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Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.

PLoS computational biology Oct 11, 2021
Most predictive models based on gene expression data do not leverage information related to gene splicing, despite the fact that splicing is a fundamental feature of eukaryotic gene expression. Cigarette smoking is an important environmental risk fac...
Humans Female Aged Male RNA-Seq Computational Biology Models, Statistical Smoking Protein Isoforms Middle Aged Gene Expression Profiling Deep Learning ROC Curve Exons
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Artificial intelligence forecasting mortality at an intensive care unit and comparison to a logistic regression system.

Einstein (Sao Paulo, Brazil) Oct 11, 2021
OBJECTIVE: To explore an artificial intelligence approach based on gradient-boosted decision trees for prediction of all-cause mortality at an intensive care unit, comparing its performance to a recent logistic regression system in the literature, an...
Adult Hospital Mortality ROC Curve Logistic Models Humans Artificial Intelligence Machine Learning Intensive Care Units
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Music video emotion classification using slow-fast audio-video network and unsupervised feature representation.

Scientific reports Oct 6, 2021
Affective computing has suffered by the precise annotation because the emotions are highly subjective and vague. The music video emotion is complex due to the diverse textual, acoustic, and visual information which can take the form of lyrics, singer...
ROC Curve Machine Learning Models, Theoretical Databases, Factual Emotions Video Recording Music
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Investigation of a dysmorphic facial phenotype in patients with Gaucher disease types 2 and 3.

Molecular genetics and metabolism Oct 5, 2021
Gaucher disease (GD) is a rare lysosomal storage disorder that is divided into three subtypes based on presentation of neurological manifestations. Distinguishing between the types has important implications for treatment and counseling. Yet, patient...
ROC Curve Gaucher Disease Facial Recognition Musculoskeletal Abnormalities Infant, Newborn Young Adult Adult Male Cohort Studies Child, Preschool Child Infant Adolescent Artificial Intelligence Software Phenotype Humans Female
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A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization.

JAMA network open Oct 1, 2021
IMPORTANCE: Machine learning could be used to predict the likelihood of diagnosis and severity of illness. Lack of COVID-19 patient data has hindered the data science community in developing models to aid in the response to the pandemic.
Models, Statistical Area Under Curve Hospitalization Benchmarking Aged COVID-19 Testing Algorithms Aged, 80 and over Crowdsourcing Prognosis Young Adult Female Adolescent Infant, Newborn Child, Preschool Washington Humans Child Clinical Decision Rules Middle Aged Machine Learning ROC Curve Infant Adult COVID-19 Severity of Illness Index Male
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Artificial intelligence in the GPs office: a retrospective study on diagnostic accuracy.

Scandinavian journal of primary health care Sep 29, 2021
OBJECTIVE: Machine learning (ML) is expected to play an increasing role within primary health care (PHC) in coming years. No peer-reviewed studies exist that evaluate the diagnostic accuracy of ML models compared to general practitioners (GPs). The a...
Humans Artificial Intelligence Machine Learning Retrospective Studies ROC Curve General Practitioners
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Machine learning-based risk prediction of malignant arrhythmia in hospitalized patients with heart failure.

ESC heart failure Sep 28, 2021
AIMS: Predicting the risk of malignant arrhythmias (MA) in hospitalized patients with heart failure (HF) is challenging. Machine learning (ML) can handle a large volume of complex data more effectively than traditional statistical methods. This study...
ROC Curve Humans Logistic Models Machine Learning Female Heart Failure Arrhythmias, Cardiac
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Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor-stroma ratio.

Scientific reports Sep 28, 2021
The tumor-stroma ratio (TSR) determined by pathologists is subject to intra- and inter-observer variability. We aimed to develop a computational quantification method of TSR using deep learning-based virtual cytokeratin staining algorithms. Patients ...
Kaplan-Meier Estimate Stomach Keratins Neoplasm Staging Carcinoma Gastrectomy Observer Variation Humans Female Aged Adult Deep Learning ROC Curve Image Processing, Computer-Assisted Treatment Outcome Follow-Up Studies Stomach Neoplasms Male Middle Aged Risk Assessment
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Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.

BMC cancer Sep 26, 2021
BACKGROUND: Artificial intelligence (AI) is increasingly being used in medical imaging analysis. We aimed to evaluate the diagnostic accuracy of AI models used for detection of lymph node metastasis on pre-operative staging imaging for colorectal can...
Artificial Intelligence Tomography, X-Ray Computed Sensitivity and Specificity Colorectal Neoplasms Lymph Nodes Lymphatic Metastasis Magnetic Resonance Imaging Deep Learning ROC Curve Humans Publication Bias Bias Radiologists Rectal Neoplasms Preoperative Care
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Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams.

Nature communications Sep 24, 2021
Though consistently shown to detect mammographically occult cancers, breast ultrasound has been noted to have high false-positive rates. In this work, we present an AI system that achieves radiologist-level accuracy in identifying breast cancer in ul...
Mammography Radiologists Breast Female Reproducibility of Results Aged Adult Ultrasonography ROC Curve Early Detection of Cancer Breast Neoplasms Middle Aged Humans Artificial Intelligence Algorithms Retrospective Studies
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