AIMC Topic: Algorithms

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[Digital data for more efficient prevention: ethical and legal considerations regarding potentials and risks].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Jun 1, 2020
Digitization offers considerable potential for strengthening prevention in the healthcare system. Data from various clinical and nonclinical sources can be collected in a structured way and systematically processed using algorithms. Prevention needs ...
Bioethics Artificial Intelligence Datasets as Topic Algorithms Germany Humans Delivery of Health Care Morals Electronic Health Records
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Using word embeddings to improve the privacy of clinical notes.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2020
OBJECTIVE: In this work, we introduce a privacy technique for anonymizing clinical notes that guarantees all private health information is secured (including sensitive data, such as family history, that are not adequately covered by current technique...
Data Anonymization Health Insurance Portability and Accountability Act Health Records, Personal Natural Language Processing Confidentiality Algorithms Electronic Health Records Humans United States
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Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2020
OBJECTIVE: The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety.
Humans Machine Learning Proof of Concept Study Language Family Female Interviews as Topic Algorithms Middle Aged Caregivers Communication Anxiety Male Speech
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Advance Care Planning and "The Love Song of J. Alfred Prufrock".

JAMA internal medicine Jun 1, 2020
Algorithms Advance Care Planning Humans Artificial Intelligence
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FUpred: detecting protein domains through deep-learning-based contact map prediction.

Bioinformatics (Oxford, England) Jun 1, 2020
MOTIVATION: Protein domains are subunits that can fold and function independently. Correct domain boundary assignment is thus a critical step toward accurate protein structure and function analyses. There is, however, no efficient algorithm available...
Deep Learning Computational Biology Protein Domains Neural Networks, Computer Software Algorithms
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Letter to the Editor: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Clinical orthopaedics and related research Jun 1, 2020
Algorithms Arthroplasty, Replacement, Knee Humans Machine Learning
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A multitask multiple kernel learning formulation for discriminating early- and late-stage cancers.

Bioinformatics (Oxford, England) Jun 1, 2020
MOTIVATION: Genomic information is increasingly being used in diagnosis, prognosis and treatment of cancer. The severity of the disease is usually measured by the tumor stage. Therefore, identifying pathways playing an important role in progression o...
Humans Machine Learning Algorithms Support Vector Machine Cluster Analysis Neoplasms
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Deep Learning and Transfer Learning for Optic Disc Laterality Detection: Implications for Machine Learning in Neuro-Ophthalmology.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society Jun 1, 2020
BACKGROUND: Deep learning (DL) has demonstrated human expert levels of performance for medical image classification in a wide array of medical fields, including ophthalmology. In this article, we present the results of our DL system designed to deter...
Humans Machine Learning Algorithms Diagnostic Techniques, Ophthalmological Neurology Ophthalmology Deep Learning ROC Curve Optic Disk Optic Nerve Diseases
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Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images.

Molecular imaging and biology Jun 1, 2020
PURPOSE: To identify optimal machine learning methods for radiomics-based differentiation of local recurrence versus inflammation from post-treatment nasopharyngeal positron emission tomography/X-ray computed tomography (PET/CT) images.
Male ROC Curve Image Processing, Computer-Assisted Retrospective Studies Female Neoplasm Recurrence, Local Machine Learning Nasopharyngeal Carcinoma Humans Algorithms Nasopharyngeal Neoplasms Diagnosis, Differential Inflammation Positron Emission Tomography Computed Tomography
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Study on intelligent syndrome differentiation neural network model of stomachache in traditional Chinese medicine based on the real world.

Medicine May 29, 2020
Stomachache is not only disease name of Traditional Chinese medicine (TCM) but also the clinical symptom. It is a common and multiple diseases. TCM has its particular advantage in clinical treatment of stomachache. Syndrome differentiation is an impo...
Abdominal Pain Algorithms Stomach Diseases Medicine, Chinese Traditional Humans Diagnosis, Differential Neural Networks, Computer
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