| Instructors: | Dr. Sedef Yenice (Workshop Chair) Dr. Deniz İlhan Topçu Dr. Hikmet Can Çubukçu |
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| Accreditation: | EFLM CPECS® We are pleased to announce that this course is now recognized by the EFLM Continuing Professional Education Credit System (EFLM CPECS®). |
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| Information: | - 6.0 CPECS® contact hours - Hands-on and interactive format This interactive hands-on course is designed specifically for busy laboratory professionals. It includes examples from current laboratory best practices and provides practical, tangible knowledge that can be applied immediately in your laboratory. At the end of the course, participants will receive a certificate of attendance listing CPECS® credits. |
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| Learning Objectives | At the end of this session, participants will be able to: - Describe the fundamentals of data preprocessing for ML applications designed to process clinical laboratory data using “Python”, - Explain the development of supervised ML models using real laboratory-related datasets. - Discuss the performance of supervised ML models and externally validate them. |
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| Presentation Level | ☐ Basic: Entry level; no prior knowledge of the subject necessary. ☒ Intermediate: Refresher course; some basic knowledge required; for experienced individuals with some years of experience. ☐ Advanced: Highly technical; for those with current skills/knowledge and extensive experience. |
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| İçerik |
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| Date / Time | 29 October 2023 Sunday, 09:00-16:00 | ||||||||
| Specifications | We propose a full-day course (6 hours) that is interactive and engaging with the following objectives: - establish the basic background of current ML methods, - provide a highly interactive session by integrating breakout exercises (BE) with small groups that allow participants to discuss and develop various ML models. Short quiz format questions will be used to introduce a new topic. This gives the instructor an immediate sense of what the learners already know about the topic and allows the instructor to check the learners' memory of previous background information at the beginning. Another short quiz is designed to show learners what they have learned at the end of the session. This course will be held in two parts. The first part focuses on theoretical concepts, and the second part focuses on the practical application of specific laboratory data for clinical decision-making. The structure of the practice in BE is as follows: - All BE will be conducted in small groups. Each instructor will facilitate and supervise these learning groups during BE. - Participants are expected to bring a laptop with Windows or macOS and Chrome browser. - The web-based online platform “Colab Notebook” will be used for the exercises. - It is not necessary to install the appropriate software in advance. The course content is available immediately. - To facilitate code development, each participant will use "Colab Notebook" as a free environment that runs entirely in the cloud. |
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| Quota | Workshop is limited to 30 Participants. | ||||||||
| Language | Turkish | ||||||||
| Pricing | Student 75 EUR Participant 100 EUR |