By measuring the patient factors that are associated with better or worse functional outcome, we plan to predict outcome in individual patients, and support clinical decision making, hence improving quality of care.
Electrochemotherapy can be performed using standard operating procedures with predefined electrode geometries, or using patient-specific treatment planning to predict electroporation.
DES has been used in the healthcare industry to support clinical decision making, facility planning (to predict bed occupancy), resource allocation (staffing), treatment evaluation, emergency room organizational redesign, and ICU information system usability tests [31 36].
Despite the practical needs in building design and urban planning to predict conditions inside street canyons, literature is sparse for physics-based models that can support early stage design.
DES has been used in the healthcare industry to support clinical decision making, facility planning (to predict bed occupancy), resource allocation (staffing), treatment evaluation, emergency room organizational redesign, and ICU information system usability tests [ 31- 36].
We used bivariate and multivariate ordinal logistic regression using sociodemographic characteristics and career plans to predict self-ranked attribute importance, separately for each of the four most important attributes.
We examined the association between age, gender, chronic health condition status (variables typically used by health plans to predict risk), and PedsQL™ 4.0 scores with healthcare costs at each of the three cumulative follow-up periods.
The derived model can be used as a guideline in the project planning stage to predict achievable fill ratios at a planned lattice constant and consequently an assessment whether a desired functionality at a certain wavelength is possible or not.
Future work is planned to further improve predicted mWave performance by refinement of power take-off damping and to physically validate these performance modelling results at full scale.
Since neutrons can release a significant dose far away from the tumour region, precise measurements of their flux, production energy and angular distributions is eagerly needed to improve the analytical models and the Monte Carlo simulation underlying the treatment planning systems, to predict the normal tissue toxicity in the target region and the risk of late complications in the whole body [2].
