QR Kod

Interpretability of Machine Learning Solutions in Public Healthcare: The CRISP-ML Approach

Public healthcare has a history of cautious adoption for artificial intelligence (AI) systems. The rapid growth of data collection and linking capabilities combined with the increasing diversity of the data-driven AI techniques, including machine learning (ML), has brought both ubiquitous opportunit...

Ful tanımlama

Kaydedildi:
Asıl Yazarlar: Inna Kolyshkina, Simeon Simoff
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2021-05-01
Seri Bilgileri:Frontiers in Big Data
Konular:
machine learning
interpretability
public health
data science methodology
CRISP-ML
necessary level of interpretability
Online Erişim:https://www.frontiersin.org/articles/10.3389/fdata.2021.660206/full
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Benzer Materyaller