AI to predict simple outcomes.

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Hello there. I think I have already performed something similar and can easily perform the task. I have plenty of experience with ML algorithms and would love to help you in this task. Furthermore, I can also write the research paper as additional service. I ensure you will have a collaborative experience working with me. Regards Fahim Muntasir M.Sc. in CSE BRAC University, Dhaka, Bangladesh

Leveraging my extensive background in Digital Health and Data Science, along with a Bachelor's degree in Pre-medicine and a Master's in Digital Health and Data Science, I am well-equipped to deliver a robust solution for your machine learning project. With prior experience in developing medical automation tools using Python, I propose a continuous model training script that efficiently captures and learns from the provided data. The model query script, based on the specified rules, will accurately predict ADHD diagnosis, considering both question responses and observations. My expertise ensures a reliable and adaptable solution for your PHP forms, maintaining a fixed rule while allowing the model to highlight potential positive results based on textual patterns and ADHD indications. Furthermore, my proficiency in Python will enable a smooth integration of the model into your system. I understand the importance of meeting deadlines and quality standards and can assure you that the deliverables will be provided on time without compromising on quality. In addition to my technical skills, my academic background combined with industry experience in healthcare has given me a deep understanding of the implications of ADHD diagnosis, enhancing my ability to deliver results that align precisely with your requirements. My communication skills have also been well-honed by working closely with fellow team members, ensuring timely feedback and updates throughout our project journey.

Com vasta experiência em desenvolvimento e implementação de modelos de aprendizado de máquina, ofereço minha expertise para criar um sistema eficiente e flexível que atenda às suas necessidades. Meu modelo incorporará um script de treinamento contínuo, capturando dados das perguntas e observações, com atenção especial ao campo TDAH. Implementarei uma regra fixa para determinar resultados positivos ou negativos com base na soma ponderada das respostas. Além disso, introduzirei um mecanismo de análise textual no campo OBSERVAÇÃO para aprimorar a detecção, demonstrando um compromisso em fornecer resultados precisos e relevantes. Garanto que o modelo será facilmente integrado a formulários PHP após a conclusão, proporcionando uma solução robusta e adaptável para sua aplicação.

As a Data Scientist, I've mastered the art of crafting and delivering sophisticated ML models. With a Master's in Data Science and real-world internship experience, I've tackled complex problems and generated insightful results. I'll bring in the experience and knowledge to effectively solve your problem statement.

Hello, I'm AI Engineer. With a Bachelor's in Computer Science and internship experience. I solve complex problems. I will bring experience and knowledge to solve your problem effectively. I hope to receive a response from you.

I am proposing to develop a machine learning model tailored to your needs, focusing on ADHD diagnosis based on responses to nine questions and an OBSERVATION field. My expertise in machine learning and data analysis positions me well for this task. Continuous Model Training Script: I will create a script to continuously train the model with inputs from question1 to question9, the OBSERVACAO field, and the ADHD indicator. This script will adapt and improve its predictions over time, considering new data and patterns. Model Query Script: The script will initially evaluate the sum of values from question1 to question9. If the sum is ≥6, it will indicate a positive result. For sums <6, the model will analyze the OBSERVATION field text. If there's a high correlation of specific texts with positive ADHD cases, it will alert the user of a possible positive result, enhancing early detection. The model will be developed in Python, utilizing machine learning libraries best suited for this application. Post-development, I'll ensure the model is compatible for integration with PHP forms, allowing easy implementation into your existing systems. I am committed to delivering a solution that is not only technically sound but also practical and user-friendly, aiding in accurate and efficient ADHD diagnosis.