Jamil Hussain

University Of Peshawar, Computer Science, Graduate Student

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Computer Science Graduated from Well Reputed University of Pakistan (University of Peshawar) in Recent, FYP done in IoT(Internet of Things) Machine Learning then Shifted to Graphics Designer, Now Working as Trainer & Freelancer
Address: Peshawar, Pakistan

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Papers by Jamil Hussain

A Multimodal Deep Log-Based User Experience (UX) Platform for UX Evaluation

Sensors (Basel, Switzerland), Jan 18, 2018

The user experience (UX) is an emerging field in user research and design, and the development of... more The user experience (UX) is an emerging field in user research and design, and the development of UX evaluation methods presents a challenge for both researchers and practitioners. Different UX evaluation methods have been developed to extract accurate UX data. Among UX evaluation methods, the mixed-method approach of triangulation has gained importance. It provides more accurate and precise information about the user while interacting with the product. However, this approach requires skilled UX researchers and developers to integrate multiple devices, synchronize them, analyze the data, and ultimately produce an informed decision. In this paper, a method and system for measuring the overall UX over time using a triangulation method are proposed. The proposed platform incorporates observational and physiological measurements in addition to traditional ones. The platform reduces the subjective bias and validates the user's perceptions, which are measured by different sensors thro...

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Birth order and psychiatric morbidity

European Psychiatry

1. To determine the frequency of sociodemographic factors (birth order) among subjects attending ... more

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Multi-model-based interactive authoring environment for creating shareable medical knowledge

Computer methods and programs in biomedicine, 2017

Technologically integrated healthcare environments can be realized if physicians are encouraged t... more Technologically integrated healthcare environments can be realized if physicians are encouraged to use smart systems for the creation and sharing of knowledge used in clinical decision support systems (CDSS). While CDSSs are heading toward smart environments, they lack support for abstraction of technology-oriented knowledge from physicians. Therefore, abstraction in the form of a user-friendly and flexible authoring environment is required in order for physicians to create shareable and interoperable knowledge for CDSS workflows. Our proposed system provides a user-friendly authoring environment to create Arden Syntax MLM (Medical Logic Module) as shareable knowledge rules for intelligent decision-making by CDSS. Existing systems are not physician friendly and lack interoperability and shareability of knowledge. In this paper, we proposed Intelligent-Knowledge Authoring Tool (I-KAT), a knowledge authoring environment that overcomes the above mentioned limitations. Shareability is a...

The Impact of Visual Merchandising on Consumer Impulse Buying Behavior

Eurasian Journal of Business and Management, 2014

In this Post-modern Era the present competitive situation in all the businesses are characterized... more In this Post-modern Era the present competitive situation in all the businesses are characterized by a huge cut throat competition and almost at any time the companies and retailers are ready to pay for undifferentiated merchandising. The retailers today are using the merchandising tool to differentiate themselves from other competitors and to be prominent in the market and attract the customers. So many researchers give their contribution in this topic by exploring the different things which causes the customer impulsive buying but still there are more to be determined. The reason of this study is to identify the association among consumer impulsive buying and visual merchandising on buying behavior of customers in stores. This learning was based on primary data and which was composed through the questioners. In this study the 350 questioners were floated but we got 344 questioners which were completed the data was collected from the customers in the big super marts and self-service stores of Rawalpindi Pakistan. We defined four hypotheses window display, forum display, floor merchandising and shop brand name, these hypothesis were tested for regression analysis by using Statistical Packages for Social Sciences (SPSS) software. We found that window display, forum display, floor merchandising and shop brand name (independent variables) were significantly associated to consumer impulse buying behavior (dependent variable). However forum display is negatively related to consumer impulse buying and window display, floor merchandising and shop brand name are positively related to consumer impulse buying behavior.

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Assessment of Knowledge, Attitude and Practices Pattern of Hand Washing in Some Major Public Sector Hospitals of Pakistan (A Multi-Center Study) , Ijaz-ul-Haque Taseer 4

Pakistan Journal of Medical Research, Jul 1, 2012

Knowledge-Based Query Construction Using the CDSS Knowledge Base for Efficient Evidence Retrieval

