyn G. ; Halper-Stromberg, Eitan ; Hayden, Lystra P. ; Hersh, Craig P. ; Hetmanski, Jacqueline ; Hobbs, Brian D. ; Hokanson, John E. ; Laird, Nan ; Lange, Christoph ; Lutz, Sharon M. ; McDonald, Merry-Lynn ; Parker, Margaret M. ; Prokopenko, Dmitry ; Qiao, Dandi ; Sakornsakolpat, Phuwanat ; Silverman, Edwin K. ; Wan, Emily S. ; Won, Sungho ; Centeno, Juan Pablo ; Charbonnier, Jean-Paul ; Coxson, Harvey O. ; Galban, Craig J. ; Han, MeiLan K. ; Hoffman, Eric A. ; Humphries, Stephen ; Jacobson, Francine L. ; Judy, Philip F. ; Kazerooni, Ella A. ; Kluiber, Alex ; Lynch, David A. ; Nardelli, Pietro ; Newell, John D. ; Notary, Aleena ; Oh, Andrea ; Ross, James C. ; Estepar, Raul San Jose ; Schroeder, Joyce ; Sieren, Jered ; Stoel, Berend C. ; Tschirren, Juerg ; Van Beek, Edwin ; van Ginneken, Bram ; van Rikxoort, Eva ; Sanchez-Ferrero, Gonzalo Vegas ; Veitel, Lucas ; Washko, George R. ; Wilson, Carla G. ; Jensen, Robert ; Everett, Douglas ; Crooks, Jim ; Pratte, Katherine ; Strand, Matt ; Kinney, Gregory ; Young, Kendra A. ; Bhatt, Surya P. ; Bon, Jessica ; Diaz, Alejandro A. ; Make, Barry ; Murray, Susan ; Regan, Elizabeth ; Soler, Xavier ; Bowler, Russell P. ; Kechris, Katerina ; Banaei-Kashani, Farnoush

Chest, 2020-05, Vol.157 (5), p.1147-1157 [Periódico revisado por pares]

Elsevier Inc

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9
Machine-Learning and Radiomics-Based Preoperative Prediction of Ki-67 Expression in Glioma Using MRI Data
Machine-Learning and Radiomics-Based Preoperative Prediction of Ki-67 Expression in Glioma Using MRI Data
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Machine-Learning and Radiomics-Based Preoperative Prediction of Ki-67 Expression in Glioma Using MRI Data

Ni, Jiaying ; Zhang, Hongjian ; Yang, Qing ; Fan, Xiao ; Xu, Junqing ; Sun, Jianing ; Zhang, Junxia ; Hu, Yifang ; Xiao, Zheming ; Zhao, Yuhong ; Zhu, Hongli ; Shi, Xian ; Feng, Wei ; Wang, Junjie ; Wan, Cheng ; Zhang, Xin ; Liu, Yun ; You, Yongping ; Yu, Yun

Academic radiology, 2024-03 [Periódico revisado por pares]

United States: Elsevier Inc

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10
Abstract 1231 Using Machine Learning to Predict Antimicrobial Resistance in Water-Derived E. coli
Abstract 1231 Using Machine Learning to Predict Antimicrobial Resistance in Water-Derived E. coli
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Abstract 1231 Using Machine Learning to Predict Antimicrobial Resistance in Water-Derived E. coli

Schutter, Luke ; Ihle, Clay ; Elmore, Zachary ; McHenry, Zoë ; Turner, Benjamin ; Huisman, Natalie ; Krueger, Brent ; Pikaart, Michael ; Best, Aaron

The Journal of biological chemistry, 2024-03, Vol.300 (3), p.105823, Article 105823 [Periódico revisado por pares]

Elsevier Inc

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