AIMC Topic: Aged, 80 and over

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NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia.

PloS one Mar 8, 2019
INTRODUCTION: Using machine learning techniques, we developed a brief questionnaire to aid neurologists and neuropsychologists in the screening of mild cognitive impairment (MCI) and dementia.
Male Female Humans Geriatric Assessment Middle Aged Aged Neuropsychological Tests Machine Learning Diagnosis, Computer-Assisted Dementia Aged, 80 and over Surveys and Questionnaires ROC Curve Cognitive Dysfunction Adult Mass Screening Sensitivity and Specificity Diagnosis, Differential Area Under Curve
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Assessment of Motor Impairments in Early Untreated Parkinson's Disease Patients: The Wearable Electronics Impact.

IEEE journal of biomedical and health informatics Mar 7, 2019
OBJECTIVE: The complex nature of Parkinson's disease (PD) makes difficult to rate its severity, mainly based on the visual inspection of motor impairments. Wearable sensors have been demonstrated to help overcoming such a difficulty, by providing obj...
Movement Aged Aged, 80 and over Adult Male Humans Middle Aged Machine Learning Equipment Design Female Wearable Electronic Devices Signal Processing, Computer-Assisted Monitoring, Physiologic Accelerometry Parkinson Disease
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Impact of nominal photon energies on normal tissue sparing in knowledge-based radiotherapy treatment planning for rectal cancer patients.

PloS one Mar 7, 2019
The interactive adjustment of the optimization objectives during the treatment planning process has made it difficult to evaluate the impact of beam quality exclusively in radiotherapy. Without consensus in the published results, the arbitrary select...
Organ Sparing Treatments Photons Knowledge Bases Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Aged, 80 and over Humans Adult Male Retrospective Studies Middle Aged Female Rectal Neoplasms Aged
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Identifying Features that Enhance Older Adults' Acceptance of Robots: A Mixed Methods Study.

Gerontology Mar 7, 2019
BACKGROUND: With global aging, robots are considered a promising solution for handling the shortage of aged care and companionships. However, these technologies would serve little purpose if their intended users do not accept them. While the socioemo...
Humans Technology Female Aged Aged, 80 and over Male Middle Aged Social Support Independent Living Qualitative Research Psychological Theory Taiwan Robotics Activities of Daily Living Attitude
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Feasibility of support vector machine learning in age-related macular degeneration using small sample yielding sparse optical coherence tomography data.

Acta ophthalmologica Mar 6, 2019
PURPOSE: A retrospective pilot study is conducted to demonstrate the utility of a novel support vector machine learning (SVML) algorithm in a small three-dimensional (3D) sample yielding sparse optical coherence tomography (spOCT) data for the automa...
Female Aged Aged, 80 and over Male Middle Aged Humans Algorithms Prognosis Retrospective Studies Support Vector Machine Disease Progression Feasibility Studies Follow-Up Studies Pilot Projects Macula Lutea Tomography, Optical Coherence Time Factors Wet Macular Degeneration ROC Curve Imaging, Three-Dimensional
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Relative Factors Analysis of Imatinib Trough Concentration in Chinese Patients with Gastrointestinal Stromal Tumor.

Chemotherapy Mar 5, 2019
AIMS: Imatinib plasma trough levels (IM Cmin) have been reported to have a considerable clinical impact in patients with gastrointestinal stromal tumors (GISTs). We therefore have investigated the factors affecting IM plasma concentration in Chinese ...
Antigens, CD34 Male Humans Middle Aged Gastrointestinal Stromal Tumors Body Weight Female Antineoplastic Agents Gastrectomy Imatinib Mesylate Aged China Asian People Aged, 80 and over Body Surface Area Dose-Response Relationship, Drug Sex Factors Adult
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Characterization of clot composition in acute cerebral infarct using machine learning techniques.

Annals of clinical and translational neurology Mar 4, 2019
OBJECTIVE: Clot characteristics can provide information on the cause of cerebral artery occlusion and may guide acute revascularization and secondary prevention strategies. We developed a rapid automated clot analysis system using machine learning (M...
Stroke Infarction, Middle Cerebral Artery Thrombosis Atrial Fibrillation Brain Ischemia Aged, 80 and over Adult Male Middle Aged Acute Disease Neuroimaging Endovascular Procedures Humans Machine Learning Female Aged
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Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.

JAMA network open Mar 1, 2019
IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target many patients who are not truly at high risk.
Female Aged Aged, 80 and over Male Middle Aged Risk Assessment Humans Machine Learning Algorithms Cohort Studies Medical Informatics Applications United States Prescriptions Analgesics, Opioid Medicare Drug Overdose
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Scoring upper-extremity motor function from EEG with artificial neural networks: a preliminary study.

Journal of neural engineering Feb 28, 2019
OBJECTIVE: Motor function of chronic stroke survivors is generally accessed using clinical motor assessments. These motor assessments are partially subjective and require prior training for the examiners. Additionally, those motor function assessment...
Female Aged Aged, 80 and over Adult Male Humans Stroke Middle Aged Neural Networks, Computer Upper Extremity Recovery of Function Brain Stroke Rehabilitation Electroencephalography
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Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics.

ESC heart failure Feb 27, 2019
AIMS: Machine learning (ML) is widely believed to be able to learn complex hidden interactions from the data and has the potential in predicting events such as heart failure (HF) readmission and death. Recent studies have revealed conflicting results...
Follow-Up Studies Cause of Death Heart Failure Patient Readmission Quality Indicators, Health Care Western Australia Aged, 80 and over Survival Rate Male Time Factors ROC Curve Humans Machine Learning Retrospective Studies Female Aged
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