Master Doctor Search: Hospital
Machine Learning-Based Prediction of Hospital Admission Among Children in an Emergency Care Center
1 month ago - By Pediatric Emergency Care
Objectives
Machine learning-based prediction of hospital admissions may have the potential to optimize patient disposition and improve clinical outcomes by minimizing both undertriage and overtriage in crowded emergency care. We developed and validated the predictive abilities of machine learning-based predictions of hospital admissions in a pediatric emergency care center.
Methods
A prognostic study was performed using retrospectively collected data of children younger than 16 years who visited a single pediatric emergency care center in Osaka, Japan, between August 1, 2016, and October...
Read more ...Acute Hepatic Porphyrias Not as Rare as Previously Thought
1 month ago - By Medscape
Recent treatment advances have improved the outlook for patients with acute hepatic porphyrias.
MDedge News
Read more ...Smart stitches could improve surgery outcomes and patient's quality of life
1 month ago - By News Medical
A new antimicrobial suture material that glows in medical imaging could provide a promising alternative for mesh implants and internal stitches.
Read more ...Two treatment regimens improve quality of life among patients with DLBCL
1 month ago - By Healio
NEW ORLEANS - Health-related quality of life in patients with diffuse large B-cell lymphoma improved in a comparison of two therapy regimens.
In both regimens - Pola-R-CHP (polatuzumab vedotin , rituximab, cyclophosphamide, doxorubicin and prednisone) and R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine and prednisone) - patients reported similar improvements, according to a poster presented at ASH Annual Meeting and Exhibition.
"Both regimens led to significant improvements in health-related quality of life and rapid improvements, upon
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