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Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network.

Physical and engineering sciences in medicine Feb 11, 2020
Given the patient to doctor ratio of 50,000:1 in low income and middle-income countries, there is a need for automated heart sound classification system that can screen the Phonocardiogram (PCG) records in real-time. This paper proposes deep neural n...
Humans Area Under Curve Neural Networks, Computer Heart Sounds ROC Curve Phonocardiography Models, Theoretical
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Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy.

Critical care (London, England) Feb 6, 2020
BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) scoring systems do not adequately predict mortality of patients undergoing co...
Humans Machine Learning Female Risk Factors Aged Aged, 80 and over Male Algorithms Continuous Renal Replacement Therapy Acute Kidney Injury Republic of Korea APACHE Organ Dysfunction Scores Middle Aged Mortality Severity of Illness Index ROC Curve Area Under Curve
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Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach.

BMC medical informatics and decision making Feb 6, 2020
BACKGROUND: A common problem in machine learning applications is availability of data at the point of decision making. The aim of the present study was to use routine data readily available at admission to predict aspects relevant to the organization...
Germany Hospitals, Psychiatric Humans Male Middle Aged ROC Curve Electronic Health Records Logistic Models Machine Learning Female Hospitalization Decision Support Techniques Databases, Factual Aged Prognosis Adult
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DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening.

Genomics, proteomics & bioinformatics Feb 6, 2020
Accurate identification of compound-protein interactions (CPIs) in silico may deepen our understanding of the underlying mechanisms of drug action and thus remarkably facilitate drug discovery and development. Conventional similarity- or docking-base...
Area Under Curve Deep Learning User-Computer Interface Pharmaceutical Preparations ROC Curve Databases, Chemical Proteins
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Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission.

JAMA network open Feb 5, 2020
IMPORTANCE: The ability to accurately predict in-hospital mortality for patients at the time of admission could improve clinical and operational decision-making and outcomes. Few of the machine learning models that have been developed to predict in-h...
Models, Biological Hospitals, Teaching Hospitals Hospital Mortality ROC Curve Area Under Curve Electronic Health Records Female Hospitalization Aged Male Middle Aged Risk Assessment Aged, 80 and over Forecasting Adult Prospective Studies Prognosis Retrospective Studies Humans Machine Learning
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Machine learning for syndromic surveillance using veterinary necropsy reports.

PloS one Feb 5, 2020
The use of natural language data for animal population surveillance represents a valuable opportunity to gather information about potential disease outbreaks, emerging zoonotic diseases, or bioterrorism threats. In this study, we evaluate machine lea...
Animals Deep Learning Supervised Machine Learning Machine Learning Area Under Curve Gastrointestinal Diseases ROC Curve Urologic Diseases Logistic Models Lung Diseases
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Virtual genetic diagnosis for familial hypercholesterolemia powered by machine learning.

European journal of preventive cardiology Feb 4, 2020
AIMS: Familial hypercholesterolemia (FH) is the most common genetic disorder of lipid metabolism. The gold standard for FH diagnosis is genetic testing, available, however, only in selected university hospitals. Clinical scores - for example, the Dut...
Female Risk Factors Male Virtual Reality DNA Mutation Genetic Testing ROC Curve Lipids Humans Machine Learning Hyperlipoproteinemia Type II DNA Mutational Analysis Heterozygote
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Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging.

Breast cancer research and treatment Feb 4, 2020
BACKGROUND AND PURPOSE: Multiparametric radiological imaging is vital for detection, characterization, and diagnosis of many different diseases. Radiomics provide quantitative metrics from radiological imaging that may infer potential biological mean...
Retrospective Studies Female Aged Aged, 80 and over Humans Machine Learning ROC Curve Radiology Young Adult Breast Adult Image Interpretation, Computer-Assisted Breast Neoplasms Multiparametric Magnetic Resonance Imaging Middle Aged
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Using artificial intelligence (AI) to predict postoperative surgical site infection: A retrospective cohort of 4046 posterior spinal fusions.

Clinical neurology and neurosurgery Feb 3, 2020
OBJECTIVES: Machine Learning and Artificial Intelligence (AI) are rapidly growing in capability and increasingly applied to model outcomes and complications within medicine. In spinal surgery, post-operative surgical site infections (SSIs) are a rare...
Surgical Wound Infection Female Clinical Decision Rules Neural Networks, Computer Male Artificial Intelligence Middle Aged ROC Curve Humans Machine Learning Comorbidity Area Under Curve Retrospective Studies Deep Learning Spinal Fusion Cohort Studies
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Application of a machine learning algorithm to predict malignancy in thyroid cytopathology.

Cancer cytopathology Feb 3, 2020
BACKGROUND: The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) comprises 6 categories used for the diagnosis of thyroid fine-needle aspiration biopsy (FNAB). Each category has an associated risk of malignancy, which is important in the ...
Biopsy, Fine-Needle Adenocarcinoma, Follicular Machine Learning Algorithms Reproducibility of Results Thyroid Gland Humans ROC Curve Thyroid Neoplasms Pathologists Thyroid Nodule Cytodiagnosis
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