AIMC Topic:
Supervised Machine Learning

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Predicting Advanced Prostate Cancer from Modeling Early Indications in Biopsy and Prostatectomy Samples via Transductive Semi-Supervised Survival Analysis.

BioMed research international Oct 21, 2018
Prostate cancer is the most prevalent form of cancer and the second most common cause of cancer deaths among men in the United States. Accurate prognosis is important as it is the principal factor in determining the treatment plan. Prostate cancer is...
Biopsy Supervised Machine Learning Prostatectomy Humans Regression Analysis Algorithms Prostatic Neoplasms Male Prostate
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Dictionary Representations for Electrode Displacement Elastography.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Oct 5, 2018
Ultrasound electrode displacement elastography (EDE) has demonstrated the potential to monitor ablated regions in human patients after minimally invasive microwave ablation procedures. Displacement estimation for EDE is commonly plagued by decorrelat...
Electrodes Image Interpretation, Computer-Assisted Humans Phantoms, Imaging Algorithms Elasticity Imaging Techniques Neoplasms Ablation Techniques Abdomen Supervised Machine Learning
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A semi-supervised deep learning method based on stacked sparse auto-encoder for cancer prediction using RNA-seq data.

Computer methods and programs in biomedicine Oct 5, 2018
BACKGROUND AND OBJECTIVE: Cancer has become a complex health problem due to its high mortality. Over the past few decades, with the rapid development of the high-throughput sequencing technology and the application of various machine learning methods...
Software Algorithms Female Reproducibility of Results Humans Gene Expression Regulation, Neoplastic Supervised Machine Learning RNA Pattern Recognition, Automated False Positive Reactions Diagnosis, Computer-Assisted Stomach Neoplasms Lung Neoplasms Deep Learning Breast Neoplasms Sequence Analysis, RNA Male
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Predicting hospital associated disability from imbalanced data using supervised learning.

Artificial intelligence in medicine Oct 3, 2018
Hospitalization of elderly patients can lead to serious adverse effects on their functional capability. Identifying the underlying factors leading to such adverse effects is an active area of medical research. The purpose of the current paper is to s...
Aged Persons with Disabilities Supervised Machine Learning Finland Humans Hospitalization
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Estrous detection by continuous measurements of vaginal temperature and conductivity with supervised machine learning in cattle.

Theriogenology Sep 27, 2018
This study aimed to evaluate the effectiveness of estrous detection technique based on continuous measurements of vaginal temperature (VT) and conductivity (VC) with supervised machine learning in cattle. The VT and VC of 17 cows in tie-stalls were m...
Animals Cattle Longitudinal Studies Body Temperature Sexual Behavior, Animal Monitoring, Physiologic Supervised Machine Learning Female Reproducibility of Results Estrus
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Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images.

IEEE transactions on medical imaging Sep 24, 2018
We propose a framework for localization and classification of masses in breast ultrasound images. We have experimentally found that training convolutional neural network-based mass detectors with large, weakly annotated datasets presents a non-trivia...
Deep Learning Ultrasonography Algorithms Image Processing, Computer-Assisted Humans Female Supervised Machine Learning Neural Networks, Computer Republic of Korea Breast Neoplasms
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A little labeling goes a long way: Semi-supervised learning in infancy.

Developmental science Sep 18, 2018
There is considerable evidence that labeling supports infants' object categorization. Yet in daily life, most of the category exemplars that infants encounter will remain unlabeled. Inspired by recent evidence from machine learning, we propose that i...
Humans Learning Supervised Machine Learning Language Development Infant Child, Preschool
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Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration.

IEEE journal of biomedical and health informatics Sep 10, 2018
Deformable registration has been one of the pillars of biomedical image computing. Conventional approaches refer to the definition of a similarity criterion that, once endowed with a deformation model and a smoothness constraint, determines the optim...
Image Interpretation, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Supervised Machine Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted Abdomen Algorithms Brain Humans
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Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.

Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) Sep 5, 2018
BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification.
Voice Quality Glottis Male Vocal Cord Paralysis Alcohol Drinking Supervised Machine Learning Algorithms Middle Aged Voice Disorders Symptom Assessment Sex Factors Retrospective Studies Humans Severity of Illness Index Laryngeal Neoplasms Wounds and Injuries Smoking Female Neural Networks, Computer Age Factors Demography Aged Adult
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eDoctor: machine learning and the future of medicine.

Journal of internal medicine Sep 3, 2018
Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse computer science and statistics to medical problems. Proponents of ML extol its ability to deal with large, complex and disparate data, often found with...
Medicine Forecasting Precision Medicine Decision Support Systems, Clinical Humans Machine Learning Algorithms Unsupervised Machine Learning Supervised Machine Learning
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