AIMC Topic: Predictive Value of Tests

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Machine Learning Algorithms Utilizing Quantitative CT Features May Predict Eventual Onset of Bronchiolitis Obliterans Syndrome After Lung Transplantation.

Academic radiology Feb 19, 2018
RATIONALE AND OBJECTIVES: Long-term survival after lung transplantation (LTx) is limited by bronchiolitis obliterans syndrome (BOS), defined as a sustained decline in forced expiratory volume in the first second (FEV) not explained by other causes. W...
Predictive Value of Tests Tidal Volume Forced Expiratory Volume Lung Transplantation Bronchiolitis Obliterans Adult Male Middle Aged Lung Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Humans
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Sustained sensorimotor control as intermittent decisions about prediction errors: computational framework and application to ground vehicle steering.

Biological cybernetics Feb 16, 2018
A conceptual and computational framework is proposed for modelling of human sensorimotor control and is exemplified for the sensorimotor task of steering a car. The framework emphasises control intermittency and extends on existing models by suggesti...
Humans Neural Networks, Computer Computer Simulation Decision Making Predictive Value of Tests Automobile Driving Psychomotor Performance Motor Activity Feedback, Sensory
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An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.

Artificial intelligence in medicine Feb 9, 2018
BACKGROUND: The available antibiotic decision-making systems were developed from a physician's perspective. However, because infectious diseases are common, many patients desire access to knowledge via a search engine. Although the use of antibiotics...
Humans Bacterial Infections Reproducibility of Results Machine Learning Predictive Value of Tests Diagnosis, Computer-Assisted Decision Support Techniques Biological Ontologies User-Computer Interface Anti-Bacterial Agents Drug Prescriptions ROC Curve Clinical Decision-Making Drug Therapy, Computer-Assisted Decision Support Systems, Clinical
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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.

The Journal of investigative dermatology Feb 8, 2018
We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis, seborrheic keratosis, malignant melanoma, melanocytic nevu...
Keratosis, Actinic Lentigo Predictive Value of Tests Area Under Curve Biopsy Humans Skin Software Datasets as Topic Female False Positive Reactions Skin Neoplasms Middle Aged Aged, 80 and over Photography Aged Deep Learning Keratosis, Seborrheic Young Adult ROC Curve Warts Adult Image Processing, Computer-Assisted Granuloma, Pyogenic Male Diagnosis, Differential
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Gene-Specific Variant Classifier (DPYD-Varifier) to Identify Deleterious Alleles of Dihydropyrimidine Dehydrogenase.

Clinical pharmacology and therapeutics Feb 2, 2018
Deleterious variants in dihydropyrimidine dehydrogenase (DPD, DPYD gene) can be highly predictive of clinical toxicity to the widely prescribed chemotherapeutic 5-fluorouracil (5-FU). However, there are very limited data pertaining to the functional ...
Cell Survival Predictive Value of Tests Structure-Activity Relationship Models, Molecular Fluorouracil Risk Assessment Pharmacogenetics Humans Genotype Machine Learning Dose-Response Relationship, Drug Inhibitory Concentration 50 Computer Simulation Antimetabolites, Antineoplastic HCT116 Cells Mutation, Missense HEK293 Cells Dihydrouracil Dehydrogenase (NADP) Gene Frequency Pharmacogenomic Testing Protein Conformation Pharmacogenomic Variants
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Evaluation of a Machine Learning-Based Prognostic Model for Unrelated Hematopoietic Cell Transplantation Donor Selection.

Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation Feb 2, 2018
The survival of patients undergoing hematopoietic cell transplantation (HCT) from unrelated donors for acute leukemia exhibits considerable variation, even after stringent genetic matching. To improve the donor selection process, we attempted to crea...
Algorithms Prognosis Survival Rate Predictive Value of Tests Acute Disease Humans Machine Learning Hematopoietic Stem Cell Transplantation Donor Selection Leukemia Unrelated Donors
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Anytime multipurpose emotion recognition from EEG data using a Liquid State Machine based framework.

Artificial intelligence in medicine Feb 1, 2018
Recent technological advances in machine learning offer the possibility of decoding complex datasets and discern latent patterns. In this study, we adopt Liquid State Machines (LSM) to recognize the emotional state of an individual based on EEG data....
Emotions Predictive Value of Tests Electroencephalography Signal Processing, Computer-Assisted Brain Waves Machine Learning Humans Pattern Recognition, Automated Photic Stimulation Brain Computer Simulation Reproducibility of Results Time Factors
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A review of influenza detection and prediction through social networking sites.

Theoretical biology & medical modelling Feb 1, 2018
Early prediction of seasonal epidemics such as influenza may reduce their impact in daily lives. Nowadays, the web can be used for surveillance of diseases. Search engines and social networking sites can be used to track trends of different diseases ...
Neural Networks, Computer Machine Learning Disease Outbreaks Predictive Value of Tests Internet Humans Influenza, Human Search Engine Social Networking
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Machine Learning on a Genome-wide Association Study to Predict Late Genitourinary Toxicity After Prostate Radiation Therapy.

International journal of radiation oncology, biology, physics Jan 31, 2018
PURPOSE: Late genitourinary (GU) toxicity after radiation therapy limits the quality of life of prostate cancer survivors; however, efforts to explain GU toxicity using patient and dose information have remained unsuccessful. We identified patients w...
Area Under Curve Urination Prostatic Neoplasms Quality of Life Symptom Assessment Humans Androgen Antagonists Genome-Wide Association Study Brachytherapy Urogenital System Machine Learning Polymorphism, Single Nucleotide Confidence Intervals Urination Disorders Nocturia Reproducibility of Results Regression Analysis Genotyping Techniques Risk Male Predictive Value of Tests Lower Urinary Tract Symptoms Urinary Retention
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ν-net: Deep Learning for Generalized Biventricular Mass and Function Parameters Using Multicenter Cardiac MRI Data.

JACC. Cardiovascular imaging Jan 17, 2018
Humans Ventricular Function, Left Deep Learning Magnetic Resonance Imaging Predictive Value of Tests Heart Diseases Image Interpretation, Computer-Assisted Automation Ventricular Function, Right
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