Child dehydration is a significant health concern, especially among children under 5 years of age who are more susceptible to diarrhea and vomiting. In Afghanistan, severe diarrhea contributes to child mortality due to dehydration. However, there is no evidence of research exploring the potential of machine learning techniques in diagnosing dehydration in Afghan children under five. To fill this gap, this study leveraged various classifiers such as Random Forest, Multilayer Perceptron, Support Vector Machine, J48, and Logistic Regression to develop a predictive model using a dataset of sick children retrieved from the Afghanistan Demographic and Health Survey (ADHS). The primary objective was to determine the dehydration status of children under 5 years. Among all the classifiers, Random Forest proved to be the most effective, achieving an accuracy of 91.46%, precision of 91%, and AUC of 94%. This model can potentially assist healthcare professionals in promptly and accurately identifying dehydration in under five children, leading to timely interventions, and reducing the risk of severe health complications. Our study demonstrates the potential of machine learning techniques in improving the early diagnosis of dehydration in Afghan children.

Haley Mayer is a PhD student in mechanical engineering at the Hospital for Sick Children in Toronto. Haley began a master's degree in mechanical engineering and part way through this she was able to take an exam that enabled her to transfer to a PhD. Her research as a PhD candidate now focuses on magnetically actuated surgical tools for gastroendoscopy, a test to check the inside of the throat, food pipe (oesophagus) and stomach, the upper part of the digestive system. "Diversity is important in robotics because it touches everyone and everything." I got my Bachelor of Engineering in Biomedical Engineering from the University of Guelph, in Canada, where I focused on the intersection between medicine, mechanical design, and biomechanics.

Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids Hospital) is one of the largest and most respected paediatric healthcare centres in the world. As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education. Our reputation would not have been built – nor could it be maintained – without the skills, knowledge and experience of the extraordinary people who come to work here every day. SickKids is committed to ongoing learning and development and features a caring and supportive work environment that combines exceptionally high standards of practice. When you join SickKids, you become part of our community.

From interpreting CT scans to diagnosing eye disease, artificial intelligence is taking on medical tasks once reserved for only highly trained medical specialists -- and in many cases outperforming its human counterparts. Now AI is starting to show up in intensive care units, where hospitals treat their sickest patients. Doctors who have used the new systems say AI may be better at responding to the vast trove of medical data collected from ICU patients -- and may help save patients who are teetering between life and death. "Critical care is essentially this interface between humans and technology," says Peter Laussen, chief of critical care medicine at Toronto's Hospital for Sick Children. "The amount of data streaming from the patient in the ICU is huge," encompassing readings of blood pressure, heartbeat, oxygen levels and other vital signs.

Contrary to what some people will try to tell you, there are Canadian values. We aren't just a collection of disparate people who happen to occupy the same country. We're one of the few nations on earth with a native-born and immigrant population that welcomes people from all over the world to come here, work hard, obey the law, live in peace and freedom, and help each other. To pick one of countless examples, Canada is Jamaican-Canadians extending a helping hand to a brilliant young Albanian-born computer student, whose family immigrated here 17 years ago when he was four, leaving behind the turmoil of the Kosovo war. Jurgen Aliaj, 21, is the student and the Jamaican-Canadians who are helping him head the Independent United Order of Solomon, a charity run by my friends Lloyd and Madaine Seivright.