Strong Research and Synthesis Skills

The candidate must be capable of thoroughly researching the topic, including the latest trends and developments in the field of AI applied to mental health. They should be able to synthesize information from multiple sources and studies to create cohesive and well-informed content. * Competence in Comparative Analysis: The candidate should have the ability to compare and contrast different existing studies and research to provide a balanced and comprehensive perspective in the article. * Exploratory Data Analysis: Reviewing and consolidating all data and assessing the most significant variables for the model. * Experience in AI Modeling and Generative AI: It’s essential that the freelancer has solid knowledge and practical experience in AI modeling, especially in Generative AI, as the article will focus on how these technologies can predict mental health disorders. * Specific Knowledge in Health Domain: This includes an understanding of mental health conditions, current treatments, and how AI can be integrated into this context to improve diagnosis and patient management. * Attention to Detail: The article must be accurate and thorough, with special attention to technical and scientific details. * Handling of Anonymized Data: The freelancer should be familiar with the handling and analysis of anonymized data, as the models will be based on such data. * Discretion and Confidentiality: Given the sensitive nature of the topic and the potential involvement of personal health data, maintaining confidentiality and discretion at all times is crucial. * Scientific Writing Skills and Publication Formatting: The freelancer must have experience in scientific writing and be familiar with the requirements and standards of Q1 journals, including article structure, citations, and references. Preferably writing in OverLeaf.