A Neural Network Based Model for Predicting Psychological Conditions

By Filip Dabek, Jesus J. Caban. 2015

58 citations recorded by the source corpus.

Subfields: Epidemiology, Social Psychology, Surgery

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Epidemiology

1. Randall C. Wetzel
2. David C. Kale
3. Zachary Chase Lipton
4. Yan Liu

In Social Psychology

1. Zachary Chase Lipton

In Surgery

1. Randall C. Wetzel
2. David C. Kale
3. Zachary Chase Lipton

Citations in the corpus

• Distilling Knowledge from Deep Networks with Applications to Healthcare Domain (2015, background): “A recent study [11] showed that a neural network model can improve the prediction of the likelihood of several psychological conditions such as anxiety, behavioral disorders, depression, and post-traumatic stress disorder.”
• Learning to Diagnose with LSTM Recurrent Neural Networks (2015, background): “Recently, feedforward networks have been applied to medical time series in sliding window fashion to classify cases of gout, leukemia (Lasko et al., 2013), and critical illness (Che et al., 2015).”
• Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets (2017, background): “A recent study [37] showed that a neural network model can improve the prediction of several psychological conditions such as anxiety, behavioral disorders, depression, and post-traumatic stress disorder.”