Using Kernel Density Estimation in Knowledge Distillation to Construct the Prediction Model for Bipolar Disorder Patients

Using Kernel Density Estimation in Knowledge Distillation to Construct the Prediction Model for Bipolar Disorder Patients

Bipolar disorder is a severe mood disorder and is one of the top 20 causes of disability in the world. Although there have been numerous studies based on machine learning models for the detection of bipolar disorder patients, these works have limitations. This study used a kernel density estimation...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Yu-Shiang Tseng, Meng-Han Yang
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2023-09-01
Sarja:Applied Sciences
Aiheet:
bipolar disorder
knowledge distillation
kernel density estimation
Medical Information Mart for Intensive Care
support vector machine
decision tree
Linkit:https://www.mdpi.com/2076-3417/13/18/10280

Internet

https://www.mdpi.com/2076-3417/13/18/10280

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