AI Medical Compendium Topic:
Models, Statistical

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Prediction of skin dose in low-kV intraoperative radiotherapy using machine learning models trained on results of in vivo dosimetry.

Medical physics Jan 25, 2019
PURPOSE: The purpose of this study was to implement a machine learning model to predict skin dose from targeted intraoperative (TARGIT) treatment resulting in timely adoption of strategies to limit excessive skin dose.
In Vivo Dosimetry Female Organs at Risk Aged Radiotherapy Dosage Aged, 80 and over Intraoperative Care Adult Mastectomy, Segmental Breast Neoplasms Middle Aged Models, Statistical Skin Humans Neural Networks, Computer Machine Learning
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Predictive Multitask Deep Neural Network Models for ADME-Tox Properties: Learning from Large Data Sets.

Journal of chemical information and modeling Jan 24, 2019
Successful drug discovery projects require control and optimization of compound properties related to pharmacokinetics, pharmacodynamics, and safety. While volume and chemotype coverage of public and corporate ADME-Tox (absorption, distribution, excr...
Humans Neural Networks, Computer Drug Design Models, Biological Permeability Quantitative Structure-Activity Relationship Databases, Pharmaceutical Models, Statistical Caco-2 Cells Models, Molecular Pharmaceutical Preparations
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Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images.

Biomedical engineering online Jan 24, 2019
BACKGROUND: Quantizing the Breast Imaging Reporting and Data System (BI-RADS) criteria into different categories with the single ultrasound modality has always been a challenge. To achieve this, we proposed a two-stage grading system to automatically...
Models, Statistical Breast Reproducibility of Results Radiology Breast Neoplasms Pattern Recognition, Automated Biopsy Diagnosis, Computer-Assisted Ultrasonography, Mammary Humans Image Processing, Computer-Assisted Neural Networks, Computer Female
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Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study.

IEEE journal of biomedical and health informatics Jan 23, 2019
This paper presents a novel method for hierarchical analysis of machine learning algorithms to improve predictions of at risk patients, thus further enabling prompt therapy. Specifically, we develop a multi-layer machine learning approach to analyze ...
Models, Statistical Predictive Value of Tests Humans Early Diagnosis Diagnosis, Computer-Assisted Machine Learning Sepsis Big Data Systemic Inflammatory Response Syndrome
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Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

PloS one Jan 16, 2019
There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhood psychopathology. Perhaps most compelling is in the case of internalizing disorders, like anxiety and depression, where unobservable symptoms cause c...
Anxiety Depression Wearable Electronic Devices Child, Preschool Child ROC Curve Logistic Models Models, Statistical Humans Female Sensitivity and Specificity Male Psychology, Child Signal Processing, Computer-Assisted Supervised Machine Learning Affect Psychopathology
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Predicting Hemodynamic Shock from Thermal Images using Machine Learning.

Scientific reports Jan 14, 2019
Proactive detection of hemodynamic shock can prevent organ failure and save lives. Thermal imaging is a non-invasive, non-contact modality to capture body surface temperature with the potential to reveal underlying perfusion disturbance in shock. In ...
Optical Imaging Shock, Cardiogenic Thermometry Infant Adolescent Humans Longitudinal Studies Child, Preschool Machine Learning Models, Statistical Child Male Blood Pressure Heart Rate
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Semi-supervised encoding for outlier detection in clinical observation data.

Computer methods and programs in biomedicine Jan 12, 2019
BACKGROUND AND OBJECTIVE: Electronic Health Record (EHR) data often include observation records that are unlikely to represent the "truth" about a patient at a given clinical encounter. Due to their high throughput, examples of such implausible obser...
Data Interpretation, Statistical Registries Data Collection Medical Informatics Humans Reproducibility of Results Male Neural Networks, Computer ROC Curve Algorithms Models, Statistical Electronic Health Records Female
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Prediction of TF-Binding Site by Inclusion of Higher Order Position Dependencies.

IEEE/ACM transactions on computational biology and bioinformatics Jan 10, 2019
Most proposed methods for TF-binding site (TFBS) predictions only use low order dependencies for predictions due to the lack of efficient methods to extract higher order dependencies. In this work, we first propose a novel method to extract higher or...
Protein Binding Mice Computational Biology Transcription Factors Humans Neural Networks, Computer Animals Binding Sites Databases, Genetic Models, Statistical Proteins DNA
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A classification framework for exploiting sparse multi-variate temporal features with application to adverse drug event detection in medical records.

BMC medical informatics and decision making Jan 10, 2019
BACKGROUND: Adverse drug events (ADEs) as well as other preventable adverse events in the hospital setting incur a yearly monetary cost of approximately $3.5 billion, in the United States alone. Therefore, it is of paramount importance to reduce the ...
Models, Statistical Drug-Related Side Effects and Adverse Reactions Data Mining Medical Informatics Applications Humans Machine Learning Electronic Health Records Hospitals
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Prediction of Recurrence after Transsphenoidal Surgery for Cushing's Disease: The Use of Machine Learning Algorithms.

Neuroendocrinology Jan 10, 2019
BACKGROUND: There are no reliable predictive models for recurrence after transsphenoidal surgery (TSS) for Cushing's disease (CD).
Male Models, Statistical Data Mining Recurrence Female Risk Factors Young Adult Adult Pituitary ACTH Hypersecretion Humans Machine Learning Algorithms Retrospective Studies
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