AIMC Topic:
Supervised Machine Learning

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Discriminating Heterogeneous Trajectories of Resilience and Depression After Major Life Stressors Using Polygenic Scores.

JAMA psychiatry Jul 1, 2021
IMPORTANCE: Major life stressors, such as loss and trauma, increase the risk of depression. It is known that individuals show heterogeneous trajectories of depressive symptoms following major life stressors, including chronic depression, recovery, an...
Resilience, Psychological Stress, Psychological Genome-Wide Association Study Middle Aged Deep Learning Supervised Machine Learning Depressive Disorder Multifactorial Inheritance Genetic Predisposition to Disease United States Longitudinal Studies Humans Female Aged Male
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Semi-supervised random forest regression model based on co-training and grouping with information entropy for evaluation of depression symptoms severity.

Mathematical biosciences and engineering : MBE May 27, 2021
Semi-supervised learning has always been a hot topic in machine learning. It uses a large number of unlabeled data to improve the performance of the model. This paper combines the co-training strategy and random forest to propose a novel semi-supervi...
Supervised Machine Learning Entropy Machine Learning Algorithms Depression Humans
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Contrastive Similarity Matching for Supervised Learning.

Neural computation Apr 13, 2021
We propose a novel biologically plausible solution to the credit assignment problem motivated by observations in the ventral visual pathway and trained deep neural networks. In both, representations of objects in the same category become progressivel...
Neural Networks, Computer Algorithms Feedback Supervised Machine Learning Neurons
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Better-than-chance classification for signal detection.

Biostatistics (Oxford, England) Apr 10, 2021
The estimated accuracy of a classifier is a random quantity with variability. A common practice in supervised machine learning, is thus to test if the estimated accuracy is significantly better than chance level. This method of signal detection is pa...
Computer Simulation Supervised Machine Learning Probability Humans Neuroimaging
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Supervised Multidimensional Scaling and its Application in MRI-Based Individual Age Predictions.

Neuroinformatics Apr 1, 2021
It has been a popular trend to decode individuals' demographic and cognitive variables based on MRI. Features extracted from MRI data are usually of high dimensionality, and dimensionality reduction (DR) is an effective way to deal with these high-di...
Forecasting Brain Magnetic Resonance Imaging Humans Algorithms Supervised Machine Learning Multidimensional Scaling Analysis
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Unsupervised and self-supervised deep learning approaches for biomedical text mining.

Briefings in bioinformatics Mar 22, 2021
Biomedical scientific literature is growing at a very rapid pace, which makes increasingly difficult for human experts to spot the most relevant results hidden in the papers. Automatized information extraction tools based on text mining techniques ar...
Unsupervised Machine Learning Supervised Machine Learning Data Mining Algorithms Neural Networks, Computer Deep Learning Cluster Analysis
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Generative transfer learning for measuring plausibility of EHR diagnosis records.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2021
OBJECTIVE: Due to a complex set of processes involved with the recording of health information in the Electronic Health Records (EHRs), the truthfulness of EHR diagnosis records is questionable. We present a computational approach to estimate the pro...
Professional-Patient Relations Humans Probability Machine Learning Disease Electronic Health Records Delivery of Health Care Diagnosis Supervised Machine Learning
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Machine Learning to Differentiate Risk of Suicide Attempt and Self-harm After General Medical Hospitalization of Women With Mental Illness.

Medical care Feb 1, 2021
BACKGROUND: Suicide prevention is a public health priority, but risk factors for suicide after medical hospitalization remain understudied. This problem is critical for women, for whom suicide rates in the United States are disproportionately increas...
Middle Aged Suicide, Attempted Cohort Studies Supervised Machine Learning Patient Readmission Self-Injurious Behavior Young Adult Adult Sensitivity and Specificity Hospitalization Aged Humans Algorithms Mental Disorders Women Female Retrospective Studies Reproducibility of Results Electronic Health Records Risk Factors
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Deep Learning for Protein-Protein Interaction Site Prediction.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
Protein-protein interactions (PPIs) are central to cellular functions. Experimental methods for predicting PPIs are well developed but are time and resource expensive and suffer from high false-positive error rates at scale. Computational prediction ...
Supervised Machine Learning Deep Learning Protein Interaction Mapping Proteins
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Deep Learning Models for Gastric Signet Ring Cell Carcinoma Classification in Whole Slide Images.

Technology in cancer research & treatment Jan 1, 2021
Signet ring cell carcinoma (SRCC) of the stomach is a rare type of cancer with a slowly rising incidence. It tends to be more difficult to detect by pathologists, mainly due to its cellular morphology and diffuse invasion manner, and it has poor prog...
Stomach Neoplasms False Positive Reactions Humans Supervised Machine Learning Deep Learning Computational Biology False Negative Reactions Area Under Curve ROC Curve Carcinoma, Signet Ring Cell
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