AIMC Topic: Severity of Illness Index

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The Liver Toxicity Knowledge Base (LKTB) and drug-induced liver injury (DILI) classification for assessment of human liver injury.

Expert review of gastroenterology & hepatology Oct 9, 2017
Drug-induced liver injury (DILI) is challenging for drug development, clinical practice and regulation. The Liver Toxicity Knowledge Base (LTKB) provides essential data for DILI study. Areas covered: The LTKB provided various types of data that can b...
Databases, Factual Animals Risk Assessment Drug Discovery Severity of Illness Index Humans Incidence Hep G2 Cells Liver Structure-Activity Relationship Molecular Structure Pharmaceutical Preparations Knowledge Bases Toxicology Chemical and Drug Induced Liver Injury Toxicogenetics
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Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach.

International journal of medical informatics Oct 5, 2017
BACKGROUND: Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By ...
Aged, 80 and over Machine Learning Young Adult Databases, Factual Adult Middle Aged Bayes Theorem Intensive Care Units Male Humans Severity of Illness Index Outcome Assessment, Health Care Female Adolescent Aged Heart Diseases Hospital Mortality ROC Curve
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Homecare Robots to Improve Health and Well-Being in Mild Cognitive Impairment and Early Stage Dementia: Results From a Scoping Study.

Journal of the American Medical Directors Association Sep 30, 2017
OBJECTIVES: This scoping study is the first step of a multiphase, international project aimed at designing a homecare robot that can provide functional support, track physical and psychological well-being, and deliver therapeutic intervention specifi...
Female Aged Male Risk Assessment Quality of Life Humans Prognosis Treatment Outcome Robotics New Zealand Activities of Daily Living Early Diagnosis Severity of Illness Index Interviews as Topic Cognitive Dysfunction Cohort Studies Caregivers Home Care Services Patient Acceptance of Health Care
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Prediction Effects of Personal, Psychosocial, and Occupational Risk Factors on Low Back Pain Severity Using Artificial Neural Networks Approach in Industrial Workers.

Journal of manipulative and physiological therapeutics Jul 21, 2017
OBJECTIVES: This study aimed to provide an empirical model of predicting low back pain (LBP) by considering the occupational, personal, and psychological risk factor interactions in workers population employed in industrial units using an artificial ...
Case-Control Studies Predictive Value of Tests Risk Factors Disability Evaluation Adult Humans Psychology Iran Male Neural Networks, Computer Occupational Health Low Back Pain Female Middle Aged Severity of Illness Index Industry Life Style Occupational Diseases
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Applying an artificial neural network model for developing a severity score for patients with hereditary amyloid polyneuropathy.

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis Jul 18, 2017
Hereditary (familial) amyloid polyneuropathy (FAP) is a systemic disease that includes a sensorimotor polyneuropathy related to transthyretin (TTR) mutations. So far, a scale designed to classify the severity of this disease has not yet been validate...
Amyloid Neuropathies, Familial Severity of Illness Index Models, Biological Humans Prealbumin Neural Networks, Computer Amino Acid Substitution Female Mutation, Missense Male
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Usability testing of a developed assistive robotic system with virtual assistance for individuals with cerebral palsy: a case study.

Disability and rehabilitation. Assistive technology Jul 4, 2017
This paper presents a novel application of an assistive robotic system with virtual assistance to enhance manual performance of individuals with cerebral palsy. Cerebral palsy affects one's voluntary motor movements resulting in limited opportunities...
Movement Physical Therapy Modalities Humans Female Middle Aged Severity of Illness Index User-Computer Interface Robotics Hand Cerebral Palsy
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Diagnosis of Alzheimer's Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network.

Journal of healthcare engineering Jun 21, 2017
. Error-free diagnosis of Alzheimer's disease (AD) from healthy control (HC) patients at an early stage of the disease is a major concern, because information about the condition's severity and developmental risks present allows AD sufferer to take p...
Alzheimer Disease Male Middle Aged Pattern Recognition, Automated Severity of Illness Index Wavelet Analysis Female Case-Control Studies Reproducibility of Results Humans Aged Diagnosis, Computer-Assisted Neural Networks, Computer Aged, 80 and over Dementia Algorithms Sensitivity and Specificity Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging Principal Component Analysis
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Can Statistical Machine Learning Algorithms Help for Classification of Obstructive Sleep Apnea Severity to Optimal Utilization of Polysomnography Resources?

Methods of information in medicine Jun 7, 2017
OBJECTIVES: The goal of this study is to evaluate the results of machine learning methods for the classification of OSA severity of patients with suspected sleep disorder breathing as normal, mild, moderate and severe based on non-polysomnographic va...
Female Aged Young Adult Adult Male Middle Aged Severity of Illness Index Cohort Studies Sleep Apnea, Obstructive Humans Machine Learning Algorithms Polysomnography
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Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scores.

Journal of biomedical informatics May 12, 2017
BACKGROUND: The CEGS N-GRID 2016 Shared Task in Clinical Natural Language Processing (NLP) provided a set of 1000 neuropsychiatric notes to participants as part of a competition to predict psychiatric symptom severity scores. This paper summarizes ou...
Severity of Illness Index Neuropsychological Tests Humans Neural Networks, Computer
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Flexion synergy overshadows flexor spasticity during reaching in chronic moderate to severe hemiparetic stroke.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology May 12, 2017
OBJECTIVE: Pharmaceutical intervention targets arm flexor spasticity with an often-unsuccessful goal of improving function. Flexion synergy is a related motor impairment that may be inadvertently neglected. Here, flexor spasticity and flexion synergy...
Paresis Muscle Spasticity Prospective Studies Female Aged Middle Aged Electromyography Humans Cross-Sectional Studies Severity of Illness Index Stroke Chronic Disease Arm Robotics Range of Motion, Articular Movement Male
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