AIMC Topic: Outcome Assessment, Health Care

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The application of unsupervised deep learning in predictive models using electronic health records.

BMC medical research methodology Feb 26, 2020
BACKGROUND: The main goal of this study is to explore the use of features representing patient-level electronic health record (EHR) data, generated by the unsupervised deep learning algorithm autoencoder, in predictive modeling. Since autoencoder fea...
Deep Learning Logistic Models Outcome Assessment, Health Care Humans Algorithms Prognosis Electronic Health Records Reproducibility of Results Hospitalization
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Using a machine learning approach to predict mortality in critically ill influenza patients: a cross-sectional retrospective multicentre study in Taiwan.

BMJ open Feb 25, 2020
OBJECTIVES: Current mortality prediction models used in the intensive care unit (ICU) have a limited role for specific diseases such as influenza, and we aimed to establish an explainable machine learning (ML) model for predicting mortality in critic...
Machine Learning Retrospective Studies Critical Illness Female Humans Hospital Mortality Models, Theoretical Taiwan Influenza, Human Outcome Assessment, Health Care Adult Cross-Sectional Studies Male Middle Aged
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Machine Learning Applications for optimized mental health outcomes in Asia: Translating Hype to Hope.

Asian journal of psychiatry Feb 24, 2020
Outcome Assessment, Health Care Asia Psychiatry Humans Biomedical Research Machine Learning Bibliometrics Mental Disorders Data Mining
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Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.

Esophagus : official journal of the Japan Esophageal Society Jan 24, 2020
OBJECTIVES: In Japan, endoscopic resection (ER) is often used to treat esophageal squamous cell carcinoma (ESCC) when invasion depths are diagnosed as EP-SM1, whereas ESCC cases deeper than SM2 are treated by surgical operation or chemoradiotherapy. ...
Esophageal Squamous Cell Carcinoma Preoperative Care Endoscopic Mucosal Resection Area Under Curve Female Esophageal Neoplasms Reproducibility of Results Japan Aged Outcome Assessment, Health Care Aged, 80 and over Humans Middle Aged Sensitivity and Specificity Neural Networks, Computer Deep Learning Male Artificial Intelligence Neoplasm Invasiveness Retrospective Studies
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A reliable time-series method for predicting arthritic disease outcomes: New step from regression toward a nonlinear artificial intelligence method.

Computer methods and programs in biomedicine Jan 9, 2020
BACKGROUND AND OBJECTIVE: The interrupted time-series (ITS) concept is performed using linear regression to evaluate the impact of policy changes in public health at a specific time. Objectives of this study were to verify, with an artificial intelli...
Hip Knee Interrupted Time Series Analysis Artificial Intelligence Research Design Incidence Arthritis, Rheumatoid Outcome Assessment, Health Care Arthroplasty, Replacement, Knee Linear Models Arthroplasty, Replacement, Hip Humans
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Comparison of Machine Learning Methods With Traditional Models for Use of Administrative Claims With Electronic Medical Records to Predict Heart Failure Outcomes.

JAMA network open Jan 3, 2020
IMPORTANCE: Accurate risk stratification of patients with heart failure (HF) is critical to deploy targeted interventions aimed at improving patients' quality of life and outcomes.
Machine Learning Electronic Health Records Female Hospitalization Humans Cohort Studies Logistic Models United States Medicare Heart Failure Aged Aged, 80 and over Male Comorbidity Outcome Assessment, Health Care
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Safety and immediate effects of Hybrid Assistive Limb in children with cerebral palsy: A pilot study.

Brain & development Nov 5, 2019
PURPOSE: Early intervention is effective for developing motor ability and preventing contractures and deformities in patients with cerebral palsy (CP). Gait training using the newly developed Hybrid Assistive Limb (HAL) shows promise as an interventi...
Female Male Pilot Projects Child Cerebral Palsy Neurological Rehabilitation Robotics Humans Gait Disorders, Neurologic Exercise Therapy Outcome Assessment, Health Care Range of Motion, Articular
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Machine Learning to Predict Anti-Tumor Necrosis Factor Drug Responses of Rheumatoid Arthritis Patients by Integrating Clinical and Genetic Markers.

Arthritis & rheumatology (Hoboken, N.J.) Nov 4, 2019
OBJECTIVE: Accurate prediction of treatment responses in rheumatoid arthritis (RA) patients can provide valuable information on effective drug selection. Anti-tumor necrosis factor (anti-TNF) drugs are an important second-line treatment after methotr...
Treatment Outcome Regression Analysis Predictive Value of Tests Infliximab Genetic Markers Methotrexate Adalimumab Outcome Assessment, Health Care Middle Aged Severity of Illness Index Arthritis, Rheumatoid Polymorphism, Single Nucleotide Tumor Necrosis Factor-alpha Female Humans Reproducibility of Results Machine Learning Male Antirheumatic Agents Normal Distribution Etanercept Certolizumab Pegol
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The hidden information in patient-reported outcomes and clinician-assessed outcomes: multiple sclerosis as a proof of concept of a machine learning approach.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology Oct 28, 2019
Machine learning (ML) applied to patient-reported (PROs) and clinical-assessed outcomes (CAOs) could favour a more predictive and personalized medicine. Our aim was to confirm the important role of applying ML to PROs and CAOs of people with relapsin...
Multiple Sclerosis Prognosis Patient Reported Outcome Measures Female Proof of Concept Study Middle Aged Humans Adult Disease Progression Machine Learning Male Severity of Illness Index Outcome Assessment, Health Care
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Review of outcome measures in PARO robot intervention studies for dementia care.

Geriatric nursing (New York, N.Y.) Oct 24, 2019
The aim of this study was to describe interventions for PARO, as well as the outcomes evaluated and found following use of PARO, and to identify outcome measures in PARO intervention studies for older adults with dementia. Multiple databases (Web of ...
Outcome Assessment, Health Care Humans Social Interaction Quality of Life Dementia Robotics
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