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ROC Curve

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Gene pathogenicity prediction of Mendelian diseases via the random forest algorithm.

Human genetics May 8, 2019
The study of Mendelian diseases and the identification of their causative genes are of great significance in the field of genetics. The evaluation of the pathogenicity of genes and the total number of Mendelian disease genes are both important questi...
Humans ROC Curve Machine Learning Genetic Predisposition to Disease Algorithms Genetic Diseases, Inborn Genes, Dominant Genes, Recessive
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Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies.

International journal of medical informatics May 7, 2019
BACKGROUND: Approximately 10%-15% of patients with breast cancer die of cancer metastasis or recurrence, and early diagnosis of it can improve prognosis. Breast cancer outcomes may be prognosticated on the basis of surface markers of tumor cells and ...
ROC Curve Bayes Theorem Prognosis Female Breast Neoplasms Middle Aged Cohort Studies Humans Machine Learning Algorithms Biomarkers
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Can machine learning predict resecability of a peritoneal carcinomatosis?

Surgical oncology May 4, 2019
BACKGROUND: Approximately 20% of initially eligible patients in a HIPEC procedure eventually underwent a simple surgical exploration. These procedures are called 'open & close' (O & C) representing up to 48% of surgery. The objective of this study wa...
Cytoreduction Surgical Procedures Female Aged Young Adult Adult Male Middle Aged ROC Curve Follow-Up Studies Humans Laparoscopy Machine Learning Peritoneal Neoplasms Decision Support Techniques Prospective Studies Prognosis
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Prediction of hematoma expansion in spontaneous intracerebral hemorrhage using support vector machine.

EBioMedicine May 3, 2019
BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) is a devastating disease with high mortality rate. This study aimed to predict hematoma expansion in spontaneous ICH from routinely available variables by using support vector machine (SVM) metho...
Female Aged Aged, 80 and over Young Adult Adult Humans Biomarkers Prognosis Retrospective Studies Tomography, X-Ray Computed Support Vector Machine Cerebral Hemorrhage Models, Biological Hematoma Odds Ratio Sensitivity and Specificity Glasgow Coma Scale Male Middle Aged ROC Curve Image Processing, Computer-Assisted
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Preoperative Prediction of Value Metrics and a Patient-Specific Payment Model for Primary Total Hip Arthroplasty: Development and Validation of a Deep Learning Model.

The Journal of arthroplasty May 2, 2019
BACKGROUND: The primary objective was to develop and test an artificial neural network (ANN) that learns and predicts length of stay (LOS), inpatient charges, and discharge disposition for total hip arthroplasty. The secondary objective was to create...
Aged Aged, 80 and over Male Comorbidity Deep Learning Humans Databases, Factual Female Reproducibility of Results Arthroplasty, Replacement, Hip Preoperative Period Social Class Health Care Costs Osteoarthritis, Hip Length of Stay Cohort Studies ROC Curve United States Inpatients Fees and Charges
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Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.

Pediatric radiology Apr 30, 2019
BACKGROUND: An automated method for identifying the anatomical region of an image independent of metadata labels could improve radiologist workflow (e.g., automated hanging protocols) and help facilitate the automated curation of large medical imagin...
Deep Learning Clinical Competence Adolescent Child, Preschool Child Machine Learning Databases, Factual Retrospective Studies Female Humans Male Musculoskeletal Diseases ROC Curve Neural Networks, Computer Automation Area Under Curve Semantics Radiography Radiologists Workflow
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Beyond multidrug resistance: Leveraging rare variants with machine and statistical learning models in Mycobacterium tuberculosis resistance prediction.

EBioMedicine Apr 29, 2019
BACKGROUND: The diagnosis of multidrug resistant and extensively drug resistant tuberculosis is a global health priority. Whole genome sequencing of clinical Mycobacterium tuberculosis isolates promises to circumvent the long wait times and limited s...
Models, Statistical ROC Curve Humans Mycobacterium tuberculosis Evolution, Molecular Genomics Genome, Bacterial Machine Learning Antitubercular Agents Computational Biology Extensively Drug-Resistant Tuberculosis Prognosis Tuberculosis, Multidrug-Resistant Databases, Genetic Reproducibility of Results Genetic Variation Cluster Analysis Microbial Sensitivity Tests
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Predicting coronary artery disease: a comparison between two data mining algorithms.

BMC public health Apr 29, 2019
BACKGROUND: Cardiovascular diseases (CADs) are the first leading cause of death across the world. World Health Organization has estimated that morality rate caused by heart diseases will mount to 23 million cases by 2030. Hence, the use of data minin...
Predictive Value of Tests Coronary Artery Disease Data Mining Sex Factors Middle Aged ROC Curve Socioeconomic Factors Support Vector Machine Age Factors Algorithms Electronic Health Records Humans Female Neural Networks, Computer Risk Factors Male
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Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants.

Journal of Korean medical science Apr 29, 2019
BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (spontaneous preterm labor and birth) and its major determinants. This study uses an ANN for analyzing preterm birth and its major determinants.
Cervix Uteri Pregnancy Female Area Under Curve Infant, Newborn Placenta Premature Birth Humans Gestational Age Risk Factors Obstetric Labor, Premature Neural Networks, Computer Hypertension Adult Diabetes Mellitus ROC Curve Body Mass Index Logistic Models
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Deep Learning/Artificial Intelligence and Blood-Based DNA Epigenomic Prediction of Cerebral Palsy.

International journal of molecular sciences Apr 27, 2019
The etiology of cerebral palsy (CP) is complex and remains inadequately understood. Early detection of CP is an important clinical objective as this improves long term outcomes. We performed genome-wide DNA methylation analysis to identify epigenomic...
Humans Artificial Intelligence Infant, Newborn Gene Expression Profiling Case-Control Studies ROC Curve Cell-Free Nucleic Acids Deep Learning CpG Islands Gene Regulatory Networks Cerebral Palsy Epigenesis, Genetic Epigenomics DNA Methylation
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