Magna Notitia

  Ghassemi (2020) presents in a TED.com video how machine learning (ML) algorithms and statistics have been used in healthcare processes, but the goal of predicting disease and employing artificial intelligence (AI) in medical decision-making, has not yet been reached. Ghassemi explains the data used now to train ML algorithms comes from practice and knowledge. Practice data refers to clinical records in hospitals and clinics, treatments offered, including how patients interact with their doctor. Training data derived from knowledge is the kind that is generated in medical trials, articles, and textbooks. The main issue with this algorithm training data is that is generated by doctors who often burn out after providing patient care for long hours each day, resulting in the introduction of bias in the records they generate.  Ghassemi states 35% of doctors report burn out since they not only provide patient care, but several other different tasks. From those reporting burn out, ...

       A n innovation idea that is not possible today, but will most likely be available in the next 15 to 20 years, if not sooner, are powerful machine learning (ML) algorithms capable of editing out genetic defects and complete eradication of disease in the human body through genetic editing known as clustered regularly interspaced short palindromic repeats (CRISPR) (Future Work Institute, n.d.). This technology is already being implemented in the food industry to create high quality products with off-the-charts nutrient compositions, but the potential applications of CRISPR technology in the human genome, including biotech and agriculture, are well known to the scientific community as they research for ways to manage the increasing number of cancer cases and other genetic disorders (Globe Newswire, 2021). Broad Institute (2021) explains the future of CRISPR will make correcting mutations (typos) in humans a possibility, assist in speeding clinical research for dis...

The futuring and innovation course at Colorado Technical University (CTU), is part of the computer science doctoral program. My concentration is big data and decided to remain within my concentration to meet this course's deliverables. Magna notitia is Latin for big data. This blog title intends to emphasize the type of content that can be found in it. This blog is part of my futuring and innovation course, where big data, data science, and business intelligence topics will be discussed. Other discussions may include analytics, technology, innovation, tools, and data visualization. This space will be utilized to reflect on the impacts of big data into everyday life, industry, and government, as well as important technological advances in areas such as artificial intelligence (AI) and machine learning (ML), predictive and prescriptive analytics, and statistical applications, all in efforts to become better data-driven decision-makers, capable of extracting actionable information, in...