Machine Learning Diagnostics
Machine Learning Diagnostics is a computational framework within diagnostic science that employs machine learning algorithms to identify, classify, or predict pathological conditions by analyzing complex biological, clinical, or physiological data, distinguishing itself from traditional diagnostic methods through its adaptive, data-driven modeling of diagnostic patterns.
2.1K
Publications
107.7K
Citations
11.5K
Authors
3.5K
Institutions
Publications per year
2017–2026
1.9K
2.1K
Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer et al. · 2016 · 1.6K citations · Full text
Software Engineering for Machine Learning: A Case Study
Saleema Amershi, Andrew Begel, Christian Bird et al. · 2019 · 1.1K citations
Michael Roberts, Derek Driggs, Matthew Thorpe et al. · Research Explorer (The University of Manchester) · 2020 · 937 citations · Full text
Artificial neural networks in medical diagnosis
Filippo Amato, Alberto Botana López, Eladia María Peña‐Méndez et al. · Journal of Applied Biomedicine · 2013 · 905 citations · Full text
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11.5K
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Universidade Federal de Pernambuco, Brazil
6 publications · 272 citations
6
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6
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6
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3.5K
Harvard University
Cambridge, United States
21 h-index
66 publications
3.3K citations
Stanford University
Stanford, United States
18 h-index
96 publications
5.9K citations
Massachusetts General Hospital
Boston, United States
18 h-index
67 publications
4.1K citations

Shanghai Jiao Tong University
Shanghai, China
17 h-index
134 publications
7.2K citations

King Abdulaziz University
Jeddah, Saudi Arabia
16 h-index
32 publications
1.7K citations

Chitkara University
Chandigarh, India
16 h-index
34 publications
1.7K citations
Chandigarh University
Mohali, India
16 h-index
37 publications
1.4K citations
Massachusetts Institute of Technology
Cambridge, United States
15 h-index
52 publications
2.7K citations
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61 publications · 3K citations
33
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43 publications · 2.6K citations
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34 publications · 1.4K citations
22
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26 publications · 1.6K citations
20
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24 publications · 946 citations
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