AIMC Topic: ROC Curve

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Differentiating Small-Cell Lung Cancer From Non-Small-Cell Lung Cancer Brain Metastases Based on MRI Using Efficientnet and Transfer Learning Approach.

Technology in cancer research & treatment Jan 1, 2021
Differentiation between small-cell lung cancer (SCLC) from non-small-cell lung cancer (NSCLC) brain metastases is crucial due to the different clinical behaviors of the two tumor types. We propose the use of a deep learning and transfer learning appr...
Follow-Up Studies Magnetic Resonance Imaging Diagnosis, Differential Image Interpretation, Computer-Assisted Small Cell Lung Carcinoma Middle Aged ROC Curve Lung Neoplasms Carcinoma, Non-Small-Cell Lung Retrospective Studies Female Brain Neoplasms Male Humans Machine Learning Prognosis
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Prediction of Radiation Pneumonitis With Machine Learning in Stage III Lung Cancer: A Pilot Study.

Technology in cancer research & treatment Jan 1, 2021
BACKGROUND: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiotherapy (RT). As risk factors in the development of RP, patient and tumor characteristics, dosimetric parameters, and treatment features are intertwined, and it is...
Aged, 80 and over Adult Male Middle Aged Prognosis Female Risk Factors Aged Bayes Theorem Radiotherapy Radiation Pneumonitis Pilot Projects ROC Curve Lung Neoplasms Follow-Up Studies Neural Networks, Computer Machine Learning Algorithms Humans
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Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study.

The Lancet. Digital health Jan 1, 2021
BACKGROUND: In current approaches to vision screening in the community, a simple and efficient process is needed to identify individuals who should be referred to tertiary eye care centres for vision loss related to eye diseases. The emergence of dee...
Humans Algorithms Area Under Curve Middle Aged Singapore Deep Learning Asian People ROC Curve Eye Diseases Vision Disorders Female Aged Proof of Concept Study Sensitivity and Specificity Photography Male
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Deep Neural Networks for Epistatic Sequence Analysis.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
We report a step-by-step protocol to use pysster, a TensorFlow-based package for building deep neural networks on a broad range of epistatic sequences such as DNA, RNA, or annotated secondary structure sequences. Pysster provides users comprehensive ...
Base Sequence Epistasis, Genetic Sequence Analysis RNA Editing ROC Curve Models, Genetic RNA Datasets as Topic Humans Software Deep Learning
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Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding.

BMJ health & care informatics Jan 1, 2021
OBJECTIVE: Gastrointestinal (GI) bleeding commonly requires intensive care unit (ICU) in cases of potentialhaemodynamiccompromise or likely urgent intervention. However, manypatientsadmitted to the ICU stop bleeding and do not require further interve...
Female Male ROC Curve Blood Transfusion Gastrointestinal Hemorrhage Humans Artificial Intelligence Prospective Studies Intensive Care Units
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Detection of Asymptomatic Carotid Artery Stenosis in High-Risk Individuals of Stroke Using a Machine-Learning Algorithm.

Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih Dec 31, 2020
Objective Asymptomatic carotid stenosis (ACS) is closely associated to the incidence of severe cerebrovascular diseases. Early identifying the individuals with ACS and its associated risk factors could be beneficial for primary prevention of stroke. ...
Risk Factors Decision Trees Humans Male Stroke Machine Learning Middle Aged Carotid Stenosis Algorithms ROC Curve Female
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An approach to predicting patient experience through machine learning and social network analysis.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: Improving the patient experience has become an essential component of any healthcare system's performance metrics portfolio. In this study, we developed a machine learning model to predict a patient's response to the Hospital Consumer Asse...
Physician-Patient Relations Patient Satisfaction Patient Outcome Assessment Social Network Analysis ROC Curve Logistic Models Models, Statistical Decision Trees Machine Learning Female Electronic Health Records Male Surveys and Questionnaires Humans
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Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data.

Journal of the American Medical Informatics Association : JAMIA Dec 9, 2020
OBJECTIVE: In applying machine learning (ML) to electronic health record (EHR) data, many decisions must be made before any ML is applied; such preprocessing requires substantial effort and can be labor-intensive. As the role of ML in health care gro...
Humans Machine Learning Databases, Factual Intensive Care Units Hospital Mortality ROC Curve Data Management Electronic Health Records Risk Assessment Respiratory Insufficiency Data Mining Shock
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Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database.

Medicine Dec 4, 2020
Predicting unplanned rehospitalizations has traditionally employed logistic regression models. Machine learning (ML) methods have been introduced in health service research and may improve the prediction of health outcomes. The objective of this work...
Health Status Humans Sex Factors Age Factors Machine Learning Comorbidity Patient Readmission Emergency Service, Hospital Retrospective Studies Algorithms Severity of Illness Index France Female Tertiary Care Centers ROC Curve Male Socioeconomic Factors
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Impact of Confounding Thoracic Tubes and Pleural Dehiscence Extent on Artificial Intelligence Pneumothorax Detection in Chest Radiographs.

Investigative radiology Dec 1, 2020
OBJECTIVES: We hypothesized that published performances of algorithms for artificial intelligence (AI) pneumothorax (PTX) detection in chest radiographs (CXRs) do not sufficiently consider the influence of PTX size and confounding effects caused by t...
Cohort Studies ROC Curve Artificial Intelligence Image Processing, Computer-Assisted Humans Pleural Cavity Radiography, Thoracic Retrospective Studies Pneumothorax Female Case-Control Studies
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