Harnessing LSTM Classifier to Suggest Nutrition Diet for Cancer Patients

Challenges of Deep Learning in Cancers

“…(v) DL can predict the effectiveness of new cancer drugs 14 and identify potential drug targets based on genetic and other data. Some top DL algorithms include convolutional neural networks, recurrent neural networks, autoencoders, generative adversarial networks, 15 long short-term memory networks, 16 capsule networks, and so on. There are many other variants of DL algorithms and combinations of these algorithms for various applications of cancer analysis.…”