Search Set	Subset	Keywords
Learning method	$K_0$: Deep learning	$K_1$: convolutional neural network
		$K_2$: recurrent neural network
		$K_3$: artificial neural network
		$K_4$: multilayer perceptron
		$K_5$: self-organizing map
		$K_6$: Boltzmann machine
		$K_7$: autoencoder
	$K_0$: Unsupervised learning	$K_1$: clustering
		$K_2$: principal component analysis
		$K_3$: singular value decomposition
		$K_4$: hidden markov model
		$K_5$: k-means
	$K_0$: Supervised learning	$K_1$: support vector machine
		$K_2$: decision tree
		$K_3$: logistic regression
		$K_4$: KNN
		$K_5$: Bayes
Data type	$K_0$: Time series	$K_1$: signal
		$K_2$: eeg
		$K_3$: emg
		$K_4$: meg
		$K_5$: ecg
		$K_6$: nirs
		$K_7$: emg
		$K_8$: blood flow
		$K_9$: phonocardiogram
		$K_{10}$: eog
		$K_{11}$: ieeg
	$K_0$: Image	$K_1$: imaging
		$K_2$: fmri
		$K_3$: mri
		$K_4$: pet
		$K_5$: gastroscopy
		$K_6$: X-ray
		$K_7$: computed tomography scan
		$K_8$: CAT scan
		$K_9$: ultrasound
		$K_{10}$: fluoroscopy
		$K_{11}$: endoscopy
	$K_0$: Health parameters	$K_1$: clinical parameters
		$K_2$: prognostic data
		$K_3$: health indicators
Medical area	$K_0$: Pulmonology	$K_1$: lungs
		$K_2$: respiratory
	$K_0$: Gastroenterology	$K_1$: digestion
	$K_0$: Orthopedics
	$K_0$: Gynecology	$K_1$: urology
		$K_2$: obstetrics
		$K_3$: reproductive
	$K_0$: Neurology	$K_1$: brain
	$K_0$: Cardiology	$K_1$: heart
Case	$K_0$: COVID-19	$K_1$: SARS-CoV-2
	$K_0$: Cancer
	$K_0$: Cardiac ischemia
	$K_0$: Stroke
	$K_0$: Diabetes