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recognisemeimthebest/README.md

πŸ₯ Nurse & πŸ’» Medical AI Developer | recognisemeimthebest

κ°„ν˜Έν•™ μ „κ³΅μ˜ μž„μƒμ  톡찰λ ₯κ³Ό 데이터 μ‚¬μ΄μ–ΈμŠ€ κΈ°μˆ μ„ κ²°ν•©ν•˜μ—¬, ν™˜μž μ•ˆμ „μ„ μœ„ν•œ CDSS(μž„μƒ μ˜μ‚¬κ²°μ • 지원 μ‹œμŠ€ν…œ) 및 지λŠ₯ν˜• 의료기기 κ°œλ°œμ— μ£Όλ ₯ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€.

πŸ›  Skills & Interests

Medical AI & Data Science

  • Languages: Python (Pandas, NumPy, Scikit-learn)
  • Focus: 의료 데이터 뢄석, μž„μƒ μ˜μ‚¬κ²°μ • 지원 μ‹œμŠ€ν…œ (CDSS)
  • Projects: 응급싀 쀑증도 λΆ„λ₯˜(Triage) μ΅œμ ν™”, 방사선 치료 κ²°κ³Ό 예츑 λͺ¨λΈ

Embedded & Medical IoT

  • Hardware: nRF52840, Seeed XIAO, Raspberry Pi
  • Sensors: I2S MEMS Microphones (ICS43434), Audio Codecs (TLV320DAC3100)
  • Projects: AI 기반 μ „μž 청진기 (μ‹¬μŒ 및 폐음 뢄석 ν”„λ‘œν† νƒ€μ΄ν•‘)

Domain Expertise

  • Background: κ°„ν˜Έν•™κ³Ό μ‘Έμ—…
  • Knowledge: κ°„ν˜Έν•™, 기계곡학

πŸ“‚ Featured Projects

πŸŽ™οΈ AI Electronic Stethoscope

  • Description: ν•˜λ“œμ›¨μ–΄ 섀계뢀터 AI λΆ„μ„κΉŒμ§€ ν†΅ν•©λœ 지λŠ₯ν˜• 청진기 개발.
  • Tech: nRF52840, Python, Digital Signal Processing (DSP).
  • Role: μ„Όμ„œ 데이터 μˆ˜μ§‘ μ‹œμŠ€ν…œ ꡬ좕 및 μ‹ ν˜Έ 처리 둜직 개발.

🧠 Clinical Decision Support System (CDSS)

  • Description: 의료 빅데이터λ₯Ό ν™œμš©ν•œ 진단 보쑰 및 예츑 λͺ¨λΈλ§ ν”„λ‘œμ νŠΈ.
  • Focus: 응급싀 데이터셋을 ν™œμš©ν•œ 쀑증도 λΆ„λ₯˜ μ•Œκ³ λ¦¬μ¦˜ 고도화.

πŸŽ“ Background & Leadership

  • Education: κ°„ν˜Έν•™κ³Ό 학사 μ‘Έμ—…
  • Leadership: κ°„ν˜Έν•™κ³Ό ν•™μƒνšŒμž₯ μ—­μž„
  • Global Mindset: 호주 고등학ꡐ μ‘Έμ—… (English Proficiency)

πŸ“« Contact & Socials

  • Email: (본인의 이메일 μ£Όμ†Œλ₯Ό μž…λ ₯ν•˜μ„Έμš”)

  • LinkedIn: Your LinkedIn Profile

  • πŸ₯ Nurse & πŸ’» Medical AI Developer | recognisemeimthebest

By combining clinical insights from a nursing background with data science technology, I focus on developing CDSS (Clinical Decision Support Systems) and Intelligent Medical Devices to enhance patient safety.

πŸ›  Skills & Interests

Medical AI & Data Science

  • Languages: Python (Pandas, NumPy, Scikit-learn)
  • Focus: Medical Data Analysis, Clinical Decision Support Systems (CDSS)
  • Projects: ER Triage Optimization, Radiation Therapy Outcome Prediction Models

Embedded & Medical IoT

  • Hardware: nRF52840, Seeed XIAO, Raspberry Pi
  • Sensors: I2S MEMS Microphones (ICS43434), Audio Codecs (TLV320DAC3100)
  • Projects: AI-powered Electronic Stethoscope (Heart & Lung Sound Analysis Prototyping)

Domain Expertise

  • Background: B.S. in Nursing
  • Knowledge: Nursing Science, Mechanical Engineering

πŸ“‚ Featured Projects

πŸŽ™οΈ AI Electronic Stethoscope

  • Description: Developed an end-to-end intelligent stethoscope, from hardware design to AI-based analysis.
  • Tech Stack: nRF52840, Python, Digital Signal Processing (DSP).
  • Role: Built sensor data acquisition systems and developed signal processing logic.

🧠 Clinical Decision Support System (CDSS)

  • Description: Medical big data project for diagnostic assistance and predictive modeling.
  • Focus: Enhancing triage algorithms using emergency department datasets.

πŸŽ“ Background & Leadership

  • Education: Bachelor of Science in Nursing (B.S.N.)
  • Leadership: Former President of the Student Council (Nursing Dept.)
  • Global Mindset: High school graduate from Australia (Fluent in English)

πŸ“« Contact & Socials

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