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Alle Papers – Machine Learning im Gesundheitswesen

106.245 Papers insgesamt · Seite 1 von 400

1.

"Why Should I Trust You?"

2016·14.740 Zit.
2.

Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data

2005·10.547 Zit.·Medical Care
3.

A Comprehensive Survey on Graph Neural Networks

2020·8.950 Zit.·IEEE Transactions on Neural Networks and Learning SystemsOA
4.

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

2019·8.554 Zit.·Nature Machine IntelligenceOA
5.

High-performance medicine: the convergence of human and artificial intelligence

2018·8.071 Zit.·Nature Medicine
6.

Artificial intelligence in healthcare: past, present and future

2017·4.521 Zit.·Stroke and Vascular NeurologyOA
7.

A guide to deep learning in healthcare

2018·4.486 Zit.·Nature Medicine
8.

Analysis of Survival Data.

1985·4.382 Zit.·Biometrics
9.

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

2015·3.925 Zit.·BMJOA
10.

Machine Learning in Medicine

2019·3.797 Zit.·New England Journal of Medicine
11.

The potential for artificial intelligence in healthcare

2019·3.554 Zit.·Future Healthcare JournalOA
12.

Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models

2023·3.459 Zit.·PLOS Digital HealthOA
13.

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

2016·3.410 Zit.·New England Journal of MedicineOA
14.

Machine Learning in Medicine

2015·3.367 Zit.·CirculationOA
15.

Large language models in medicine

2023·3.117 Zit.·Nature Medicine
16.

Deep learning for healthcare: review, opportunities and challenges

2017·2.935 Zit.·Briefings in BioinformaticsOA
17.

An overview of clinical decision support systems: benefits, risks, and strategies for success

2020·2.730 Zit.·npj Digital MedicineOA
18.

Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success

2005·2.707 Zit.·BMJOA
19.

Revolutionizing healthcare: the role of artificial intelligence in clinical practice

2023·2.690 Zit.·BMC Medical EducationOA
20.

Self-Attentive Sequential Recommendation

2018·2.670 Zit.
21.

MIMIC-IV, a freely accessible electronic health record dataset

2023·2.587 Zit.·Scientific DataOA
22.

Scalable and accurate deep learning with electronic health records.

2018·2.401 Zit.
23.

The future of digital health with federated learning

2020·2.393 Zit.·npj Digital MedicineOA
24.

Key challenges for delivering clinical impact with artificial intelligence

2019·2.373 Zit.·BMC MedicineOA
25.

Learning Important Features Through Propagating Activation Differences

2017·2.370 Zit.·arXiv (Cornell University)OA