AIMC Topic: Respiratory Distress Syndrome

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Deep CNN Sparse Coding for Real Time Inhaler Sounds Classification.

Sensors (Basel, Switzerland) Apr 21, 2020
Effective management of chronic constrictive pulmonary conditions lies in proper and timely administration of medication. As a series of studies indicates, medication adherence can effectively be monitored by successfully identifying actions performe...
Humans Neural Networks, Computer Medication Adherence Respiratory Distress Syndrome Sound Nebulizers and Vaporizers Metered Dose Inhalers Female Young Adult Adult Male
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Towards Reliable ARDS Clinical Decision Support: ARDS Patient Analytics with Free-text and Structured EMR Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Mar 4, 2020
In this work, we utilize a combination of free-text and structured data to build Acute Respiratory Distress Syndrome(ARDS) prediction models and ARDS phenotype clusters. We derived 'Patient Context Vectors' representing patientspecific contextual ARD...
Humans Prognosis Electronic Health Records Risk Factors Hospitalization Comorbidity Deep Learning Decision Support Systems, Clinical Respiratory Distress Syndrome Medical History Taking
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Multi-resolution convolutional neural networks for fully automated segmentation of acutely injured lungs in multiple species.

Medical image analysis Nov 7, 2019
Segmentation of lungs with acute respiratory distress syndrome (ARDS) is a challenging task due to diffuse opacification in dependent regions which results in little to no contrast at the lung boundary. For segmentation of severely injured lungs, loc...
Pattern Recognition, Automated Sheep, Domestic Disease Models, Animal Respiratory Distress Syndrome Dogs Datasets as Topic Humans Neural Networks, Computer Tomography, X-Ray Computed Animals Swine Deep Learning
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Predictive model for acute respiratory distress syndrome events in ICU patients in China using machine learning algorithms: a secondary analysis of a cohort study.

Journal of translational medicine Oct 1, 2019
BACKGROUND: To develop a machine learning model for predicting acute respiratory distress syndrome (ARDS) events through commonly available parameters, including baseline characteristics and clinical and laboratory parameters.
Humans Machine Learning Algorithms Models, Theoretical Middle Aged Respiratory Distress Syndrome China Cohort Studies Intensive Care Units ROC Curve Female Aged Male
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Dynamic multi-outcome prediction after injury: Applying adaptive machine learning for precision medicine in trauma.

PloS one Apr 10, 2019
OBJECTIVE: Machine learning techniques have demonstrated superior discrimination compared to conventional statistical approaches in predicting trauma death. The objective of this study is to evaluate whether machine learning algorithms can be used to...
Multiple Organ Failure Female Decision Support Techniques Models, Biological Adult Prospective Studies ROC Curve Venous Thromboembolism Male Prognosis Risk Assessment Blood Transfusion Humans Wounds and Injuries Middle Aged Clinical Decision-Making Respiratory Distress Syndrome Machine Learning Time Factors
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Heterogeneous effects of alveolar recruitment in acute respiratory distress syndrome: a machine learning reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial.

British journal of anaesthesia Apr 5, 2019
BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration were associated with harm in the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial (ART). We sought to investigate the potential heterog...
Male Middle Aged Adolescent Hospital Mortality Aged Aged, 80 and over Young Adult Adult Pulmonary Alveoli Clinical Protocols Cluster Analysis Respiratory Distress Syndrome Positive-Pressure Respiration Bayes Theorem Humans Machine Learning Female
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Machine learning for patient risk stratification for acute respiratory distress syndrome.

PloS one Mar 28, 2019
BACKGROUND: Existing prediction models for acute respiratory distress syndrome (ARDS) require manual chart abstraction and have only fair performance-limiting their suitability for driving clinical interventions. We sought to develop a machine learni...
Male Middle Aged Risk Assessment Respiratory Distress Syndrome Models, Statistical Humans Machine Learning Female Aged
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Prediction and evaluation of the severity of acute respiratory distress syndrome following severe acute pancreatitis using an artificial neural network algorithm model.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 24, 2018
BACKGROUND: To predict the risk and severity of acute respiratory distress syndrome (ARDS) following severe acute pancreatitis (SAP) by artificial neural networks (ANNs) model.
Severity of Illness Index Prognosis Respiratory Distress Syndrome Adult Humans Female Predictive Value of Tests Male Reproducibility of Results Pancreatitis Neural Networks, Computer Middle Aged Risk Factors Decision Support Techniques Risk Assessment
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A Computable Phenotype for Acute Respiratory Distress Syndrome Using Natural Language Processing and Machine Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Acute Respiratory Distress Syndrome (ARDS) is a syndrome of respiratory failure that may be identified using text from radiology reports. The objective of this study was to determine whether natural language processing (NLP) with machine learning per...
Diagnosis, Computer-Assisted Unified Medical Language System Aged Length of Stay Radiography, Thoracic Adult Predictive Value of Tests Cohort Studies Humans Male Natural Language Processing Respiratory Distress Syndrome Electronic Health Records Middle Aged Area Under Curve Female Supervised Machine Learning Risk Factors
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Creating Clinical Fuzzy Automata with Fuzzy Arden Syntax.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Formal constructs for fuzzy sets and fuzzy logic are incorporated into Arden Syntax version 2.9 (Fuzzy Arden Syntax). With fuzzy sets, the relationships between measured or observed data and linguistic terms are expressed as degrees of compatibility ...
Fuzzy Logic Respiratory Distress Syndrome Programming Languages Humans Linguistics Software Software Design
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