User:KonradJ

2023 Week 1: (May 30th - June 4th)

Tuesday (5/30)

• Attended REU oreintation
• Met with peers and mentors

Wednesday (5/31)

• Attended lecture lead by Brylow about research papers and how to log progress properly
• Met with mentor to talk about goals and milestones and shared research papers to read (will update tomorrow)

Thursday (6/1)

• Sadly most of my day was consumed with moving into my apartment so minimized my ability to work
• Went over my first research paper with a surface level reading.
  • Assessment of Medical Reports Uncertainity through Topic Modeling and Machine Learning

Friday (6/2)

• Read various research articles including the one from yesterday more thoroughly
  • Effects of Negation and Uncertainty Stratification on Text-Derived Patient Profile SImilarity
  • Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data
• Took notes on what I wrote later

Sunday (6/4)

• Took more notes on the research papers I've already read
• Began a lengthy research paper
  • Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach
• Prepared Log for this upcoming week

2023 Week 2: (June 5th - June 11th)

Monday (6/5)

• Met with group for federally mandated training.

Tuesday (6/6)

• Met with peers and discussed where evyerone was at in their process
• Finished the lengthy research paper from the other day
• Read the last of my research papers
  • Challenges and opportunities beyond structured data in analysis of electronic health records
• Got up to the first lab of a coursera course recommended by my mentor

Wednesday (6/7)

• Completed 2 coursera labs
• Met with peers and discussed milestones before hearing a lecture on technical writing and presenting from Dr. Brylow
• Met with my mentor and talked about goals for this week
  • Reviewing the relevent data in the form of csv files

Thursday (6/8)

• Got to the end of the first section of coursera and began the lab associated
• Began looking at relevent files for the summer project
  • Csv files that contain patient data that we will use to practice uncertainty quantifying strategies

Friday (6/9)

• Dug deeper into research papers I had read to find what the most perteinent files were for the MIMIC-III dataset
  • Seems like the best dataset for us would be the D_ICD_DIAGNOSES.csv which has ICD-9 codes for each diagnoses
• Continued online natural language processing course through coursera
  • Naive Bayes, Bayes Rule, Laplacian smoothing, and log likelihood

Sunday (6/11)

• Completed week 2 on Naive Bayes in Coursera
  • Got passing grade on week 2 quiz on material and completed all labs
• Started Week 3 course on Vector Space Models
  • Completed a couple labs