AI Medical Compendium Topic:
Models, Statistical

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Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

Computer methods and programs in biomedicine May 4, 2018
BACKGROUND: Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the decision procedure of healthcare activities. Well-developed information infrastructure, such as hospit...
Humans Models, Statistical Bayes Theorem Information Storage and Retrieval Clinical Decision-Making Deep Learning Support Vector Machine Medicine, Chinese Traditional Algorithms Computer Simulation Electronic Health Records
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Evaluation of machine learning algorithms for improved risk assessment for Down's syndrome.

Computers in biology and medicine May 4, 2018
Prenatal screening generates a great amount of data that is used for predicting risk of various disorders. Prenatal risk assessment is based on multiple clinical variables and overall performance is defined by how well the risk algorithm is optimized...
ROC Curve Humans Support Vector Machine Female Models, Statistical Neural Networks, Computer Prenatal Diagnosis Down Syndrome Machine Learning Adult Algorithms Risk Assessment Pregnancy
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Understanding and diagnosing the potential for bias when using machine learning methods with doubly robust causal estimators.

Statistical methods in medical research May 2, 2018
Data-adaptive methods have been proposed to estimate nuisance parameters when using doubly robust semiparametric methods for estimating marginal causal effects. However, in the presence of near practical positivity violations, these methods can produ...
Models, Statistical Bias Probability Propensity Score Humans Machine Learning Causality
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Drug Repositioning by Integrating Known Disease-Gene and Drug-Target Associations in a Semi-supervised Learning Model.

Acta biotheoretica Apr 26, 2018
Computational drug repositioning has been proven as a promising and efficient strategy for discovering new uses from existing drugs. To achieve this goal, a number of computational methods have been proposed, which are based on different data sources...
Pharmacology Drug Therapy Pharmacy Reproducibility of Results Computational Biology Models, Statistical Drug Repositioning Area Under Curve Pharmaceutical Preparations Supervised Machine Learning Humans Software
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An intelligent algorithm for identification of optimum mix of demographic features for trust in medical centers in Iran.

Artificial intelligence in medicine Apr 26, 2018
Healthcare quality is affected by various factors including trust. Patients' trust to healthcare providers is one of the most important factors for treatment outcomes. The presented study identifies optimum mixture of patient demographic features wit...
Uncertainty Patient Acceptance of Health Care Humans Iran Delivery of Health Care Income Female Patients Reproducibility of Results Severity of Illness Index Age Factors Male Surveys and Questionnaires Educational Status Fuzzy Logic Trust Adolescent Young Adult Models, Statistical Socioeconomic Factors Adult Physician-Patient Relations Middle Aged Hospitals
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Accurate prediction of Gram-negative bacterial secreted protein types by fusing multiple statistical features from PSI-BLAST profile.

SAR and QSAR in environmental research Apr 24, 2018
Gram-negative bacterial secreted proteins play different roles in invaded eukaryotic cells and cause various diseases. Prediction of Gram-negative bacterial secreted protein types is a meaningful and challenging task. In this paper, we develop a mult...
Support Vector Machine Models, Statistical Structure-Activity Relationship Bacterial Proteins Dipeptides Gram-Negative Bacteria
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Unsupervised versus Supervised Identification of Prognostic Factors in Patients with Localized Retroperitoneal Sarcoma: A Data Clustering and Mahalanobis Distance Approach.

BioMed research international Apr 23, 2018
The aim of this report is to unveil specific prognostic factors for retroperitoneal sarcoma (RPS) patients by univariate and multivariate statistical techniques. A phase I-II study on localized RPS treated with high-dose ifosfamide and radiotherapy f...
Machine Learning Clinical Trials as Topic Prognosis Multivariate Analysis Cluster Analysis Adult Humans Female Retroperitoneal Neoplasms Models, Statistical Male Aged Sarcoma Middle Aged Disease-Free Survival Cohort Studies
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A machine learning model to determine the accuracy of variant calls in capture-based next generation sequencing.

BMC genomics Apr 17, 2018
BACKGROUND: Next generation sequencing (NGS) has become a common technology for clinical genetic tests. The quality of NGS calls varies widely and is influenced by features like reference sequence characteristics, read depth, and mapping accuracy. Wi...
Genetic Variation High-Throughput Nucleotide Sequencing Base Sequence Machine Learning Models, Statistical
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Predicting Hospital Readmission via Cost-Sensitive Deep Learning.

IEEE/ACM transactions on computational biology and bioinformatics Apr 16, 2018
With increased use of electronic medical records (EMRs), data mining on medical data has great potential to improve the quality of hospital treatment and increase the survival rate of patients. Early readmission prediction enables early intervention,...
ROC Curve Models, Statistical Data Mining Patient Readmission Humans Algorithms Electronic Health Records Deep Learning
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Calibration Drift Among Regression and Machine Learning Models for Hospital Mortality.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Advanced regression and machine learning models can provide personalized risk predictions to support clinical decision-making. We aimed to understand whether modeling methods impact the tendency of calibration to deteriorate as patient populations sh...
Logistic Models Risk Hospitals, Veterans United States Female Area Under Curve Humans Models, Statistical Adult Calibration Neural Networks, Computer Male Proportional Hazards Models Machine Learning Hospital Mortality United States Department of Veterans Affairs
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