Results 221 to 230 of about 60,361 (257)

Explainable machine learning to predict prolonged post-operative opioid use in rotator cuff patients. [PDF]

BMC Musculoskelet Disord
Guattery J, Miller LM, Irrgang JJ, Lin A, Parmanto B, Tafti AP.   +5 more
europepmc   +1 more source

Explainable Multitask Burnout Prediction Using Adaptive Deep Learning (EMBRACE) for Resident Physicians: Algorithm Development and Validation Study. [PDF]

JMIR AI
Alam S, Alam MAU.
europepmc   +1 more source

Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study.

JMIR Med Inform
Hummel L, Lorenz-Artz KCAG, Bierbooms JJPA, Bongers IMB.   +3 more
europepmc   +1 more source

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Explaining Explainable AI

2020
An aspect of User friendly AI involves explanation and better transparency of AI. Explainable AI(XAI) is an emerging area of research dedicated to explain and elucidate AI systems. In order to accomplish such an explanation, XAI uses a variety of tools, devices and frameworks.
Panda, Swaroop, Roy, Shatarupa Thakurta
openaire   +1 more source

Explaining 'explaining away'

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993
'Explaining away' is a common pattern of reasoning in which the confirmation of one cause of an observed or believed event reduces the need to invoke alternative causes. The opposite of explaining away also an occur, where the confirmation of one cause increases belief in another. A general qualitative probabilistic analysis of intercausal reasoning is
M.P. Wellman, M. Henrion
openaire   +1 more source