scholarly journals Predicting the gender of individuals with tinnitus based on daily life data of the TrackYourTinnitus mHealth platform

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Johannes Allgaier ◽  
Winfried Schlee ◽  
Berthold Langguth ◽  
Thomas Probst ◽  
Rüdiger Pryss
Keyword(s):  
Machine Learning ◽  
Gender Differences ◽  
Daily Life ◽  
Sound Stimulation ◽  
Life Data ◽  
Symptom Profiles ◽  
Symptom Profile ◽  
The Family ◽  
Gender Impacts ◽  
Over Time

AbstractTinnitus is an auditory phantom perception in the absence of an external sound stimulation. People with tinnitus often report severe constraints in their daily life. Interestingly, indications exist on gender differences between women and men both in the symptom profile as well as in the response to specific tinnitus treatments. In this paper, data of the TrackYourTinnitus platform (TYT) were analyzed to investigate whether the gender of users can be predicted. In general, the TYT mobile Health crowdsensing platform was developed to demystify the daily and momentary variations of tinnitus symptoms over time. The goal of the presented investigation is a better understanding of gender-related differences in the symptom profiles of users from TYT. Based on two questionnaires of TYT, four machine learning based classifiers were trained and analyzed. With respect to the provided daily answers, the gender of TYT users can be predicted with an accuracy of 81.7%. In this context, worries, difficulties in concentration, and irritability towards the family are the three most important characteristics for predicting the gender. Note that in contrast to existing studies on TYT, daily answers to the worst symptom question were firstly investigated in more detail. It was found that results of this question significantly contribute to the prediction of the gender of TYT users. Overall, our findings indicate gender-related differences in tinnitus and tinnitus-related symptoms. Based on evidence that gender impacts the development of tinnitus, the gathered insights can be considered relevant and justify further investigations in this direction.

scholarly journals Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study (Preprint)

2019 ◽  
Author(s):  
Rüdiger Pryss ◽  
Winfried Schlee ◽  
Burkhard Hoppenstedt ◽  
Manfred Reichert ◽  
Myra Spiliopoulou ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mobile Health ◽  
Daily Life ◽  
Research Question ◽  
Support Vector ◽  
Life Data ◽  
Machine Learning Methods ◽  
Ecological Momentary ◽  
Momentary Assessment

BACKGROUND Tinnitus is often described as the phantom perception of a sound and is experienced by 5.1% to 42.7% of the population worldwide, at least once during their lifetime. The symptoms often reduce the patient’s quality of life. The TrackYourTinnitus (TYT) mobile health (mHealth) crowdsensing platform was developed for two operating systems (OS)—Android and iOS—to help patients demystify the daily moment-to-moment variations of their tinnitus symptoms. In all platforms developed for more than one OS, it is important to investigate whether the crowdsensed data predicts the OS that was used in order to understand the degree to which the OS is a confounder that is necessary to consider. OBJECTIVE In this study, we explored whether the mobile OS—Android and iOS—used during user assessments can be predicted by the dynamic daily-life TYT data. METHODS TYT mainly applies the paradigms ecological momentary assessment (EMA) and mobile crowdsensing to collect dynamic EMA (EMA-D) daily-life data. The dynamic daily-life TYT data that were analyzed included eight questions as part of the EMA-D questionnaire. In this study, 518 TYT users were analyzed, who each completed at least 11 EMA-D questionnaires. Out of these, 221 were iOS users and 297 were Android users. The iOS users completed, in total, 14,708 EMA-D questionnaires; the number of EMA-D questionnaires completed by the Android users was randomly reduced to the same number to properly address the research question of the study. Machine learning methods—a feedforward neural network, a decision tree, a random forest classifier, and a support vector machine—were applied to address the research question. RESULTS Machine learning was able to predict the mobile OS used with an accuracy up to 78.94% based on the provided EMA-D questionnaires on the assessment level. In this context, the daily measurements regarding how users concentrate on the actual activity were particularly suitable for the prediction of the mobile OS used. CONCLUSIONS In the work at hand, two particular aspects have been revealed. First, machine learning can contribute to EMA-D data in the medical context. Second, based on the EMA-D data of TYT, we found that the accuracy in predicting the mobile OS used has several implications. Particularly, in clinical studies using mobile devices, the OS should be assessed as a covariate, as it might be a confounder.

scholarly journals Applying Machine Learning to Daily-Life Data From the TrackYourTinnitus Mobile Health Crowdsensing Platform to Predict the Mobile Operating System Used With High Accuracy: Longitudinal Observational Study

10.2196/15547 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15547 ◽  
Author(s):  
Rüdiger Pryss ◽  
Winfried Schlee ◽  
Burkhard Hoppenstedt ◽  
Manfred Reichert ◽  
Myra Spiliopoulou ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mobile Health ◽  
Daily Life ◽  
Research Question ◽  
Support Vector ◽  
Life Data ◽  
Machine Learning Methods ◽  
Ecological Momentary ◽  
Momentary Assessment

