AIMC Topic: Pilot Projects
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Developing a portable natural language processing based phenotyping system.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: This paper presents a portable phenotyping system that is capable of integrating both rule-based and statistical machine learning based approaches.
Machine Learning for the Prediction of Cervical Spondylotic Myelopathy: A Post Hoc Pilot Study of 28 Participants.
World neurosurgery
Mar 25, 2019
BACKGROUND: Cervical spondylotic myelopathy (CSM) severity and presence of symptoms are often difficult to predict based simply on clinical imaging alone. Similarly, improved machine learning techniques provide new tools with immense clinical potenti...
The Role of a Decision Support System in Back Pain Diagnoses: A Pilot Study.
BioMed research international
Mar 25, 2019
It is the main goal of this study to investigate the concordance of a decision support system and the recommendation of spinal surgeons regarding back pain. 111 patients had to complete the decision support system. Furthermore, their illness was diag...
Robot for health data acquisition among older adults: a pilot randomised controlled cross-over trial.
BMJ quality & safety
Mar 20, 2019
BACKGROUND /OBJECTIVES: Healthcare professionals (HCP) are confronted with an increased demand for assessments of important health status measures, such as patient-reported outcome measurements (PROM), and the time this requires. The aim of this stud...
Boosting robot-assisted rehabilitation of stroke hemiparesis by individualized selection of upper limb movements - a pilot study.
Journal of neuroengineering and rehabilitation
Mar 20, 2019
BACKGROUND: Intensive robot-assisted training of the upper limb after stroke can reduce motor impairment, even at the chronic stage. However, the effectiveness of practice for recovery depends on the selection of the practised movements. We hypothesi...
Random forest classifiers aid in the detection of incidental osteoblastic osseous metastases in DEXA studies.
International journal of computer assisted radiology and surgery
Mar 9, 2019
PURPOSE: Dual-energy X-ray absorptiometry (DEXA) studies are used for screening patients for low bone mineral density (BMD). Patients with breast and prostate cancer are often treated with hormone-altering drugs that result in low BMD. These patients...
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...
Support Vector Machine
Follow-Up Studies
Tomography, Optical Coherence
Feasibility Studies
Pilot Projects
Time Factors
ROC Curve
Imaging, Three-Dimensional
Macula Lutea
Wet Macular Degeneration
Male
Aged
Humans
Middle Aged
Disease Progression
Aged, 80 and over
Algorithms
Prognosis
Retrospective Studies
Female
Pilot Testing a Robot for Reducing Pain in Hospitalized Preterm Infants.
OTJR : occupation, participation and health
Feb 15, 2019
Optimizing neurodevelopment is a key goal of neonatal occupational therapy. In preterm infants, repeated procedural pain is associated with adverse effects on neurodevelopment long term. Calmer is a robot designed to reduce infant pain. The objective...
Machine learning vs addiction therapists: A pilot study predicting alcohol dependence treatment outcome from patient data in behavior therapy with adjunctive medication.
Journal of substance abuse treatment
Jan 30, 2019
BACKGROUND AND OBJECTIVES: Clinical staff providing addiction treatment predict patient outcome poorly. Prognoses based on linear statistics are rarely replicated. Addiction is a complex non-linear behavior. Incorporating non-linear models, Machine L...
Machine Learning Can Improve Estimation of Surgical Case Duration: A Pilot Study.
Journal of medical systems
Jan 17, 2019
Operating room (OR) utilization is a significant determinant of hospital profitability. One aspect of this is surgical scheduling, which depends on accurate predictions of case duration. This has been done historically by either the surgeon based on ...
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