AIMC Topic: Symptom Assessment

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Machine Learning Diagnosis of Peritonsillar Abscess.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Aug 20, 2019
Peritonsillar abscess (PTA) is a difficult diagnosis to make clinically, with clinical examination of even otolaryngologists showing poor sensitivity and specificity. Machine learning is a form of artificial intelligence that "learns" from data to ma...
Female Aged Aged, 80 and over Young Adult Adult Humans Machine Learning Child, Preschool Algorithms Child Retrospective Studies Sensitivity and Specificity Logistic Models Male Symptom Assessment Middle Aged Peritonsillar Abscess Infant Adolescent
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Outcome measurement in mental health services: insights from symptom networks.

BMC psychiatry Jun 28, 2019
BACKGROUND: In mental health, outcomes are currently measured by changes of individual scores. However, such an analysis on individual scores does not take into account the interaction between symptoms, which could yield crucial information while inv...
Humans Neural Networks, Computer Mental Disorders Female Adult Outcome Assessment, Health Care Models, Psychological Symptom Assessment Male Social Adjustment Middle Aged Psychiatric Status Rating Scales Mental Health Services
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Identifying pre-disease signals before metabolic syndrome in mice by dynamical network biomarkers.

Scientific reports Jun 24, 2019
The establishment of new therapeutic strategies for metabolic syndrome is urgently needed because metabolic syndrome, which is characterized by several disorders, such as hypertension, increases the risk of lifestyle-related diseases. One approach is...
Neural Networks, Computer Phenotype Biomarkers Mice Humans Animals Computational Biology Disease Progression Metabolic Syndrome Models, Biological Symptom Assessment
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Mining Disease-Symptom Relation from Massive Biomedical Literature and Its Application in Severe Disease Diagnosis.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Disease-symptom relation is an important biomedical relation that can be used for clinical decision support including building medical diagnostic systems. Here we present a study on mining disease-symptom relation from massive biomedical literature a...
Humans Decision Support Systems, Clinical PubMed Data Mining Information Storage and Retrieval Biological Ontologies MEDLINE Disease Diagnosis Symptom Assessment
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A systematic literature review and classification of knowledge discovery in traditional medicine.

Computer methods and programs in biomedicine Oct 27, 2018
INTRODUCTION AND OBJECTIVE: Despite the importance of machine learning methods application in traditional medicine there is a no systematic literature review and a classification for this field. This is the first comprehensive literature review of th...
Medicine, Chinese Traditional Bayes Theorem Japan Data Mining Medicine, Ayurvedic Diagnosis, Computer-Assisted China India Support Vector Machine Plant Preparations Symptom Assessment Medicine, Kampo Medicine, Traditional Persia Humans Neural Networks, Computer Artificial Intelligence Machine Learning Databases, Factual
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Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.

Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) Sep 5, 2018
BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification.
Supervised Machine Learning Sex Factors Smoking Alcohol Drinking Symptom Assessment Wounds and Injuries Demography Vocal Cord Paralysis Voice Disorders Laryngeal Neoplasms Adult Male Middle Aged Severity of Illness Index Age Factors Algorithms Humans Voice Quality Retrospective Studies Neural Networks, Computer Glottis Female Aged
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Assessing ADHD symptoms in children and adults: evaluating the role of objective measures.

Behavioral and brain functions : BBF May 18, 2018
BACKGROUND: Diagnostic guidelines recommend using a variety of methods to assess and diagnose ADHD. Applying subjective measures always incorporates risks such as informant biases or large differences between ratings obtained from diverse sources. Fu...
Child Support Vector Machine Neuropsychological Tests Symptom Assessment Attention Deficit Disorder with Hyperactivity Humans Adult Middle Aged
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Leveraging Collaborative Filtering to Accelerate Rare Disease Diagnosis.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
In the USA, rare diseases are defined as those affecting fewer than 200,000 patients at any given time. Patients with rare diseases are frequently misdiagnosed or undiagnosed which may due to the lack of knowledge and experience of care providers. We...
Unified Medical Language System Symptom Assessment Rare Diseases Electronic Health Records Cohort Studies Natural Language Processing Humans Semantics Algorithms Phenotype
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Machine Learning on a Genome-wide Association Study to Predict Late Genitourinary Toxicity After Prostate Radiation Therapy.

International journal of radiation oncology, biology, physics Jan 31, 2018
PURPOSE: Late genitourinary (GU) toxicity after radiation therapy limits the quality of life of prostate cancer survivors; however, efforts to explain GU toxicity using patient and dose information have remained unsuccessful. We identified patients w...
Urogenital System Nocturia Lower Urinary Tract Symptoms Urinary Retention Regression Analysis Reproducibility of Results Urination Predictive Value of Tests Male Symptom Assessment Confidence Intervals Humans Quality of Life Area Under Curve Genome-Wide Association Study Genotyping Techniques Machine Learning Prostatic Neoplasms Polymorphism, Single Nucleotide Brachytherapy Androgen Antagonists Urination Disorders Risk
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A test of the adaptive network explanation of functional disorders using a machine learning analysis of symptoms.

Bio Systems Dec 24, 2017
The classification and etiology of functional disorders is controversial. Evidence supports both psychological and biological (disease) models that show, respectively, that functional disorders should be classified as one (bodily distress syndrome) a...
Male Female Aged Irritable Bowel Syndrome Humans Middle Aged Symptom Assessment Aged, 80 and over Adolescent Machine Learning Young Adult United Kingdom Algorithms Adult Fibromyalgia Fatigue Syndrome, Chronic
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