Background Tinnitus is often described as the phantom perception of a sound and is experienced by 5.1% to 42.7% of the population worldwide, at least once during their lifetime. The symptoms often reduce the patient’s quality of life. The TrackYourTinnitus (TYT) mobile health (mHealth) crowdsensing platform was developed for two operating systems (OS)—Android and iOS—to help patients demystify the daily moment-to-moment variations of their tinnitus symptoms. In all platforms developed for more than one OS, it is important to investigate whether the crowdsensed data predicts the OS that was used in order to understand the degree to which the OS is a confounder that is necessary to consider. Objective In this study, we explored whether the mobile OS—Android and iOS—used during user assessments can be predicted by the dynamic daily-life TYT data. Methods TYT mainly applies the paradigms ecological momentary assessment (EMA) and mobile crowdsensing to collect dynamic EMA (EMA-D) daily-life data. The dynamic daily-life TYT data that were analyzed included eight questions as part of the EMA-D questionnaire. In this study, 518 TYT users were analyzed, who each completed at least 11 EMA-D questionnaires. Out of these, 221 were iOS users and 297 were Android users. The iOS users completed, in total, 14,708 EMA-D questionnaires; the number of EMA-D questionnaires completed by the Android users was randomly reduced to the same number to properly address the research question of the study. Machine learning methods—a feedforward neural network, a decision tree, a random forest classifier, and a support vector machine—were applied to address the research question. Results Machine learning was able to predict the mobile OS used with an accuracy up to 78.94% based on the provided EMA-D questionnaires on the assessment level. In this context, the daily measurements regarding how users concentrate on the actual activity were particularly suitable for the prediction of the mobile OS used. Conclusions In the work at hand, two particular aspects have been revealed. First, machine learning can contribute to EMA-D data in the medical context. Second, based on the EMA-D data of TYT, we found that the accuracy in predicting the mobile OS used has several implications. Particularly, in clinical studies using mobile devices, the OS should be assessed as a covariate, as it might be a confounder.

The Matter of Kinship

2021 ◽  
pp. 74-99
Author(s):  
Suzanna Ivanič
Keyword(s):  
Family Life ◽  
Daily Life ◽  
Divine Power ◽  
The Family ◽  
The Moment ◽  
Kinship Bonds ◽  
Over Time

Alongside natural matter, the ‘matter of kinship’ was a channel through which to negotiate divine power in the cosmos. Objects were integral to constituting kinship and forming devotional communities before God. Gifts exchanged between kith and kin on the occasion of baptism, marriage, and death reveal the dynamic nexus of objects and kinship within the cosmos, to which love was central. Gifts, bequests, trades, transfers, and exchanges of all kinds acted to create and sustain kinship bonds as an important part of devotion. Such objects were not only important during the moment of their initial production and use, but also as they were embedded in the daily life of the family and became constant reminders of the Christian lifecycle. Over time such items were woven more deeply into the fabric of daily family life by being given, used, or inherited down the generations.

Emotional Variability Predicts Tiredness in Daily Life

2016 ◽  
Vol 37 (3) ◽  
pp. 181-193 ◽  
Author(s):  
Aire Mill ◽  
Anu Realo ◽  
Jüri Allik
Keyword(s):  
Sampling Method ◽  
Daily Life ◽  
Emotional Experience ◽  
Experience Sampling ◽  
Experience Sampling Method ◽  
Building Blocks ◽  
Intraindividual Variability ◽  
Unique Role ◽  
Over Time

Abstract. Intraindividual variability, along with the more frequently studied between-person variability, has been argued to be one of the basic building blocks of emotional experience. The aim of the current study is to examine whether intraindividual variability in affect predicts tiredness in daily life. Intraindividual variability in affect was studied with the experience sampling method in a group of 110 participants (aged between 19 and 84 years) during 14 consecutive days on seven randomly determined occasions per day. The results suggest that affect variability is a stable construct over time and situations. Our findings also demonstrate that intraindividual variability in affect has a unique role in predicting increased levels of tiredness at the momentary level as well at the level of individuals.

