AIMC Topic: Datasets as Topic

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2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
OBJECTIVE: This article summarizes the preparation, organization, evaluation, and results of Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on extraction of adverse drug events (ADEs) from clinical records and evalu...
Patient Discharge Summaries Humans Natural Language Processing Electronic Health Records Deep Learning Drug-Related Side Effects and Adverse Reactions Support Vector Machine Datasets as Topic Information Storage and Retrieval
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Hybrid Design of Isonicotinic Acid Hydrazide Derivatives: Machine Learning Studies, Synthesis and Biological Evaluation of their Antituberculosis Activity.

Current drug discovery technologies Jan 1, 2020
BACKGROUND: Tuberculosis (TB) is an infection disease caused by Mycobacterium tuberculosis (Mtb) bacteria. One of the main causes of mortality from TB is the problem of Mtb resistance to known drugs.
Animals Drug Design Microbial Sensitivity Tests Models, Chemical Humans Machine Learning Daphnia Antitubercular Agents Toxicity Tests, Acute Tuberculosis, Multidrug-Resistant Isoniazid Mycobacterium tuberculosis Rifampin Datasets as Topic
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Machine learning approaches to study glioblastoma: A review of the last decade of applications.

Cancer reports (Hoboken, N.J.) Dec 1, 2019
BACKGROUND: Glioblastoma (GB, formally glioblastoma multiforme) is a malignant type of brain cancer that currently has no cure and is characterized by being highly heterogeneous with high rates of re-incidence and therapy resistance. Thus, it is urge...
History, 21st Century Genomics Humans Glioblastoma Machine Learning Datasets as Topic Brain Neoplasms Genetic Heterogeneity
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Rise of Robot Radiologists.

Nature Dec 1, 2019
Tuberculosis United States Food and Drug Administration Datasets as Topic Practice Guidelines as Topic Uncertainty Confounding Factors, Epidemiologic Cell Phone Bias Radiologists Healthcare Disparities Retina Diabetic Retinopathy Triage Tomography, X-Ray Computed Diagnosis, Computer-Assisted Robotics Clinical Decision-Making Sensitivity and Specificity Deep Learning Diagnostic Errors Radiology Humans Female United States Breast Neoplasms Mammography Cardiovascular Diseases
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How Artificial Intelligence Will Change Medicine.

Nature Dec 1, 2019
Diagnostic Imaging Data Mining United States Food and Drug Administration Biomedical Research Humans Drug Discovery Datasets as Topic Artificial Intelligence Deep Learning Medicine Drug Industry United States
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[Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].

Zhonghua wai ke za zhi [Chinese journal of surgery] Dec 1, 2019
To examine the value and clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer. Totally 124 patients with advanced gastric cancer who underwent radical gastrectomy plus D2 lymphad...
Lymphatic Metastasis Lymph Node Excision Gastrectomy Datasets as Topic Humans Diagnosis, Computer-Assisted Stomach Neoplasms Neural Networks, Computer Child Male Female Image Processing, Computer-Assisted Middle Aged Lymph Nodes
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Traditional Chinese medicine clinical records classification with BERT and domain specific corpora.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
Traditional Chinese Medicine (TCM) has been developed for several thousand years and plays a significant role in health care for Chinese people. This paper studies the problem of classifying TCM clinical records into 5 main disease categories in TCM....
Benchmarking Datasets as Topic Medical Records Deep Learning Medicine, Chinese Traditional Natural Language Processing
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Extracting entities with attributes in clinical text via joint deep learning.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Extracting clinical entities and their attributes is a fundamental task of natural language processing (NLP) in the medical domain. This task is typically recognized as 2 sequential subtasks in a pipeline, clinical entity or attribute reco...
Humans Electronic Health Records Deep Learning Natural Language Processing Data Mining Datasets as Topic
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Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Amid electronic health records, laboratory tests, and other technology, office-based patient and provider communication is still the heart of primary medical care. Patients typically present multiple complaints, requiring physicians to dec...
Machine Learning Aged Communication Middle Aged Humans Neural Networks, Computer Office Visits Datasets as Topic Primary Health Care Medical Records Natural Language Processing Tape Recording Physician-Patient Relations
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Ultrasonic Diagnosis of Breast Nodules Using Modified Faster R-CNN.

Ultrasonic imaging Nov 1, 2019
Breast cancer has become the biggest threat to female health. Ultrasonic diagnosis of breast cancer based on artificial intelligence is basically a classification of benign and malignant tumors, which does not meet clinical demand. Besides, the curre...
Humans Breast Neural Networks, Computer Female Datasets as Topic Breast Neoplasms Image Processing, Computer-Assisted Ultrasonography, Mammary
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