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Indigo Algorithmic Approaches for the Diagnosis of Common Neurological Emergencies | Erin Mills Town Centre
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Algorithmic Approaches for the Diagnosis of Common Neurological Emergencies is a practical resource aimed at clinicians working in the field of neurology. By providing an algorithmic approach to diagnosing patients, this volume helps clinicians quickly and systematically approach patients, minimizing the risk of missing common neurological emergencies. Offering case studies and various common neurological scenarios, readers will be able to pick up on warning signs of serious neurological emergencies and treat patients effectively. Users will find this to be a valuable guide to help manage patients with neurological emergencies with limited resources.
Discusses how to systematically approach patients presenting with neurological emergencies
Offers guidance on creating a differential diagnoses while minimizing the possibility of missing common neurological emergencies
Offers several case studies throughout to help illustrate real world scenarios and applications
Teaches readers how to facilitate diagnosis even in places with limited resources
Algorithmic Approaches for the Diagnosis of Common Neurological Emergencies is a practical resource aimed at clinicians working in the field of neurology. By providing an algorithmic approach to diagnosing patients, this volume helps clinicians quickly and systematically approach patients, minimizing the risk of missing common neurological emergencies. Offering case studies and various common neurological scenarios, readers will be able to pick up on warning signs of serious neurological emergencies and treat patients effectively. Users will find this to be a valuable guide to help manage patients with neurological emergencies with limited resources.
Discusses how to systematically approach patients presenting with neurological emergencies
Offers guidance on creating a differential diagnoses while minimizing the possibility of missing common neurological emergencies
Offers several case studies throughout to help illustrate real world scenarios and applications
Teaches readers how to facilitate diagnosis even in places with limited resources
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