MD Anderson’s Oncology Expert Advisor powered by IBM Watson: A Web-based cognitive clinical decision support tool.

Takahashi, Koichi; Kantarjian, Hagop M.; Stevens, Rick J; DiNardo, Courtney D.; Allen, Joshua L.; Hardeman, Emily; Carrier, Scott; Powers, Cynthia A.; Keane, Pat; Pierce, Sherry; Routbort, Mark J.; Nguyen, Thai; Smith, Brett; Frey, J. A.; Perry, Keith L.; Frenzel, John C.; High, Rob; Futreal, Andrew; Chin, Lynda

doi:10.1200/jco.2014.32.15_suppl.6506

Cited by 4 publications

(2 citation statements)

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“…Oncology Expert Advisor. The Oncology Expert Advisor (OEA) is an AI-based clinical decision support system developed by IBM [14,59]. Based on IBM's cognitive computing system Watson, the main task of OEA is to provide evidence-based therapy recommendations to doctors.…”

Section: Real-lifementioning

confidence: 99%

Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based Systems

Foidl¹,

Felderer²,

Ramler³

2022

Preprint

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High data quality is fundamental for today's AI-based systems. However, although data quality has been an object of research for decades, there is a clear lack of research on potential data quality issues (e.g., ambiguous, extraneous values). These kinds of issues are latent in nature and thus often not obvious. Nevertheless, they can be associated with an increased risk of future problems in AI-based systems (e.g., technical debt, data-induced faults). As a counterpart to code smells in software engineering, we refer to such issues as Data Smells. This article conceptualizes data smells and elaborates on their causes, consequences, detection, and use in the context of AI-based systems. In addition, a catalogue of 36 data smells divided into three categories (i.e., Believability Smells, Understandability Smells, Consistency Smells) is presented. Moreover, the article outlines tool support for detecting data smells and presents the result of an initial smell detection on more than 240 real-world datasets.

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Section: Real-lifementioning

confidence: 99%

Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based Systems

Foidl¹,

Felderer²,

Ramler³

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…A los profesionales, para quienes va a ser posible acceder a la mejor evidencia disponible gracias a supercomputadoras capaces de procesar un sinfín de datos en pocos segundos, como es el caso de Dr. Watson de IBM 11 , que ya está testándose en 2 centros de referencia para el tratamiento del cáncer: el Memorial Sloan Kettering y el MD Anderson 12,13 .…”

Section: Disponible En Internet El 3 De Julio De 2013unclassified

Big Data: un Fórmula 1 que debemos pilotar al servicio de la calidad asistencial y la seguridad de los pacientes

Boatella

Vila

2014

Revista de Calidad Asistencial

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Data smells

Foidl

Felderer

Ramler

2022

Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI

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MD Anderson’s Oncology Expert Advisor powered by IBM Watson: A Web-based cognitive clinical decision support tool.

Cited by 4 publications

References 0 publications

Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based Systems

Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based Systems

Big Data: un Fórmula 1 que debemos pilotar al servicio de la calidad asistencial y la seguridad de los pacientes

Data smells

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