classification

Histologic pattern is better correlated with clinical outcomes than biochemical classification in patients with drug-induced liver injury

Histologic pattern is better correlated with clinical outcomes than biochemical classification in patients with drug-induced liver injury Source link

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Researchers use AI to establish molecular tumor classification and prognosis in patients with colorectal cancer

Treating physicians need information about the molecular subtype of the tumor if they are to provide targeted therapy for colorectal carcinoma. A research team from University Hospital Zurich and the...

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Researchers use artificial intelligence to predict molecular classification of colorectal cancer

Treating physicians need information about the molecular subtype of the tumor if they are to provide targeted therapy for colorectal carcinoma. Source link

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Classification of atherothrombotic events in myocardial infarctions survivors with supervised machine learning using data from an electronic health record system

Kunz, H; Pasea, L; Denaxas, S; (2019) Classification of atherothrombotic events in myocardial infarctions survivors with supervised machine learning using data from an electronic health record system. In: International Conference...

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Automatic classification of IgA endomysial antibody test for celiac disease: a new method deploying machine learning

Automatic classification of IgA endomysial antibody test for celiac disease: a new method deploying machine learning Source link

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An adaptive nearest neighbor rule for classification. (arXiv:1905.12717v1 [cs.LG])

We introduce a variant of the $k$-nearest neighbor classifier in which $k$ is chosen adaptively for each query, rather than supplied as a parameter. The choice of $k$ depends on...

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Generation of a Core Set of Items to Develop Classification Criteria for Scleroderma Renal Crisis Using Consensus Methodology

Butler, EA; Baron, M; Fogo, AB; Frech, T; Ghossein, C; Hachulla, E; Hoa, S; ... Walker, UA; + view all Butler, EA; Baron, M; Fogo, AB; Frech, T; Ghossein, C;...

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Classification system based on co-occurring conditions may provide insight into autism

Creating a classification system for autism spectrum disorder (ASD) based on co-occurring conditions could provide useful insights into the underlying mechanics of ASD and these conditions. Source link

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Classification system based on co-occurring conditions may provide insight into autism

Children with autism spectrum disorder (ASD) are often affected by co-occurring conditions, such as epilepsy, immune disorders, gastrointestinal problems, and developmental delays. According to research published today in Autism Research,...

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Classification of benign and malignant lung nodules from CT images based on hybrid features.

Related Articles Classification of benign and malignant lung nodules from CT images based on hybrid features. Phys Med Biol. 2019 May 29;: Authors: Zhang G, Yang Z, Gong L, Jiang...

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Building of Robust and Interpretable QSAR Classification Models by Means of the Rivality Index.

Related Articles Building of Robust and Interpretable QSAR Classification Models by Means of the Rivality Index. J Chem Inf Model. 2019 May 28;: Authors: Luque Ruiz I, Gómez-Nieto MÁ Abstract...

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Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System: A Pilot Study in Schizophrenia Patients.

Related Articles Predicting Affect Classification in Mental Status Examination Using Machine Learning Face Action Recognition System: A Pilot Study in Schizophrenia Patients. Front Psychiatry. 2019;10:288 Authors: Barzilay R, Israel N,...

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Deep learning for supervised classification of spatial epidemics.

Related Articles Deep learning for supervised classification of spatial epidemics. Spat Spatiotemporal Epidemiol. 2019 Jun;29:187-198 Authors: Augusta C, Deardon R, Taylor G Abstract In an emerging epidemic, public health officials...

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Classification of skin lesions using transfer learning and augmentation with Alex-net.

Related Articles Classification of skin lesions using transfer learning and augmentation with Alex-net. PLoS One. 2019;14(5):e0217293 Authors: Hosny KM, Kassem MA, Foaud MM Abstract Skin cancer is one of most...

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Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes.

Related Articles Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes. J Med Internet Res. 2019 May 01;21(5):e11030 Authors: Woldaregay AZ, Årsand E, Botsis T,...

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Identifying Children With Clinical Language Disorder: An Application of Machine-Learning Classification.

Related Articles Identifying Children With Clinical Language Disorder: An Application of Machine-Learning Classification. J Learn Disabil. 2019 May 07;:22219419845070 Authors: Justice LM, Ahn WY, Logan JAR Abstract In this study,...

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Rate-accuracy trade-off in video classification with deep convolutional neural networks

Abbas, A; Chadha, A; Andreopoulos, Y; Jubran, M; (2018) Rate-accuracy trade-off in video classification with deep convolutional neural networks. In: (Proceedings) 2018 25th IEEE International Conference on Image Processing (ICIP)....

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[Pulmonary Hypertension: Diagnostics, Classification and Therapy].

[ad_1] Related Articles [Pulmonary Hypertension: Diagnostics, Classification and Therapy]. Anasthesiol Intensivmed Notfallmed Schmerzther. 2019 May;54(5):320-333 Authors: Lücke E, Schmeißer A, Schreiber J Abstract Pulmonary hypertension is a chronic, incurable disease...

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How to Develop a Convolutional Neural Network From Scratch for CIFAR-10 Photo Classification

[ad_1] The CIFAR-10 small photo classification problem is a standard dataset used in computer vision and deep learning. Although the dataset is effectively solved, it can be used as the...

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How to Develop a Deep Convolutional Neural Network From Scratch for Fashion MNIST Clothing Classification

[ad_1] The Fashion-MNIST clothing classification problem is a new standard dataset used in computer vision and deep learning. Although the dataset is relatively simple, it can be used as the...

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