The paper describes the process of knowledge elicitation for a neurological decision support system. The authors are developing this system to help neurologists differentiate between three types of tremor: Parkinsonian, essential and mixed (comorbidity). They used a recently developed technique Argument Based Machine Learning (ABML). They demonstrated advantages of combining machine learning and expert knowledge The accuracy of the system is very high. It can be used as a diagnostic or teaching tool.
F.22 Improvement to existing health/diagnostic methods/procedures
COBISS.SI-ID: 8469332The authors describe the theoretical basis and testing of the contribution of cognitive control to gait in normal aged people and in patients with Parkinson's disease. This is evaluated by measuring the effect that a cognitive load (simultaneous talking or counting while walking) has on gait The effect of dual tasking, the dual-task decrement, is related to impairment in executive function and attention. It can be significant in patients with Parkinson's disease. Cognitive motor interference in these patients is clinically important since it contributes to the assessment of the patient's everyday motor ability, to goal setting and treatment planning. Understanding the nature, prevalence, and prognosis of dual task decrements is important for assessment and rehabilitation of the PD patients.
F.21 Development of new health/diagnostic methods/procedures
COBISS.SI-ID: 29390297Translational medicine is a term describing systematic efforts for adequate testing and transfer of basic research findings into dinical practice. The paper outlines a series of studies aimed at evaluating adiagnostic potential of positron emission tomography with a radioisotope probe (18F)FDDNP for earlyrecognition of pathologic protein deposits in the brain s of prion disease patients. Slovene scientists contributed significantly to all studies in this bench-to-bedside sequence of translational neuroscience.
F.21 Development of new health/diagnostic methods/procedures
COBISS.SI-ID: 29310425