AIMC Topic: Models, Statistical

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Deep into Patient care: An automated deep learning approach for reshaping patient care in clinical setting.

Computer methods and programs in biomedicine Jan 1, 2019
Computer Simulation Reproducibility of Results Deep Learning Computer Systems Humans Neural Networks, Computer Software Algorithms Leukocytes Programming Languages Medical Informatics Proportional Hazards Models Genome-Wide Association Study Treatment Outcome Models, Statistical Patient Care
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Machine-Learning Approach for Modeling Myelosuppression Attributed to Nimustine Hydrochloride.

JCO clinical cancer informatics Dec 1, 2018
PURPOSE: A major adverse effect arising from nimustine hydrochloride (ACNU) therapy for brain tumors is myelosuppression. Because its timing and severity vary among individual patients, the ACNU dose level has been adjusted in an empiric manner at in...
Nimustine Middle Aged Female Humans Lymphocytes Machine Learning Adult Leukopenia Antineoplastic Agents Prognosis Brain Neoplasms Blood Platelets Follow-Up Studies Male Myelopoiesis Models, Statistical
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Editorial. Artificial neural networks for neurosurgical diagnosis, prognosis, and management.

Neurosurgical focus Nov 1, 2018
Prognosis Tomography, X-Ray Computed Child Brain Injuries, Traumatic Humans Neural Networks, Computer Machine Learning Models, Statistical
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Machine-learning analysis outperforms conventional statistical models and CT classification systems in predicting 6-month outcomes in pediatric patients sustaining traumatic brain injury.

Neurosurgical focus Nov 1, 2018
OBJECTIVEModern surgical planning and prognostication requires the most accurate outcomes data to practice evidence-based medicine. For clinicians treating children following traumatic brain injury (TBI) these data are severely lacking. The first aim...
Adolescent Time Factors Child, Preschool Child Treatment Outcome Female Brain Injuries, Traumatic Humans Infant, Newborn Models, Statistical Machine Learning Male International Classification of Diseases Infant Electronic Health Records
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The impact of social housing on mental health: longitudinal analyses using marginal structural models and machine learning-generated weights.

International journal of epidemiology Oct 1, 2018
BACKGROUND: Social housing may provide an affordable and secure residential environment, but has also been associated with stigma, poor housing conditions and locational disadvantage. We examined the cumulative effect of additional years, and tenure ...
Australia Models, Statistical Poverty Social Stigma Male Middle Aged Stress, Psychological Longitudinal Studies Public Housing Humans Machine Learning Female Aged Adult Mental Health
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Statistical Learning Methods to Determine Immune Correlates of Herpes Zoster in Vaccine Efficacy Trials.

The Journal of infectious diseases Sep 22, 2018
Using Super Learner, a machine learning statistical method, we assessed varicella zoster virus-specific glycoprotein-based enzyme-linked immunosorbent assay (gpELISA) antibody titer as an individual-level signature of herpes zoster (HZ) risk in the Z...
Humans Machine Learning Female Male Middle Aged Case-Control Studies ROC Curve Antibodies, Viral Models, Statistical Randomized Controlled Trials as Topic Area Under Curve Data Interpretation, Statistical Herpes Zoster Herpes Zoster Vaccine
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Advancing In-Hospital Clinical Deterioration Prediction Models.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Sep 1, 2018
BACKGROUND: Early warning systems lack robust evidence that they improve patients' outcomes, possibly because of their limitation of predicting binary rather than time-to-event outcomes.
Machine Learning Critical Care Humans Retrospective Studies Academic Medical Centers Cohort Studies Heart Arrest Models, Statistical Clinical Deterioration
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Rise of the machines? Machine learning approaches and mental health: opportunities and challenges.

The British journal of psychiatry : the journal of mental science Sep 1, 2018
Machine learning methods are being increasingly applied to physical healthcare. In this article we describe some of the potential benefits, challenges and limitations of this approach in a mental health context. We provide a number of examples where ...
Models, Statistical Psychology Risk Factors Mental Health Risk Assessment Mental Health Services Humans Machine Learning Precision Medicine
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The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction Model.

Critical care medicine Jul 1, 2018
OBJECTIVES: To develop an acute kidney injury risk prediction model using electronic health record data for longitudinal use in hospitalized patients.
Creatinine Machine Learning Algorithms Renal Replacement Therapy Middle Aged Acute Kidney Injury Humans ROC Curve Electronic Health Records Models, Statistical Female Area Under Curve Reproducibility of Results Male
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Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients.

Critical care medicine Jun 1, 2018
OBJECTIVES: Risk adjustment algorithms for ICU mortality are necessary for measuring and improving ICU performance. Existing risk adjustment algorithms are not widely adopted. Key barriers to adoption include licensing and implementation costs as wel...
Female Male Middle Aged Hospital Mortality Humans Models, Statistical Algorithms Unsupervised Machine Learning Intensive Care Units Risk Adjustment
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