AIMC Topic:
Supervised Machine Learning

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A Generic Semi-Supervised and Active Learning Framework for Biomedical Text Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Biomedical text classification requires having training examples labeled by clinical specialists, a process that can be costly. To address this problem, active learning incrementally selects a subset of the most informative unlabeled examples, sample...
Humans Algorithms Smoking Problem-Based Learning Supervised Machine Learning Obesity
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Comparison of Supervised and Self-Supervised Deep Representations Trained on Histological Images.

Studies in health technology and informatics Jun 6, 2022
Self-supervised methods gain more and more attention, especially in the medical domain, where the number of labeled data is limited. They provide results on par or superior to their fully supervised competitors, yet the difference between information...
Supervised Machine Learning Neoplasm Grading Neural Networks, Computer Image Processing, Computer-Assisted Humans
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Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction.

BMJ health & care informatics Apr 1, 2022
OBJECTIVES: The Indian Liver Patient Dataset (ILPD) is used extensively to create algorithms that predict liver disease. Given the existing research describing demographic inequities in liver disease diagnosis and management, these algorithms require...
Female Male Delivery of Health Care Supervised Machine Learning Liver Diseases Bayes Theorem Bias Humans Algorithms Artificial Intelligence
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SIFLoc: a self-supervised pre-training method for enhancing the recognition of protein subcellular localization in immunofluorescence microscopic images.

Briefings in bioinformatics Mar 10, 2022
With the rapid growth of high-resolution microscopy imaging data, revealing the subcellular map of human proteins has become a central task in the spatial proteome. The cell atlas of the Human Protein Atlas (HPA) provides precious resources for recog...
Supervised Machine Learning Fluorescent Antibody Technique Proteome Neural Networks, Computer Humans
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A Conceptual Framework to Predict Mental Health Patients' Zoning Classification.

Studies in health technology and informatics Jan 14, 2022
Zoning classification is a rating mechanism, which uses a three-tier color coding to indicate perceived risk from the patients' conditions. It is a widely adopted manual system used across mental health settings, however it is time consuming and cost...
Supervised Machine Learning Natural Language Processing Machine Learning Mental Health Electronic Health Records Humans
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Machine Learning Approaches for Early Prostate Cancer Prediction Based on Healthcare Utilization Patterns.

Studies in health technology and informatics Jan 14, 2022
The goal of this study was to build a machine learning model for early prostate cancer prediction based on healthcare utilization patterns. We examined the frequency and pattern changes of healthcare utilization in 2916 prostate cancer patients 3 yea...
Patient Acceptance of Health Care Humans Prostatic Neoplasms Supervised Machine Learning Male Machine Learning
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The Utility of Unsupervised Machine Learning in Anatomic Pathology.

American journal of clinical pathology Jan 6, 2022
OBJECTIVES: Developing accurate supervised machine learning algorithms is hampered by the lack of representative annotated datasets. Most data in anatomic pathology are unlabeled and creating large, annotated datasets is a time consuming and laboriou...
Supervised Machine Learning Unsupervised Machine Learning Humans Algorithms
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Learning to Discover Explainable Clinical Features With Minimum Supervision.

Translational vision science & technology Jan 3, 2022
PURPOSE: To compare supervised transfer learning to semisupervised learning for their ability to learn in-depth knowledge with limited data in the optical coherence tomography (OCT) domain.
Algorithms Supervised Machine Learning Deep Learning Humans Diabetic Retinopathy Macular Edema
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Weakly Supervised Learning for Poorly Differentiated Adenocarcinoma Classification in GastricEndoscopic Submucosal Dissection Whole Slide Images.

Technology in cancer research & treatment Jan 1, 2022
Endoscopic submucosal dissection (ESD) is the preferred technique for treating early gastric cancers including poorly differentiated adenocarcinoma without ulcerative findings. The histopathological classification of poorly differentiated adenocarci...
Supervised Machine Learning Humans
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Ensemble of diverse deep neural networks with pseudo-labels for repayment prediction in social lending.

Science progress Jan 1, 2022
In peer-to-peer (P2P) social lending, it is important to predict the repayment of borrowers. P2P lending data are generated in real-time, but most of them are pending to decide the repayment because the deadline is not yet expired. Adding the unexpir...
Peer Group Supervised Machine Learning Neural Networks, Computer
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