Machine Learning and Deep Learning for Cancer Diagnosis via Logistic Regression: The Significance of Artificial Intelligenc

Authors

  • Subash Kuma Author
  • Subash Kumar Author

Keywords:

Machine learning, Deep learning, Artificial intelligence, Medicine, Lung cancer, Breast cancer, Cancer prognosis and prediction, Data science, Logistic regression, Regression, Supervised machine learning

Abstract

Artificial intelligence (AI) may be defined in a variety of ways. “The Study of the computations that make it possible to perceive, 
reason, act and predict the future possible outcomes” is one definition of artificial intelligence (“AI”). Artificial intelligence (AI), 
often known as machine intelligence, is a subfield of computer science that focuses on creating intelligent computer programs 
that can do tasks normally performed by people.We need high-quality computer assistance to make better use of our material 
and human resources as the world becomes more complicated. Some examples of potential applications include the following: 
the use of computer-controlled robots to manage pests, trim trees, and harvest mixed crops selectively in the agricultural sector.
The tedious and sometimes hazardous tasks of assembly, inspection, and maintenance should be handled by computer-con
trolled robots in the manufacturing industry.Medical professionals should be able to use computers to aid in diagnosis, patient 
status monitoring, therapy management, and even bed making.In the realm of household tasks, computers need to provide 
gastronomic and grocery store recommendations, sweep, mow, wash, and tend to any necessary repairs.In the classroom, com
puters shouldn’t only respond to students’ mistakes; they should comprehend the reasons behind them. Students can better 
grasp physics and music with the use of computers that depict planetary orbits and play musical scores (¹). Computers would be 
the greatest gift to humanity if they could aid medical professionals with diagnosis, track patients’ vitals, and provide guidance 
to interdisciplinary teams

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Published

2022-10-18