Although machine learning can show the researchers about the prediction on mental health, there is still a lack of testing being applied in real life due to several reasons. progress in the field that systematically reviews the most exciting advances in scientific literature. [32], Xu et al. In Stage 2, reviewers consider the full study, including results and interpretation. From the results, Marmar et al. [23], Plschke et al. 10, pp. Remote Sensing 28, no. The authors use a random forest method to calculate the probability of mental disorder. From time to time, machine learning and data mining approaches continue to develop rapidly. The studies are being conducted to predict the bipolar disorder among patients by using the machine learning approaches [3440]. Data mining techniques can be separated into two forms, which are supervised learning and unsupervised learning. The widely used algorithms in the field of machine learning such as support vector machine, random forest, and artificial neural networks have been utilized to forecast and categorize the future events [5]. A. E. Tate, R. C. McCabe, H. Larsson, S. Lundstrm, P. Lichtenstein, and R. Kuja-Halkola, Predicting mental health problems in adolescence using machine learning techniques, PLoS One, vol. Jason, am happy to find your site where machine learning and its algorithm are discussed. s4uext=s4upl(); Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami, Sami Abu-El-Haija, Bryan Perozzi, Christopher R, Kevin Murphy, 2022. suggested a PSYCHE system that functions as some wearable device and the data gathered will be further analyzed for predicting the mood changes in bipolar disorder [36]. 119131, 2012. Read the whole article as well as the supplementary material, if there is any, paying close attention to the figures, tables, data, and methods. With random forest, the authors can predict the PTSD with an AUC score of 0.89. 2Ramachandram D, Taylor G W. Deep multimodal learning: A survey on recent advances and trends[J]. Jaiswal, A.; Babu, A.R. [45]. Are they easy to interpret and understand? In a paper conducted by Holzinger et al., the authors encouraged an innovative and interactive explainable approach called counterfactual graphs for the beneficial future interaction between humans and artificial intelligence [59]. 21, no. 1, 2011. [24], and Pinaya et al. The authors have collected and gathered speech samples from warzone-exposed veterans. Please evaluate the ethics statements and data availability statements to ensure they are adequate. Am working on Natural Language Processing and intend to add a machine learning algorithm to it but alas you listed NLP under other type of machine learning algorithm. Wu, I. C. Passos, I. E. Bauer et al., Individualized identification of euthymic bipolar disorder using the cambridge neuropsychological test automated battery (CANTAB) and machine learning, Journal of Affective Disorders, vol. In order to develop more accurate predictive tools, data such as sociodemographics, speech, medical report profiles, and facial expressions of the patients can be recorded or taken via photography combined with magnetic resonance imaging of the brain. gdzie po trudach dnia codziennego z przyjemnoci chcemy powrci. M.-J. 12, pp. Applied Sciences. Besides that, deep learning algorithms are treated as a black box, leading the researchers to have a challenging time trying to explain why and how these deep learning algorithms work. 1996-2022 MDPI (Basel, Switzerland) unless otherwise stated. You are accessing a machine-readable page. Another study shows that neuropsychological tests were also applied machine learning techniques published by Akinci et al. Visit our dedicated information section to learn more about MDPI. Moreover, neural networks and deep learning have recently become more well known among machine learning approaches due to their ability to solve many problems such as image recognition, speech recognition, and natural language processing. M. Hamilton, Development of a rating scale for primary depressive illness, British Journal of Social and Clinical Psychology, vol. [35], Mourao-Miranda et al. Valenza et al. The researchers also performed the prediction with large size of data set. Have the necessary expertise to judge the scientific quality of the manuscript; Provide quality review reports and remain responsive throughout the peer review process; Maintain standards of professionalism and ethics. The vouchers are linked to the reviewers email address and can be applied online during the submission or at any time before the manuscript is accepted. For the data set, they used the multimodal behavioural data from a sample of generalized anxiety disorders, healthy persons, and major depression. [45]. Learning Gdzie cisza i spokj pozwoli na relaks, a ziele nacieszy wzrok. The last part of the process is the discussion and conclusion. Was a similar review published recently and, if yes, is this current review still relevant and of interest to the scientific community? Surveys show that delays in seeking professional treatment for an anxiety disorder are widespread [16]. [45] and Reece et al. Are the statements and conclusions drawn coherent and supported by the listed citations? The research articles were divided and categorized based on the mental health problems such as schizophrenia, bipolar disorder, anxiety and depression, posttraumatic stress disorder, and mental health problems among children. Bloom's taxonomy 3, pp. Istotny atut powstajcego osiedla to jego lokalizacja, bardzo dobrze rozwinita komunikacja miejska, wygodny i bliski dojazd do centrw handlowych oraz blisko kluczowych drg. It is believed that machine learning introduced many types of approaches and learning. Reviewers who accept to review a manuscript are expected to: Reviewing is often an unseen and unrewarded task, despite being crucial. This is difficult to decide whether structural brain alterations are the risk factors, result, or illness source. 