The Development of Homologous (Canine/Anti-Canine) Antibodies in Dogs with Haemophilia A (Factor VIII Deficiency): A Ten-Year Longitudinal Study

1993 ◽  
Vol 69 (01) ◽  
pp. 021-024 ◽  
Author(s):  
Shawn Tinlin ◽  
Sandra Webster ◽  
Alan R Giles
Keyword(s):  
Factor Viii ◽  
Canine Model ◽  
Significant Inhibition ◽  
Human Condition ◽  
Haemophilia A ◽  
Variable Expression ◽  
The Family ◽  
Over Time

SummaryThe development of inhibitors to factor VIII in patients with haemophilia A remains as a serious complication of replacement therapy. An apparently analogous condition has been described in a canine model of haemophilia A (Giles et al., Blood 1984; 63:451). These animals and their relatives have now been followed for 10 years. The observation that the propensity for inhibitor development was not related to the ancestral factor VIII gene has been confirmed by the demonstration of vertical transmission through three generations of the segment of the family related to a normal (non-carrier) female that was introduced for breeding purposes. Haemophilic animals unrelated to this animal have not developed functionally significant factor VIII inhibitors despite intensive factor VIII replacement. Two animals have shown occasional laboratory evidence of factor VIII inhibition but this has not been translated into clinical significant inhibition in vivo as assessed by clinical response and F.VIII recovery and survival characteristics. Substantial heterogeneity of inhibitor expression both in vitro and in vivo has been observed between animals and in individual animals over time. Spontaneous loss of inhibitors has been observed without any therapies designed to induce tolerance, etc., being instituted. There is also phenotypic evidence of polyclonality of the immune response with variable expression over time in a given animal. These observations may have relevance to the human condition both in determining the pathogenetic factors involved in this condition and in highlighting the heterogeneity of its expression which suggests the need for caution in the interpretation of the outcome of interventions designed to modulate inhibitor activity.

Physical environment and daily life in the Sanctuary of Poseidon at Kalaureia, Poros. The bioarchaeological remains

2019 ◽  
pp. 159-172 ◽  
Author(s):  
Arto Penttinen ◽  
Dimitra Mylona
Keyword(s):  
Everyday Life ◽  
Physical Environment ◽  
Daily Life ◽  
Soil Samples ◽  
Crucial Importance ◽  
Archaeological Excavation ◽  
Research Project ◽  
The Everyday ◽  
Over Time

The section below contains reports on bioarchaeological remains recovered in the excavations in Areas D and C in the Sanctuary of Poseidon at Kalaureia, Poros, between 2003 and 2005. The excavations were directed by the late Berit Wells within a research project named Physical Environment and Daily Life in the Sanctuary of Poseidon at Kalaureia (Poros). The main objective of the project was to study what changed and what remained constant over time in the everyday life and in both the built and physical environment in an important sanctuary of the ancient Greeks. The bioarchaeological remains, of a crucial importance for this type of study, were collected both by means of traditional archaeological excavation and by processing extensively collected soil samples. This text aims to providing the theoretical and archaeological background for the analyses that follow.

Stability and Fluctuation of Personality Disorder Features in Daily Life

2018 ◽  
Author(s):  
Aidan G.C. Wright ◽  
Leonard Simms
Keyword(s):  
Personality Disorder ◽  
Daily Life ◽  
Daily Diary ◽  
Personality Pathology ◽  
Dynamic Processes ◽  
Diary Study ◽  
Daily Diary Study ◽  
Symptom Exacerbation ◽  
High Degree ◽  
Over Time

Very little is known about the daily stability and fluctuation of personality pathology. To address this gap in knowledge, we investigated the naturalistic manifestation of personality pathology over the course of 100 days. A group of individuals (N=101) diagnosed with any personality disorder (PD) completed a daily diary study over 100 consecutive days (Mdn = 94 days, Range = 33-101 days). Participants completed daily ratings of 30 manifestations of personality pathology. Patterns of stability and variability over the course of the study were then examined. Results indicated that individual PD manifestations and domains of PD manifestations were variable across days and differed widely in their frequency. Additionally, individual averages and level of variability in PD domains were highly stable across months, individual averages of PD domains were predicted by baseline dispositional ratings of PD traits with a high degree of specificity, and daily variability PD domains was associated with elevated levels of PD traits. This pattern of findings suggests that dynamic processes of symptom exacerbation and diminution that are stable in mean level and variability in expression over time characterizes personality pathology. Further, dispositional ratings are significant predictors of average daily expression of PD features.

CITRA PEREMPUAN DALAM NOVEL BURUNG TIUNG SERI GADING KARYA HASAN JUNUS

2017 ◽  
Vol 5 (2) ◽  
pp. 157
Author(s):  
Chrisna Putri Kurniati
Keyword(s):  
Qualitative Research ◽  
Everyday Life ◽  
Gender Inequality ◽  
Daily Life ◽  
Primary Data ◽  
Gender Analysis ◽  
Female Characters ◽  
Feminist Literature ◽  
The Family ◽  
Status Of Women

