Standout Papers

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data 2018 2026 2020 2023 695
  1. Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data (2018)
    Milena Gianfrancesco, Suzanne Tamang et al. JAMA Internal Medicine

Immediate Impact

5 from Science/Nature 59 standout
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Citing Papers

Data leakage inflates prediction performance in connectome-based machine learning models
2024 Standout
Bias in medical AI: Implications for clinical decision-making
2024 Standout
1 intermediate paper

Works of Suzanne Tamang being referenced

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
2018 Standout

Author Peers

Author Last Decade Papers Cites
Suzanne Tamang 407 177 121 332 58 1.2k
Jenna Reps 473 145 112 169 60 1.5k
Jialin Liu 325 123 57 447 61 1.2k
Xi Yang 626 61 253 289 52 1.3k
Reed T. Sutton 286 253 132 281 21 1.7k
Taxiarchis Botsis 478 190 380 118 54 1.7k
Dmitriy Dligach 530 136 294 113 77 1.3k
Yindalon Aphinyanaphongs 259 174 192 181 58 1.4k
Juan Zhao 336 103 284 305 38 1.5k
Juan M. Banda 415 84 238 54 48 1.2k
Tristan Naumann 1115 72 504 307 24 1.7k

All Works

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2026