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Logistic Models

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Drug repositioning of herbal compounds via a machine-learning approach.

BMC bioinformatics May 29, 2019
BACKGROUND: Drug repositioning, also known as drug repurposing, defines new indications for existing drugs and can be used as an alternative to drug development. In recent years, the accumulation of large volumes of information related to drugs and d...
Humans Machine Learning Algorithms Phenotype Reproducibility of Results Models, Biological Gene Ontology Logistic Models Phytochemicals Drug Repositioning Pharmaceutical Preparations
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Multi-Path Dilated Residual Network for Nuclei Segmentation and Detection.

Cells May 23, 2019
As a typical biomedical detection task, nuclei detection has been widely used in human health management, disease diagnosis and other fields. However, the task of cell detection in microscopic images is still challenging because the nuclei are common...
Humans Deep Learning Image Processing, Computer-Assisted Cell Nucleus Computer Storage Devices Eosine Yellowish-(YS) Hematoxylin Staining and Labeling Logistic Models Microscopy, Fluorescence Models, Biological
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Identifying psychosis spectrum disorder from experience sampling data using machine learning approaches.

Schizophrenia research May 16, 2019
The ubiquity of smartphones opened up the possibility of widespread use of the Experience Sampling Method (ESM). The method is used to collect longitudinal data of participants' daily life experiences and is ideal to capture fluctuations in emotions ...
Monte Carlo Method Ecological Momentary Assessment Support Vector Machine Emotions Principal Component Analysis Psychotic Disorders Humans Male ROC Curve Neural Networks, Computer Case-Control Studies Machine Learning Smartphone Female Logistic Models
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Development of a machine learning algorithm for prediction of failure of nonoperative management in spinal epidural abscess.

The spine journal : official journal of the North American Spine Society May 4, 2019
BACKGROUND CONTEXT: Data regarding risk of failure of nonoperative management in spinal epidural abscess (SEA) are limited. Given the potential for deterioration with treatment failure, a tool that predicts the probability of failure would be of grea...
Humans Machine Learning Anti-Bacterial Agents Middle Aged Logistic Models Treatment Failure Spinal Diseases Epidural Abscess Female Risk Factors Adult 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.
Gestational Age Obstetric Labor, Premature Body Mass Index Cervix Uteri Area Under Curve Placenta Female Infant, Newborn Premature Birth Risk Factors Logistic Models Hypertension Diabetes Mellitus Adult ROC Curve Humans Neural Networks, Computer Pregnancy
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Extensive phenotype data and machine learning in prediction of mortality in acute coronary syndrome - the MADDEC study.

Annals of medicine Apr 27, 2019
Investigation of the clinical potential of extensive phenotype data and machine learning (ML) in the prediction of mortality in acute coronary syndrome (ACS). The value of ML and extensive clinical data was analyzed in a retrospective registry stud...
Electronic Health Records Female Aged Male Humans Coronary Angiography Machine Learning Middle Aged Registries Phenotype Risk Assessment Retrospective Studies Acute Coronary Syndrome Comorbidity Logistic Models
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Machine Learning Methods to Predict Social Media Disaster Rumor Refuters.

International journal of environmental research and public health Apr 24, 2019
This research provides a general methodology for distinguishing disaster-related anti-rumor spreaders from a non-ignorant population base, with strong connections in their social circle. Several important influencing factors are examined and illustra...
Social Media Disasters Humans Machine Learning Logistic Models Support Vector Machine
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Predicting childhood obesity using electronic health records and publicly available data.

PloS one Apr 22, 2019
BACKGROUND: Because of the strong link between childhood obesity and adulthood obesity comorbidities, and the difficulty in decreasing body mass index (BMI) later in life, effective strategies are needed to address this condition in early childhood. ...
Male Electronic Health Records Humans ROC Curve Pediatric Obesity Adolescent Logistic Models Machine Learning Female Body Mass Index Child, Preschool Prognosis Risk Factors Longitudinal Studies Child Retrospective Studies Adult
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Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

Computer methods and programs in biomedicine Apr 10, 2019
OBJECTIVE: A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative ...
Decision Trees Area Under Curve Bayes Theorem Discriminant Analysis Normal Distribution Oncogenes Tissue Array Analysis Colonic Neoplasms Risk Humans Logistic Models Neural Networks, Computer Support Vector Machine Models, Statistical Regression Analysis Machine Learning Sensitivity and Specificity Colon Gene Expression Profiling
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An Equation Based on Fuzzy Mathematics to Assess the Timing of Haemodialysis Initiation.

Scientific reports Apr 10, 2019
In order to develop an equation that integrates multiple clinical factors including signs and symptoms associated with uraemia to assess the initiation of dialysis, we conducted a retrospective cohort study including 25 haemodialysis centres in Mainl...
Logistic Models Glomerular Filtration Rate Area Under Curve Kidney Failure, Chronic Retrospective Studies Female Aged Adult Renal Dialysis Time Factors ROC Curve Male Middle Aged Humans Neural Networks, Computer
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