AI Medical Compendium Topic:
Unsupervised Machine Learning

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Spiking neurons can discover predictive features by aggregate-label learning.

Science (New York, N.Y.)
The brain routinely discovers sensory clues that predict opportunities or dangers. However, it is unclear how neural learning processes can bridge the typically long delays between sensory clues and behavioral outcomes. Here, I introduce a learning c...

Unsupervised learning technique identifies bronchiectasis phenotypes with distinct clinical characteristics.

The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
BACKGROUND: Unsupervised learning technique allows researchers to identify different phenotypes of diseases with complex manifestations.

Prediction of Growth Factor-Dependent Cleft Formation During Branching Morphogenesis Using A Dynamic Graph-Based Growth Model.

IEEE/ACM transactions on computational biology and bioinformatics
This study considers the problem of describing and predicting cleft formation during the early stages of branching morphogenesis in mouse submandibular salivary glands (SMG) under the influence of varied concentrations of epidermal growth factors (EG...

Fully parallel write/read in resistive synaptic array for accelerating on-chip learning.

Nanotechnology
A neuro-inspired computing paradigm beyond the von Neumann architecture is emerging and it generally takes advantage of massive parallelism and is aimed at complex tasks that involve intelligence and learning. The cross-point array architecture with ...

Unsupervised detection of liver lesions in CT images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
This work presents an automatic approach for liver lesions detection in CT images. In this approach, liver is first segmented using fast and reliable semi-automatic technique. After liver segmentation, lesion detection is formulated as an unsupervise...

Towards Constructing a New Taxonomy for Psychiatry Using Self-reported Symptoms.

Studies in health technology and informatics
The Diagnostic and Statistical Manual (DSM) has served as the gold standard for psychiatric diagnosis for the past several decades in the USA, and DSM diagnoses mirror mental health and substance abuse diagnoses in ICD-9 and ICD-10. However, DSM diag...

Defining multivariate normative rules for healthy aging using neuroimaging and machine learning: an application to Alzheimer's disease.

Journal of Alzheimer's disease : JAD
BACKGROUND: Neuroimaging techniques combined with computational neuroanatomy have been playing a role in the investigation of healthy aging and Alzheimer's disease (AD). The definition of normative rules for brain features is a crucial step to establ...