Humans

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Assessment of Functional Phosphatidylinositol 3-Kinase Pathway Activity in Cancer Tissue Using Forkhead Box-O Target Gene Expression in a Knowledge-Based Computational Model.

The American journal of pathology Jul 6, 2018
The phosphatidylinositol 3-kinase (PI3K) pathway is commonly activated in cancer. Tumors are potentially sensitive to PI3K pathway inhibitors, but reliable diagnostic tests that assess functional PI3K activity are lacking. Because PI3K pathway activi...
Humans Cell Proliferation Female Gene Expression Profiling Knowledge Bases Breast Neoplasms Phosphorylation Computational Biology Diagnostic Tests, Routine Phosphatidylinositol 3-Kinases Superoxide Dismutase Forkhead Transcription Factors
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Development and Application of a Machine Learning Approach to Assess Short-term Mortality Risk Among Patients With Cancer Starting Chemotherapy.

JAMA network open Jul 6, 2018
IMPORTANCE: Patients with cancer who die soon after starting chemotherapy incur costs of treatment without the benefits. Accurately predicting mortality risk before administering chemotherapy is important, but few patient data-driven tools exist.
Risk Assessment Neoplasms Cohort Studies Retrospective Studies Humans Female Machine Learning Time Factors Male Prognosis Middle Aged
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Future Direction for Using Artificial Intelligence to Predict and Manage Hypertension.

Current hypertension reports Jul 6, 2018
PURPOSE OF REVIEW: Evidence that artificial intelligence (AI) is useful for predicting risk factors for hypertension and its management is emerging. However, we are far from harnessing the innovative AI tools to predict these risk factors for hyperte...
Precision Medicine Biomedical Research Hypertension Humans Disease Management Artificial Intelligence Practice Guidelines as Topic
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Lupus nephritis pathology prediction with clinical indices.

Scientific reports Jul 6, 2018
Effective treatment of lupus nephritis and assessment of patient prognosis depend on accurate pathological classification and careful use of acute and chronic pathological indices. Renal biopsy can provide most reliable predicting power. However, cli...
Humans Machine Learning Biopsy Adult Proteinuria Male Prognosis Models, Statistical Retrospective Studies Lupus Nephritis Female
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Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation.

BMC medical informatics and decision making Jul 6, 2018
BACKGROUND: The use of knowledge models facilitates information retrieval, knowledge base development, and therefore supports new knowledge discovery that ultimately enables decision support applications. Most existing works have employed machine lea...
(1)
Data Mining Semantics Unified Medical Language System Humans Big Data Models, Theoretical Natural Language Processing Diagnostic Imaging
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[Expert systems-urgently needed for early diagnosis of sepsis : Results of retrospective clinical validation of the expert system FLORIDA].

Medizinische Klinik, Intensivmedizin und Notfallmedizin Jul 5, 2018
The expert system FLORIDA (Fuzzy Logic Orientated Rule Interpreter for Diagnostic Applications) is equipped with a knowledge base applying linguistic rules of clinical experts according to the pathophysiologic conception of the sepsis-3 definition an...
Expert Systems Early Diagnosis Florida Humans Prospective Studies Retrospective Studies Sepsis
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Minimally Invasive Surgical Approach for Posterior Tracheopexy to Treat Severe Tracheomalacia: Lessons Learned from Initial Case Series.

Journal of laparoendoscopic & advanced surgical techniques. Part A Jul 5, 2018
Posterior tracheopexy directly addresses membranous tracheal intrusion in severe tracheomalacia (TM). We have previously reported our experience of posterior tracheopexy through open approach in a large series of patients. This study aimed to review...
Humans Trachea Child Retrospective Studies Tracheomalacia Robotics Female Severity of Illness Index Thoracic Surgery, Video-Assisted Adolescent Young Adult Postoperative Period Child, Preschool Male Infant
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Extending PubMed searches to ClinicalTrials.gov through a machine learning approach for systematic reviews.

Journal of clinical epidemiology Jul 5, 2018
OBJECTIVES: Despite their essential role in collecting and organizing published medical literature, indexed search engines are unable to cover all relevant knowledge. Hence, current literature recommends the inclusion of clinical trial registries in ...
(1)
Clinical Trials as Topic Search Engine PubMed Data Mining Information Storage and Retrieval Machine Learning Sensitivity and Specificity Systematic Reviews as Topic Humans Meta-Analysis as Topic
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Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm.

Annals of surgical oncology Jul 5, 2018
OBJECTIVES: In the postneoadjuvant chemotherapy (NAC) setting, conventional radiographic complete response (rCR) is a poor predictor of pathologic complete response (pCR) of the axilla. We developed a convolutional neural network (CNN) algorithm to b...
Aged, 80 and over Young Adult Adult Survival Rate Retrospective Studies Female Aged ROC Curve Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Follow-Up Studies Breast Neoplasms Biomarkers, Tumor Middle Aged Humans Neural Networks, Computer Algorithms Prognosis Carcinoma, Lobular Receptor, ErbB-2 Carcinoma, Ductal, Breast Receptors, Estrogen Chemotherapy, Adjuvant Magnetic Resonance Imaging Neoplasm Invasiveness Axilla
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Hierarchical deep convolutional neural networks combine spectral and spatial information for highly accurate Raman-microscopy-based cytopathology.

Journal of biophotonics Jul 5, 2018
Hierarchical variants of so-called deep convolutional neural networks (DCNNs) have facilitated breakthrough results for numerous pattern recognition tasks in recent years. We assess the potential of these novel whole-image classifiers for Raman-micro...
Neural Networks, Computer Microscopy Urinalysis Pathology Humans
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