Evidence map›Paper›PMID 32560732›Full record

ArticleBiomedical engineering online2020

Computer-aided therapeutic diagnosis for anorexia.

Dominik Spinczyk, Mateusz Bas, Mariusz Dzieciątko, Michał Maćkowski, Katarzyna Rojewska, Stella Maćkowska

Abstract read
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Article in Biomedical engineering online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dominik SpinczykFaculty of Biomedical Engineering, Silesian University of Technology, 40 Roosevelta, 41-800, Zabrze, Poland. dspinczyk@polsl.pl.ORCID http://orcid.org/0000-0003-0068-2948
Mateusz BasFaculty of Biomedical Engineering, Silesian University of Technology, 40 Roosevelta, 41-800, Zabrze, Poland.
Mariusz DzieciątkoSAS Institute Sp. z o.o, Gdańska 27/31, 01-633, Warsaw, Poland.
Michał MaćkowskiFaculty of Automatic Control, Electronic and Computer Science, Silesian University of Technology, 16 Akademicka, 44-100, Gliwice, Poland.
Katarzyna RojewskaFaculty of Pedagogy and Psychology, University of Silesia in Katowice, 53 Grażyńskiego, 40-126, Katowice, Poland.
Stella MaćkowskaFaculty of Biomedical Engineering, Silesian University of Technology, 40 Roosevelta, 41-800, Zabrze, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnorexia nervosa is a clinical disorder syndrome of the wide spectrum without a fully recognized etiology. The necessary issue in the clinical diagnostic process is to detect the causes of this disease (e.g., my body image, food, family, peers), which the therapist gradually comes to by verifying assumptions using proper methods and tools for diagnostic process. When a person is diagnosed with anorexia, a clinician (a doctor, a therapist or a psychologist) proposes a therapeutic diagnosis and considers the kind of treatment that should be applied. This process is also continued during therapeutic diagnosis. In both cases, it is recommended to apply computer-aided tools designed for testing and confirming the assumptions made by a psychologist. The paper aims to present the computer-aided therapeutic diagnosis method for anorexia. The proposed method consists of 4 stages: free statements of a patient about his/her body image, the general sentiment analysis of statement based on Recurrent Neural Network, assessment of the intensity of five basic emotions: happiness, anger, sadness, fear and disgust (using the Nencki Affective Word List and conversion of words to their basic form), and the assessment of particular areas of difficulties-the sentiment analysis based on the dictionary approach was applied.

resultsThe sentiment analysis of a document achieved 72% and 51% of effectiveness, respectively, for RNN and dictionary-based methods. The intensity of sadness (emotion) occurring within the dictionary method is differentiated between control and research group at the level of 10%.

conclusionThe quick access to the sentiment analysis of a statement on the image of patient's body, emotions experienced by the patient and particular areas of difficulties of people prone to the anorexia nervosa disorders, may help to establish the diagnosis in a very short time and start an immediate therapy. The proposed automatic method helps to avoid patient's aversions towards the therapy, which may include avoiding patient-therapist communication, talking about less essential topics, coming late for the sessions. These circumstances can guarantee promising prognosis for recovering.

Indexed as

Diagnosis, Computer-AssistedMachine LearningAdultAnorexiaFemaleHumansMaleSurveys and QuestionnairesAffective verbal stimuliAnorexia nervosaEmotionNencki Affective Word ListSentiment analysisSentiment dictionaryText classifiersText mining

Identifiers

PMID32560732
PMCPMC7304093

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.