Titlebook: Machine Learning for Health Informatics; State-of-the-Art and Andreas Holzinger Book 2016 Springer International Publishing AG 2016 algorit

CHOKE

致敬

Heterodoxy

Latency

Osteons

Knowledge Discovery in Clinical Data,g terms where the interactions were captured by their co-occurrences in the documents. A greedy algorithm was used to find communities with high modularity. Finally, we compared our method with probabilistic topic modeling algorithms and evaluated the efficacy of our method by using recall and preci

prediabetes

,Convolutional Neural Networks Applied for Parkinson’s Disease Identification, In this work, we are interested into aiding physicians in such task by means of machine learning techniques, which can learn proper information from digitized versions of the exams, and them recommending a probability of a given individual being affected by PD depending on its handwritten skills. P

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wangle

0302-9743 hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field..978-3-319-50477-3978-3-319-50478-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Matic Perov?ek,Matja? Jur?i?,Bojan Cestnik,Nada Lavra?

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Joao H. Bettencourt-Silva,Gurdeep S. Mannu,Beatriz de la Iglesia