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Introduction to Cognitive Psychology01:20

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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Evidence-based pathology in its second decade: toward probabilistic cognitive computing.

Alberto M Marchevsky1, Ann E Walts1, Mark R Wick2

  • 1Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048.

Human Pathology
|September 25, 2016
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Summary
This summary is machine-generated.

Cognitive computing, using IBM Watson Analytics, rapidly predicts pulmonary carcinoid tumor prognosis. This approach offers comparable results to traditional statistics with less effort and interactive visualizations for patient subgroups.

Keywords:
Cognitive computingEvidence-basedIBM WatsonPathologyPredictive analytics

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Area of Science:

  • Pathology
  • Computational Biology
  • Oncology

Background:

  • Evidence-based pathology integrates literature data and clinical experience for patient care decisions.
  • Traditional statistical methods for prognosis prediction have limitations in accurately forecasting individual patient outcomes.
  • Cognitive computing, combining data mining and predictive analytics, shows promise for forecasting future events.

Purpose of the Study:

  • To demonstrate the utility of IBM Watson Analytics for evaluating and predicting the prognosis of pulmonary carcinoid tumors.
  • To compare the performance of IBM Watson Analytics with traditional statistical software in prognostic prediction.
  • To explore the application of cognitive computing in personalized cancer prognosis.

Main Methods:

  • Utilized IBM Watson Analytics software for data analysis.
  • Analyzed data from 101 patients with typical and atypical pulmonary carcinoid tumors, including Ki-67 indices.
  • Compared results with those obtained from routine statistical software and expert statisticians.

Main Results:

  • IBM Watson Analytics provided statistically comparable results to traditional methods.
  • The software delivered results more rapidly and with less user effort.
  • Interactive graphics and natural language analysis capabilities enhanced user experience and provided detailed survival predictions for patient subgroups.

Conclusions:

  • IBM Watson Analytics is an efficient tool for prognostic prediction in pulmonary carcinoid tumors.
  • Cognitive computing offers a powerful, user-friendly approach to evidence-based pathology.
  • This technology has potential applications for improving patient care through accurate and rapid prognostic assessments.