Quantum Algorithm Development for Disease Prediction
Facilitator
Mrs. Temitope Adeniyi
Category: Quantum Algorithms
Facilitator: Mrs. Temitope Adeniyi
Duration: 90 min
Session date: 28-02-2024
Session time: 3:00 PM
Language: English
Pre-requisite Knowledge: Attendees should have a foundational understanding of quantum computing principles, data preprocessing techniques, machine learning concepts (such as supervised learning), and familiarity with programming languages used in quantum computing (e.g., Qiskit, Cirq) and data science (e.g., Python).
Audience: This workshop is tailored for professionals and researchers in the fields of quantum computing, data science, healthcare technology, and algorithm development. Participants with a background in quantum computing, machine learning, healthcare analytics, or related technical fields will find this workshop particularly beneficial.
Outcomes
- Participants will gain an in-depth understanding of leveraging quantum algorithms for disease prediction learning how to prepare datasets specifically for predictive modeling in healthcare contexts using quantum algorithms. They will be equipped to recognize the significance of data-driven predictive models in healthcare and understand the steps involved in their creation. Additionally, attendees will leave with practical knowledge of implementing various quantum algorithms suited for disease prediction scenarios.
Objective
- The primary objective is to provide attendees with good knowledge and practical skills to develop predictive algorithms in healthcare using quantum computing techniques. By delving into quantum algorithms’ role in disease prediction and offering hands-on coding sessions, the workshop aims to empower participants to apply these concepts in their research or professional projects.
Aim
- By offering a comprehensive understanding of how quantum algorithms can be applied in healthcare scenarios, this workshop aims to equip participants with the knowledge and practical tools to leverage quantum computing techniques effectively in disease prediction models.
Workshop Abstract
- This workshop offers a deep dive into the intersection of quantum computing and healthcare predictive modeling. Attendees will explore the critical role of data-driven predictive models in disease prediction and understand the specific steps involved in preparing datasets tailored for quantum algorithm-based predictive modeling in healthcare. The workshop will introduce various quantum algorithms suitable for disease prediction scenarios, accompanied by practical demonstrations and coding exercises. Participants will gain the expertise needed to utilize quantum computing techniques effectively in healthcare analytics and algorithm development.