AIMC Topic: New York

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Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?

The Journal of arthroplasty Jun 3, 2019
BACKGROUND: Recent advances in machine learning have given rise to deep learning, which uses hierarchical layers to build models, offering the ability to advance value-based healthcare by better predicting patient outcomes and costs of a given treatm...
Male Middle Aged Infant Deep Learning Adolescent Female Infant, Newborn Aged Young Adult Adult Outcome Assessment, Health Care Humans Arthroplasty, Replacement, Knee Neural Networks, Computer New York Databases, Factual Child, Preschool Arthroplasty, Replacement, Hip Child Orthopedic Procedures ROC Curve Orthopedics Lower Extremity Inpatients
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A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
Humans Health Personnel Middle Aged Surveys and Questionnaires Adolescent Natural Language Processing Confidentiality Informed Consent Female Young Adult Adult Biomedical Research Male Information Dissemination Academic Medical Centers New York Patient Participation
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Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
Surveys and Questionnaires Natural Language Processing Confidentiality Data Anonymization Female Information Dissemination Adult Databases as Topic Biomedical Research Humans New York Male Patient Participation Deep Learning
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Widespread occurrence of glyphosate in urine from pet dogs and cats in New York State, USA.

The Science of the total environment Dec 31, 2018
Glyphosate is one of the most widely used herbicides in the United States, which has led to its ubiquitous occurrence in food and water and regular detection in human urine at concentrations of 1-10 μg/L. Data pertaining to health risks arising from ...
Dogs Female Cats Glycine Animals Glyphosate Sex Factors Male Herbicides Age Factors New York Environmental Pollutants
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Space-time trends of PM constituents in the conterminous United States estimated by a machine learning approach, 2005-2015.

Environment international Nov 7, 2018
Particulate matter with aerodynamic diameter less than 2.5 μm (PM) is a complex mixture of chemical constituents emitted from various emission sources or through secondary reactions/processes; however, PM is regulated mostly based on its total mass c...
California Nitrogen Oxides Transportation Environmental Monitoring Carbon Air Pollutants Particulate Matter New York Humans Machine Learning Cities United States
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Discovering and identifying New York heart association classification from electronic health records.

BMC medical informatics and decision making Jul 23, 2018
BACKGROUND: Cardiac Resynchronization Therapy (CRT) is an established pacing therapy for heart failure patients. The New York Heart Association (NYHA) class is often used as a measure of a patient's response to CRT. Identifying NYHA class for heart f...
Disease Progression Treatment Outcome Natural Language Processing Heart Failure Cardiac Resynchronization Therapy New York Electronic Health Records Female Aged Male Middle Aged Humans Machine Learning
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Estimating Local Costs Associated With Clostridium difficile Infection Using Machine Learning and Electronic Medical Records.

Infection control and hospital epidemiology Nov 6, 2017
BACKGROUND Reported per-patient costs of Clostridium difficile infection (CDI) vary by 2 orders of magnitude among different hospitals, implying that infection control officers need precise, local analyses to guide rational decision making between in...
Propensity Score Clostridioides difficile Health Care Costs Young Adult Adult Male Middle Aged Length of Stay New York Cross Infection Clostridium Infections Adolescent Retrospective Studies Humans Logistic Models Electronic Health Records Machine Learning Tertiary Care Centers Female Aged Aged, 80 and over
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Analysis of the Transperitoneal Approach to Robot-Assisted Laparoscopic Partial Nephrectomy for the Treatment of Anterior and Posterior Renal Masses.

Journal of laparoendoscopic & advanced surgical techniques. Part A Sep 14, 2015
OBJECTIVE: Few studies have directly assessed the impact of tumor anterior/posterior location during transperitoneal robotic-assisted laparoscopic partial nephrectomy (TPRPN). The present study sought to assess perioperative and pathological outcomes...
Female Male Middle Aged Postoperative Complications Length of Stay Robotics Laparoscopy New York Incidence Treatment Outcome Operative Time Humans Peritoneum Kidney Neoplasms Nephrectomy
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A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases.

Journal of biomedical informatics Aug 1, 2015
Automated phenotype identification plays a critical role in cohort selection and bioinformatics data mining. Natural Language Processing (NLP)-informed classification techniques can robustly identify phenotypes in unstructured medical notes. In this ...
Natural Language Processing Data Mining New York Pattern Recognition, Automated Diagnosis, Computer-Assisted Decision Support Systems, Clinical Diabetes Mellitus Support Vector Machine Obesity Humans Reproducibility of Results Phenotype Sensitivity and Specificity Electronic Health Records Cardiovascular Diseases
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Annotating risk factors for heart disease in clinical narratives for diabetic patients.

Journal of biomedical informatics May 21, 2015
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on identifying risk factors for heart disease (specifically, Cardiac Artery Disease) in clinical narratives. For this track, we used a "light" annotation paradigm...
Coronary Artery Disease Confidentiality Humans Aged Data Mining Electronic Health Records Incidence Male Pattern Recognition, Automated Documentation Female Middle Aged Cohort Studies Computer Security New York Risk Assessment Longitudinal Studies Vocabulary, Controlled Comorbidity Narration Diabetes Complications Natural Language Processing Boston
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