Mortality after discharge from a public tertiary cardiovascular referral hospital.

It is critically important for stakeholders with distinct foci of attention on healthcare to understand patient evolution in the presence of an established diagnosis or with a suspected diagnosis of various diseases, specially considering death as an outcome. To study the long-term mortality of patients at a cardiovascular referral hospital. Deterministic binding (selection of pairs of registers from the hospital electronic health records and the mortality records of São Paulo state) from 2002 to 2017 was performed.

Evaluation of the Miami Child Well-Being Court model: safety, permanency, and well-being findings.

This study presents preliminary outcomes for a problem-solving court improvement model, the Miami Child Well-Being Court (Miami-CWBC), which makes evidence-based clinical intervention and integration of the treating clinician's ongoing assessment and perspective central in the dependency court process. Records were reviewed for children adjudicated for maltreatment that completed treatment. Several promising findings suggest that this approach can help jurisdictions improve the lives of young children and their families' capacity to care for them.

From lab bench to court bench: using science to inform decisions in juvenile court.

Juvenile court judges are asked to determine what is in the best interest of the child in every case they hear. As Judge Cindy S. Lederman writes, making these decisions without an awareness of the science of child development can be detrimental to the mental and physical well-being of the child.

TETRAHEDRAL MESH GENERATION FOR MEDICAL IMAGES WITH MULTIPLE REGIONS USING ACTIVE SURFACES.

In this paper, we present a method for automatically generating tetrahedral meshes from 3D images with multiple region labels. The first step consists of constructing an adaptively sized tetrahedral mesh that conforms exactly to the voxelized regions in the image. Active surfaces (active contours in 2D) are then employed to smooth the region boundaries and remove the voxelization.

The generation of tetrahedral mesh models for neuroanatomical MRI.

In this article, we describe a detailed method for automatically generating tetrahedral meshes from 3D images having multiple region labels. An adaptively sized tetrahedral mesh modeling approach is described that is capable of producing meshes conforming precisely to the voxelized regions in the image. Efficient tetrahedral mesh improvement is then performed minimizing an energy function containing three terms: a smoothing term to remove the voxelization, a fidelity term to maintain continuity with the image data, and a novel elasticity term to prevent the tetrahedra from becoming flattened or inverted as the mesh deforms while allowing the voxelization to be removed entirely.