Journaling in Code

Growing up, all I was obligated to do was be interested in maths and sciences, but something appealed to me and stayed in the back of my mind — writing every letter of my thoughts out. I didn’t start writing until the beginning of this year, but ever since I started, there’s not a single thing I can think of that makes writing boring. 

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The Magnificent Potential of Machine Learning

By: Melissa Liu

Machine learning is the usage of computer programs which automatically improve its algorithms. The program learns through experience by using statistics to find patterns in mass groups of data: a prominent subset of artificial intelligence (1).  For example, machine learning can detect patterns of specific diseases within “patient electronic healthcare records and inform clinicians of any anomalies” in a dataset of people with benign and malignant tumors of breast cancer (2). Machine learning in mental health has mainly been implemented to identify specific biomarkers, develop treatment plans, and predict crises (3). David Benrimoh, a psychiatry resident at McGill University, claims that machine learning algorithms will aid doctors in doing a “better job at determining relevant subtypes of different disorders and which treatments are most effective” to utilize. Through identifying sub-categories, doctors and mental health experts will “develop more catered treatment plans and medication dosages” (3), tailoring to precision medicine. 

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