Abstract Background To develop and evaluate machine learning algorithms to ascertain attention-deficit/hyperactivity (ADHD) and learning disability (LD) using diagnostic codes in the medical record.Method Diagnoses of ADHD and LD were confirmed in cohorts of children in Olmsted County of Minnesota based on validated research criteria.Models to pred
Rare Laryngeal Hamartoma: A Case Report
Hamartoma (from the Greek language, where hamartia means defect or an error and -oma denoting a tumor or neoplasm) is a benign tumor-like mass composed of mature tissue or cells that are present in abnormal proportions or show a disorganized arrangement.Hamartomas are rarely seen in the head Rasierhobel and neck area and especially rare in the lary
Prospective randomized comparative study between EBRT alone and EBRT with ILRT boost in locally advanced unresectable esophageal cancer - Tertiary rural Indian cancer center experience
Background: Local recurrence within the gross tumor volume following a conventional radiation dose of 50 Gy is a major hurdle in achieving a better prognosis for esophageal carcinoma.Consequently, there remains a lack of consensus globally regarding the optimal dose for definitive concurrent chemoradiotherapy.Certain studies propose that radiation
An integrated remote sensing, petrology, and field geology analyses for Neoproterozoic basement rocks in some parts of the southern Egyptian-Nubian Shield
Abstract The main objective of this study was to use deep learning, and convolutional neural networks (CNN), integrated with field geology to identify distinct lithological units.The Samadia-Tunduba region of the South Nipple Care Eastern Desert of Egypt was mapped geologically for the first time thanks to the use of processed developed CNN algorit