This study entitles ―Citra Perempuan in Novel Burung Tiung Seri Gading Written by Hasan Junus‖. Problem in this research about the image of women and the gender inequities in the novel.This study aims to describe, express women‘s image and the discrimination of gender in novel Burung Tiung Seri Gading. The use of this study is to inform people in general and readers in particular about the roles and status of women in society reflected in novel Burung Tiung Seri Gading. The theory used is feminist literature criticism. This is a qualitative research. using the book study method. Primary data that is Burung Tiung Seri Gading novel Hasan Junus work published by Dinas Kebudayaan dan Pariwisata Provinsi Riau, Pekanbaru 2009185 pages thick.The steps of the research are (1) identify the female characters in literature, (2) seek the position of these figures in everyday life in society, good relations within the family or in society at large, (3) gender inequality would be viewed through a gender analysis ofits image of women in daily life. The conclusions of this study are that the roles and status of women in society get women not be able to avoid their housework and the discrimination of gender. AbstrakPenelitian ini berjudul ―Citra Perempuan dalam Novel Burung Tiung Seri Gading Karya Hasan Junus‖. Permasalahan dalam penelitian ini tentang citra perempuan dan terjadinya ketidakadilan gender dalam novel. Tujuan penelitian ini adalah mendeskripsikan citra perempuan dan mendeskripsikan ketidakadilan gender dalam novel Burung Tiung Seri Gading. Tujuan Penelitian ini adalah memberikan pengetahuan kepada pembaca khususnya dan masyarakat pada umumnya tentang peran dan kedudukan perempuan dalam masyarakat yang tercermin dalam novel Burung Tiung Seri Gading serta memberikan pengetahuan kepada pembaca tentang terjadinya ketidakadilan gender dalam masyarakat yang tercermin dalam novel Burung Tiung Seri Gading. Teori yang digunakan adalah kritik sastra feminis. Penelitian ini bersifat kualitatif dengan menggunakan metode studi pustaka. Data primernya bersumberkan pada novel Burung Tiung Seri Gading karya Hasan Junus yang diterbitkan oleh Dinas Kebudayaan dan Pariwisata Provinsi Riau, Pekanbaru, 2009 setebal 185 halaman. Kesimpulan yang dapat diambil dalam penelitian ini adalah adanya peran dan kedudukan perempuan di masyarakat membuat perempuan belum bisa lepas dari pekerjaan domestik serta perempuan adalah korban dari ketidakadilan gender.

A Survey for Predicting Enzyme Family Classes Using Machine Learning Methods

2019 ◽  
Vol 20 (5) ◽  
pp. 540-550 ◽  
Author(s):  
Jiu-Xin Tan ◽  
Hao Lv ◽  
Fang Wang ◽  
Fu-Ying Dao ◽  
Wei Chen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Catalytic Mechanism ◽  
Biological Function ◽  
Learning Methods ◽  
Biochemical Processes ◽  
Machine Learning Methods ◽  
Enzyme Family ◽  
The Family ◽  
Speed Up ◽  
Family Classification

Enzymes are proteins that act as biological catalysts to speed up cellular biochemical processes. According to their main Enzyme Commission (EC) numbers, enzymes are divided into six categories: EC-1: oxidoreductase; EC-2: transferase; EC-3: hydrolase; EC-4: lyase; EC-5: isomerase and EC-6: synthetase. Different enzymes have different biological functions and acting objects. Therefore, knowing which family an enzyme belongs to can help infer its catalytic mechanism and provide information about the relevant biological function. With the large amount of protein sequences influxing into databanks in the post-genomics age, the annotation of the family for an enzyme is very important. Since the experimental methods are cost ineffective, bioinformatics tool will be a great help for accurately classifying the family of the enzymes. In this review, we summarized the application of machine learning methods in the prediction of enzyme family from different aspects. We hope that this review will provide insights and inspirations for the researches on enzyme family classification.

Multiple Selves and Multitasking: A Dynamic Longitudinal Study

2021 ◽  
pp. 009365022199149
Author(s):  
Shan Xu ◽  
Zheng Wang
Keyword(s):  
College Students ◽  
Longitudinal Study ◽  
Daily Life ◽  
The Self ◽  
Daily Activities ◽  
Self Concept ◽  
Emotional Experiences ◽  
Multiple Selves ◽  
Dynamic Panel ◽  
Over Time

This study integrates the theory of multiple selves within the theoretical framework of dynamic motivational activation (DMA) to identify the dynamic patterns of multiple self-concepts (i.e., the potential self, the actual self) in multitasking (e.g., primary and secondary activities) in daily life. A three-week experience sampling study was conducted on college students. Dynamic panel modeling results suggest that the self-concepts are both sustaining and shifting in daily activities and media activities. Specifically, the potential and actual selves sustained themselves over time in primary and secondary activities, but they also shifted from one to another to achieve a balance in primary activities over time. Interestingly, secondary activities were not driven by the alternative self-concept in primary activities, but instead, by the emotional experiences of primary activities. Furthermore, the findings identified that multitasking to fulfill their actual self did not motivate people to re-prioritize their potential self later.

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