A multiple measurements case-based reasoning method for predicting recurrent status of liver cancer patients

A method for solving the problem of classifying short-text messages in the form of sentences of customers uttered in talking via the telephone line of organizations is considered. To solve this problem, a classifier was developed, which is based on using a combination of two methods: a description of the subject area in the form of a hierarchy of entities and plausible reasoning based on the case-based reasoning approach, which is actively used in artificial intelligence systems. In solving various problems of artificial intelligence-based analysis of data, these methods have shown a high degree of efficiency, scalability, and independence from data structure. As part of using the case-based reasoning approach in the classifier, it is proposed to modify the TF-IDF (Term Frequency - Inverse Document Frequency) measure of assessing the text content taking into account known information about the distribution of documents by topics. The proposed modification makes it possible to improve the classification quality in comparison with classical measures, since it takes into account the information about the distribution of words not only in a separate document or topic, but in the entire database of cases. Experimental results are presented that confirm the effectiveness of the proposed metric and the developed classifier as applied to classification of customer sentences and providing them with the necessary information depending on the classification result. The developed text classification service prototype is used as part of the voice interaction module with the user in the objective of robotizing the telephone call routing system and making a shift from interaction between the user and system by means of buttons to their interaction through voice.

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Detection of P16 and APC gene methylation in peripheral blood with liver cancer patients

Human Health and Medical Engineering ◽

10.2495/hhme130391 ◽

2014 ◽

Author(s):

Lianhua Cui ◽

Yang Song ◽

Zhexun Lian ◽

Jinmei Piao ◽

Chengcheng Li ◽

...

Keyword(s):

Liver Cancer ◽

Cancer Patients ◽

Peripheral Blood ◽

Apc Gene ◽

Gene Methylation

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Feature level intentions based product recommendations with case-based reasoning

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i1.266274 ◽

2018 ◽

Vol 6 (1) ◽

pp. 266-274

Author(s):

D. Teja Santosh ◽

◽

K.C. Ravi Kumar ◽

P. Chiranjeevi ◽

◽

...

Keyword(s):

Case Based Reasoning ◽

Product Recommendations ◽

Case Based

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Prevalence and Characteristics of Liver Cancer Patients in Immanuel Hospital Bandung within January 2013 until December 2014 Period

Journal Of Medicine & Health ◽

10.28932/jmh.v1i4.531 ◽

2016 ◽

Vol 1 (4) ◽

Author(s):

Achmad R. Permadi ◽

Hana Ratnawati ◽

Teresa L. Wargasetia

Keyword(s):

Liver Cancer ◽

Cancer Patients ◽

Medical Records ◽

Clinical Symptoms ◽

Data Retrieval ◽

Common Cancer ◽

Key Words Liver Cancer ◽

Liver Cancer Patient ◽

Right Lobe ◽

The Right

Liver cancer is the fifth most common cancer in Indonesia. This research is to find out the prevalence and characteristics of liver cancer patients in Immanuel Hospital Bandung within the January 2013 until December 2014 period based on age, gender, clinical symptoms and predilections. This study was a descriptive verificative research with data retrieval of patients medical records that have been diagnosed with liver cancer that were hospitalized in Immanuel Hospital Bandung within January 2013 until December 2014 period. The study showed that the liver cancer patient prevalence in Immanuel Hospital Bandung within the period of January 2013 until December 2014 was 46 people. Characteristics of liver cancer patients in Immanuel Hospital Bandung within January 2013 until December 2014 period showed that the most liver cancer patients were male, compare with female with ratio 4:1, the most common age group of 56-65 years old, the most common clinical symptoms were abdominal pain with or without reffered pain to the right scapular bone and the most common predilection was right lobe of the liver. Key words: liver cancer, patients' characteristics, prevalence

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