3.1. Meanwhile, Bagging obtained an accuracy of 95% followed by support vector machine with an accuracy of 91%. Disclaimer/Publishers Note: The statements, opinions and data contained in all publications are solely Mental health problems will be divided and categorized into several parts. Find support for a specific problem in the support section of our website. G. Roberts, A. Lord, A. Frankland et al., Functional dysconnection of the inferior frontal gyrus in young people with bipolar disorder or at genetic high risk, Biological Psychiatry, vol. Pharmaceutical Sciences Department, Faculty of Pharmacy, Al-Quds University, Jerusalem 20002, Palestine. 6, pp. Then, further analysis will be carried on the data or evidence from the selected articles and papers. Besides that, potential opportunities and gaps in this field for future research will be discussed. Recently, the use of small UAVs for monitoring agricultural land areas has been increasingly used by agricultural producers in order to improve crop yields. S. Srinivasagopalan, J. Barry, V. Gurupur, and S. Thankachan, A deep learning approach for diagnosing schizophrenic patients, Journal of Experimental & Theoretical Artificial Intelligence, vol. In this research conducted by them, features including age, educational qualification, marital status, job profile, type of family, duration of service, existence or nonexistence of heart disease, body mass index, hypertension, and diabetes have been selected to predict the outcome. 2837, 2021. 255260, 2015. Research in the field of mental health has increased recently and contributed to the information and publications about different features of mental health, which can be applied in a wide range of problems [10]. methods, instructions or products referred to in the content. Should you find an interesting manuscript that you would like to review, please click on Apply. Please kindly note that if reviewers are asked to assess a manuscript they previously reviewed for another journal, this is not considered to be a conflict of interest. 219225, 2016. several techniques or approaches, or a comprehensive review paper with concise and precise updates on the latest The conclusions will be presented to conclude this review paper. Wu et al. G. Miner, L. Miner, M. Goldstein et al., Practical Predictive Analytics and Decisioning Systems for Medicine: Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research, Academic Press, Inc., Cambridge, MA, USA, 1st edition, 2016. MDPI and/or articles published under an open access Creative Common CC BY license, any part of the article may be reused without https://doi.org/10.3390/molecules25245789, Breijyeh Z, Karaman R. Comprehensive Review on Alzheimers Disease: Causes and Treatment. MDPI journals operate single- or double-blind peer review (https://www.mdpi.com/editorial_process). In order to identify depression and anxiety at an early age, a model has been proposed by Ahmed et al. articles published under an open access Creative Common CC BY license, any part of the article may be reused without Brak zmiany tych ustawie oznacza akceptacj dla stosowanych tu cookies. Browse our listings to find jobs in Germany for expats, including jobs for English speakers or those in your native language. Most of the machine learning algorithms show promising levels of performance in predicting schizophrenia patients and healthy controls. Five classifiers, which are CatBoost, random forest, logistic regression, naive Bayes, and support vector machine, were chosen on the training data set with 10-fold cross-validation. The random forest recorded an accuracy of 83.33% followed by logistic regression with an accuracy of 82.77%. The researchers should cooperate with a clinical professional to provide important information such as validation, truth, and biases, which could lead to the analysis of data, improve accuracy, and manage deployment risks [52]. The trends of the research based on the topic will be discussed and investigated. This paper presents a recent systematic review of machine learning approaches in predicting mental health problems. Now, there are various techniques to predict the state of mental health due to advancement of technology. It is believed to be a significantly useful tool to help in predicting mental health. A research article published by Srinivasagopalan et al. permission provided that the original article is clearly cited. 921928, 2002. In 2018, Pinaya et al. 16, no. Our internal staff will check your research background and any potential conflicts of interest. The initial term is for 1 year which can then be renewed or terminated. The importance and soundness of the proposed hypotheses; The suitability and feasibility of the experimental and analysis methodology; Whether there are sufficient details given to replicate the proposed experimental procedures and analysis; Whether there are sufficient outcome-neutral tests of the hypotheses, including positive controls and quality checks. You can search by Journal and keyword. Hence, a total of 30 research studies related to the topic will be included and highlighted in this paper. In this paper, there are a total of 30 research papers that have been reviewed and evaluated in which the use of machine learning techniques or approaches in predicting mental health problems is highlighted. Individuals that experience mania often exhibit reckless behaviours. Besides that, mental illness can cause inconvenience to the adults, especially in their families, workplaces, and in the society. Aflaj (plural of falaj) are tunnels or trenches built to deliver groundwater from its source to the point of consumption. For the single nucleotide polymorphism, an accuracy of 74% is obtained. You will find this menu on the left-hand side under Reviewers Menu. 4, pp. Additionally, we provide concrete recommendations on the potential future research and development of applying machine learning in the mental health field. accept or decline any invitations as soon as possible (based on the manuscript title and abstract); suggest alternative reviewers if an invitation must be declined; request a deadline extension as soon as possible in case more time is required to provide a comprehensive report. Visit our dedicated information section to learn more about MDPI. 7, pp. the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, Tests were also applied machine learning and data mining techniques can be into. 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