AIMC Topic:
ROC Curve

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Deep Learning for Novel Antimicrobial Peptide Design.

Biomolecules Mar 22, 2021
Antimicrobial resistance is an increasing issue in healthcare as the overuse of antibacterial agents rises during the COVID-19 pandemic. The need for new antibiotics is high, while the arsenal of available agents is decreasing, especially for the tre...
Molecular Conformation Machine Learning Escherichia coli Protein Conformation, alpha-Helical Deep Learning Area Under Curve Pore Forming Cytotoxic Proteins ROC Curve Bayes Theorem Amino Acid Sequence
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Assessment of medication self-administration using artificial intelligence.

Nature medicine Mar 18, 2021
Errors in medication self-administration (MSA) lead to poor treatment adherence, increased hospitalizations and higher healthcare costs. These errors are particularly common when medication delivery involves devices such as inhalers or insulin pens. ...
Artificial Intelligence Aged Young Adult Adult Middle Aged Adolescent ROC Curve Pharmaceutical Preparations Humans Wireless Technology Nebulizers and Vaporizers Self Administration Insulin Infusion Systems
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Mixed-data deep learning in repeated predictions of general medicine length of stay: a derivation study.

Internal and emergency medicine Mar 16, 2021
The accurate prediction of likely discharges and estimates of length of stay (LOS) aid in effective hospital administration and help to prevent access block. Machine learning (ML) may be able to help with these tasks. For consecutive patients admitte...
Humans Deep Learning Length of Stay Time Factors Statistics as Topic ROC Curve Primary Health Care Logistic Models Area Under Curve
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Construction and validation of a machine learning-based nomogram: A tool to predict the risk of getting severe coronavirus disease 2019 (COVID-19).

Immunity, inflammation and disease Mar 13, 2021
BACKGROUND: Identifying patients who may develop severe coronavirus disease 2019 (COVID-19) will facilitate personalized treatment and optimize the distribution of medical resources.
Middle Aged Risk Assessment ROC Curve Logistic Models Adult Sensitivity and Specificity Male Nomograms Models, Theoretical Area Under Curve Calibration COVID-19 Decision Support Techniques Prospective Studies Retrospective Studies Female SARS-CoV-2 Risk Factors Aged Humans Machine Learning Pandemics
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A two-stage modeling approach for breast cancer survivability prediction.

International journal of medical informatics Mar 11, 2021
BACKGROUND: Despite the increasing number of studies in breast cancer survival prediction, there is little attention put toward deceased patients and their survival lengths. Moreover, developing a model that is both accurate and interpretable remains...
Breast Neoplasms ROC Curve Linear Models Humans Machine Learning Female
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Prediction of tau accumulation in prodromal Alzheimer's disease using an ensemble machine learning approach.

Scientific reports Mar 11, 2021
We developed machine learning (ML) algorithms to predict abnormal tau accumulation among patients with prodromal AD. We recruited 64 patients with prodromal AD using the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. Supervised ML approa...
Humans Machine Learning Algorithms Biomarkers Prodromal Symptoms Cognitive Dysfunction Female ROC Curve Aged Alzheimer Disease Male tau Proteins
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Automated remote decision-making algorithm as a primary triage system using machine learning techniques.

Physiological measurement Mar 11, 2021
OBJECTIVE: An objective and convenient primary triage procedure is needed for prioritizing patients who need help in mass casualty incident (MCI) situations, where there is a lack of medical staff and available resources. This study aimed to develop ...
Algorithms ROC Curve Triage Emergency Service, Hospital Humans Machine Learning
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A new rapid diagnostic system with ambient mass spectrometry and machine learning for colorectal liver metastasis.

BMC cancer Mar 10, 2021
BACKGROUND: Probe electrospray ionization-mass spectrometry (PESI-MS) can rapidly visualize mass spectra of small, surgically obtained tissue samples, and is a promising novel diagnostic tool when combined with machine learning which discriminates ma...
Middle Aged ROC Curve Liver Neoplasms Liver Adult Colorectal Neoplasms Male Chromatography, High Pressure Liquid Retrospective Studies Humans Spectrometry, Mass, Electrospray Ionization Female Machine Learning Aged Prospective Studies Aged, 80 and over
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Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data.

Korean journal of radiology Mar 9, 2021
OBJECTIVE: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables.
Middle Aged Severity of Illness Index ROC Curve Critical Illness Machine Learning SARS-CoV-2 Humans Male COVID-19 Retrospective Studies Tomography, X-Ray Computed
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A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.

BMC medical imaging Mar 9, 2021
OBJECTIVE: To investigate left atrial shape differences on CT scans of atrial fibrillation (AF) patients with (AF+) versus without (AF-) post-ablation recurrence and whether these shape differences predict AF recurrence.
ROC Curve Recurrence Humans Atrial Fibrillation Pulmonary Veins Machine Learning Aged Heart Atria Atrial Appendage Prognosis Male Catheter Ablation Retrospective Studies Middle Aged Female
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