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Predicting Risk of 30-Day Readmissions Using Two Emerging Machine Learning Methods.

Studies in health technology and informatics Jan 1, 2018
Decades-long research efforts have shown that Heart Failure (HF) is the most expensive diagnosis for hospitalizations and the most frequent diagnosis for 30-day readmissions. If risk stratification for readmission of HF patients could be carried out ...
Humans Machine Learning Forecasting Risk Assessment Hospitalization United States Patient Discharge Heart Failure Patient Readmission
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Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data.

IEEE journal of biomedical and health informatics Jan 1, 2018
Diet and physical activity are known as important lifestyle factors in self-management and prevention of many chronic diseases. Mobile sensors such as accelerometers have been used to measure physical activity or detect eating time. In many intervent...
Smartphone United States Natural Language Processing Eating Telemedicine Pattern Recognition, Automated Nutrition Policy United States Department of Agriculture Adult Nutrition Assessment Diet Adolescent Wearable Electronic Devices Humans Software Algorithms Young Adult
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Stories to Watch in 2018.

The American journal of nursing Jan 1, 2018
Computer Security Artificial Intelligence Electronic Health Records United States Marijuana Use Humans
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Postoperative neonatal mortality prediction using superlearning.

The Journal of surgical research Jan 1, 2018
BACKGROUND: The variable risks associated with neonatal surgery present a challenge to accurate mortality prediction. We aimed to apply superlearning, an ensemble machine learning method, to the prediction of 30-day neonatal postoperative mortality.
Humans Machine Learning Algorithms Female Models, Theoretical Infant Mortality Surgical Procedures, Operative Infant, Premature Infant, Newborn Male Infant United States
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Population-Based Analysis of Histologically Confirmed Melanocytic Proliferations Using Natural Language Processing.

JAMA dermatology Jan 1, 2018
IMPORTANCE: Population-based information on the distribution of histologic diagnoses associated with skin biopsies is unknown. Electronic medical records (EMRs) enable automated extraction of pathology report data to improve our epidemiologic underst...
Humans United States Cell Proliferation Natural Language Processing Aged Melanoma, Cutaneous Malignant Electronic Health Records SEER Program Adult Female Immunohistochemistry Cross-Sectional Studies Biopsy, Needle Male Melanoma Melanocytes Middle Aged Skin Neoplasms
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Comparison of Machine Learning Algorithms for the Prediction of Preventable Hospital Readmissions.

Journal for healthcare quality : official publication of the National Association for Healthcare Quality Jan 1, 2018
A diverse universe of statistical models in the literature aim to help hospitals understand the risk factors of their preventable readmissions. However, these models are usually not necessarily applicable in other contexts, fail to achieve good discr...
Female Risk Factors Aged Machine Learning United States Adult Humans Aged, 80 and over Algorithms Male Models, Statistical Young Adult Forecasting Middle Aged Patient Discharge Retrospective Studies Adolescent Patient Readmission Centers for Medicare and Medicaid Services, U.S.
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Increasing our knowledge base of asthma.

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology Dec 1, 2017
Humans Health Knowledge, Attitudes, Practice United States Phenotype Knowledge Bases Pulmonary Disease, Chronic Obstructive Patient Outcome Assessment Asthma Adrenal Cortex Hormones Animals
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Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study.

JAMA cardiology Nov 1, 2017
IMPORTANCE: Increased ability to quantify anatomical phenotypes across multiple organs provides the opportunity to assess their cumulative ability to identify individuals at greatest susceptibility for adverse outcomes.
Mortality Aorta Vascular Calcification Heart Valves Humans Cohort Studies Stroke Phenotype United States Myocardial Infarction Tomography, X-Ray Computed Male Longitudinal Studies Coronary Vessels Unsupervised Machine Learning Female Cardiovascular Diseases Proof of Concept Study Liver Adipose Tissue Aged Middle Aged Intra-Abdominal Fat Muscle, Skeletal Risk Assessment Principal Component Analysis Adult Cause of Death
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Calibration drift in regression and machine learning models for acute kidney injury.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2017
OBJECTIVE: Predictive analytics create opportunities to incorporate personalized risk estimates into clinical decision support. Models must be well calibrated to support decision-making, yet calibration deteriorates over time. This study explored the...
Female Aged Male Middle Aged Logistic Models United States Bayes Theorem Hospitals, Veterans Humans Machine Learning Decision Support Techniques Acute Kidney Injury Clinical Decision-Making
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Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2017
OBJECTIVE: As the US Food and Drug Administration (FDA) receives over a million adverse event reports associated with medication use every year, a system is needed to aid FDA safety evaluators in identifying reports most likely to demonstrate causal ...
Data Mining Machine Learning Models, Theoretical United States Food and Drug Administration ROC Curve Adverse Drug Reaction Reporting Systems Support Vector Machine Logistic Models Natural Language Processing United States Drug-Related Side Effects and Adverse Reactions
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