[PDF] Top 20 <p>An automatic diagnostic system based on deep learning, to diagnose hyperlipidemia</p>
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<p>An automatic diagnostic system based on deep learning, to diagnose hyperlipidemia</p>
... traditional automatic diagnosis methods relied on: 1) patients described their clinical manifestation; 2) researchers extracted features by experience and coded these features to form eigenvector; 3) classi fi ... See full document
9
Automatic Learning Technology of Railway Based on Deep Learning for Railway Obstacle Avoidance
... machine learning and deep learning theory effectively, creating a precedent in the field of deep learning, and proposes a series of classical algorithms such as selective search ... See full document
6
Research Review and Prospect of Fault Diagnosis Method of Satellite Power System Based on Machine Learning
... expert system uses the knowledge of experts in the field to simulate human fault diagnosis, but it has some drawbacks, which means that the expert knowledge is not comprehensive and has ...limitations. Deep ... See full document
7
Learning to Diagnose: Assimilating Clinical Narratives using Deep Reinforcement Learning
... using deep reinforcement learning via leveraging evidence from external ...DBrain system learns to diagnose by digesting clinical narratives sentence by sen- tence and achieves better results ... See full document
11
Phonocardiographic sensing using deep learning for abnormal heartbeat detection
... Abstract—Deep learning based cardiac auscultation is of signif- icant interest to the healthcare community as it can help reducing the burden of manual auscultation with automated detection of ... See full document
8
<p>Machine learning techniques in a structural and functional MRI diagnostic approach in schizophrenia: a systematic review</p>
... multi-atlas based whole-brain fcMRI in the multivariate pattern analysis, which measures FC of the same image in different spaces of multiple ...a deep discriminant autoencoder network with sparsity ... See full document
23
Comparing a Hand crafted to an Automatically Generated Feature Set for Deep Learning: Pairwise Translation Evaluation
... methods are the BLEU score (Papineni et al., 2002), TER (Snover et al., 2006), METEOR (Lavie and Agarwal, 2007) etc. Zechner and Wai- bel 2000 introduced the word error rate (WER), a lexical similarity metric. WER uses ... See full document
9
Research on Automatic Writing of Football News based on Deep Learning
... The system can’t identify important information point game Intuitively as a professional editor at the present ...machine learning algorithm to learn the contact and difference between critical and ... See full document
10
Diagnosis of Coronary Artery Disease via a Novel Fuzzy Expert System Optimized by Cuckoo Search
... support system based on fuzzy rules ...rule-based system based on neuro-fuzzy classifier optimized by conjugate gradient algorithm ...proposed system has been achieved 84% ... See full document
9
Automatic Fuzzy License Plate Recognition Based on Deep Learning
... recognition system, but most of these license plate recognition systems can only identify simple restricted scenes, such as parking lots, traffic signs and other ...segmentation based on prior knowledge, ... See full document
8
1. Survey and high level design of activity monitoring for icu patients
... of deep learning has paved way for many real time applications due its self-learning ...capability. Deep leaning merged with image processing provides excellent framework for vision ... See full document
6
Deep Traffic learning: An automatic vehicle speed assisting tool based on the varying traffic conditions to ensure a safe driving
... monitoring system for driving automation to ensure safe ...multitask deep convolutional network, that at the same time detects the presence of the target and the geometric attributes (location and ... See full document
6
<p>Deep Learning-Based Method of Diagnosing Hyperlipidemia and Providing Diagnostic Markers Automatically</p>
... disease diagnostic markers while diagnosing ...of diagnostic markers, which can effectively re fl ect the importance of different physiological parameters for disease ...judged hyperlipidemia ... See full document
13
<p>Deep Venous Thrombosis in a Patient with a Moderate Pretest Probability and a Negative D-Dimer Test: A Review of the Diagnostic Algorithms</p>
... Because of the somewhat vague symptoms and Xarelto, the assessment of having DVT was less plausible. The pit- ting edema received 1 point and despite there was no full leg swelling, but 1 point was also given for this ... See full document
12
<p>Role of problem-based learning in undergraduate dental education: a questionnaire-based study</p>
... The present results showed a lack of awareness among stu- dents with reference to PBL educational strategy. For example, there was no statistically significant difference in the responses of students from all the ... See full document
6
<p>Statin and metformin therapy in prostate cancer patients with hyperlipidemia who underwent radiotherapy: a population-based cohort study</p>
... To the best of our knowledge, this is the first retrospective study that evaluated if the use of statins and/or metformin improved survival in Taiwanese prostate cancer patients who had hyperlipidemia and received ... See full document
9
Heterogeneous Deep Model Fusion for Automatic Modulation Classification
... Keywords: Deep learning; automatic modulation classification; classifier fusion; convolutional.. 25.[r] ... See full document
14
A Compression based BiLSTM for Treating Teenagers’ Depression Chatbot
... interaction system derived from Chat Robot that allows users to participate in a conversational experience through text input, which can be used on web browsers, mobile devices and chat ...and deep ... See full document
7
Multiple Object Tracking, Learning and Detection Using P-N Learning Template Matching
... technique based on data association algorithm in multi object tracking environment provides better result in combination with multi feature fusion ...makes system work hard in real time multi object ... See full document
6
Deep Auto-Encoder Neural Network for Phishing Website Classification
... Abstract— In this paper, deep auto-encoder technique proposed for website phishing classification problem. The dataset obtained from UCI which contain most common machine learning datasets. The obtained ... See full document
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