Sensors, 2015

Finding appropriate evidence to support clinical practices is always challenging, and the constru... more Finding appropriate evidence to support clinical practices is always challenging, and the construction of a query to retrieve such evidence is a fundamental step. Typically, evidence is found using manual or semi-automatic methods, which are time-consuming and sometimes make it difficult to construct knowledge-based complex queries. To overcome the difficulty in constructing knowledge-based complex queries, we utilized the knowledge base (KB) of the clinical decision support system (CDSS), which has the potential to provide sufficient contextual information. To automatically construct knowledge-based complex queries, we designed methods to parse rule structure in KB of CDSS in order to determine an executable path and extract the terms by parsing the control structures and logic connectives used in the logic. The automatically constructed knowledge-based complex queries were executed on the PubMed search service to evaluate the results on the reduction of retrieved citations with high relevance. The average number of citations was reduced from 56,249 citations to 330 citations with the knowledge-based query construction approach, and relevance increased from 1 term to 6 terms on average. The ability to automatically retrieve relevant evidence maximizes efficiency for clinicians in terms of time, based on feedback collected from clinicians. This approach is generally useful in evidence-based medicine, especially in ambient assisted living environments where automation is highly important.

H2RM: A Hybrid Rough Set Reasoning Model for Prediction and Management of Diabetes Mellitus

Sensors, 2015

Diabetes is a chronic disease characterized by high blood glucose level that results either from ... more Diabetes is a chronic disease characterized by high blood glucose level that results either from a deficiency of insulin produced by the body, or the body's resistance to the effects of insulin. Accurate and precise reasoning and prediction models greatly help physicians to improve diagnosis, prognosis and treatment procedures of different diseases. Though numerous models have been proposed to solve issues of diagnosis and management of diabetes, they have the following drawbacks: (1) restricted one type of diabetes; (2) lack understandability and explanatory power of the techniques and decision; (3) limited either to prediction purpose or management over the structured contents; and (4) lack competence for dimensionality and vagueness of patient's data. To overcome these issues, this paper proposes a novel hybrid rough set reasoning model (H2RM) that resolves problems of inaccurate prediction and management of type-1 diabetes mellitus (T1DM) and type-2 diabetes mellitus (T2DM). For verification of the proposed model, experimental data from fifty patients, acquired from a local hospital in semi-structured format, is used. First, the data is transformed into structured format and then used for mining prediction rules. Rough set theory (RST) based techniques and algorithms are used to mine the prediction rules. During the online execution phase of the model, these rules are used to predict T1DM and T2DM for new patients. Furthermore, the proposed model assists physicians to manage diabetes using knowledge extracted from online diabetes guidelines. Correlation-based trend analysis techniques are used to manage diabetic observations. Experimental results demonstrate

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An Interactive Case-Based Flip Learning Tool for Medical Education

Lecture Notes in Computer Science, 2015

SNS Based Predictive Model for Depression

Lecture Notes in Computer Science, 2015

An Innovative Platform for Person-Centric Health and Wellness Support

Lecture Notes in Computer Science, 2015

Adaptive User Interface and User Experience Based Authoring Tool for Recommendation Systems

Lecture Notes in Computer Science, 2014

Space time block coded multi-user CDMA systems over rayleigh fading channel

2008 Annual IEEE Student Paper Conference, 2008

AbstractThis paper investigates the performance and ca-pacity of space time block coded (STBC) m... more

Social Media Use in the United States: Implications for Health Communication

Journal of Medical Internet Research, 2009

Given the rapid changes in the communication landscape brought about by participative Internet us... more Given the rapid changes in the communication landscape brought about by participative Internet use and social media, it is important to develop a better understanding of these technologies and their impact on health communication. The first step in this effort is to identify the characteristics of current social media users. Up-to-date reporting of current social media use will help monitor the growth of social media and inform health promotion/communication efforts aiming to effectively utilize social media. The purpose of the study is to identify the sociodemographic and health-related factors associated with current adult social media users in the United States. Data came from the 2007 iteration of the Health Information National Trends Study (HINTS, N = 7674). HINTS is a nationally representative cross-sectional survey on health-related communication trends and practices. Survey respondents who reported having accessed the Internet (N = 5078) were asked whether, over the past year, they had (1) participated in an online support group, (2) written in a blog, (3) visited a social networking site. Bivariate and multivariate logistic regression analyses were conducted to identify predictors of each type of social media use. Approximately 69% of US adults reported having access to the Internet in 2007. Among Internet users, 5% participated in an online support group, 7% reported blogging, and 23% used a social networking site. Multivariate analysis found that younger age was the only significant predictor of blogging and social networking site participation; a statistically significant linear relationship was observed, with younger categories reporting more frequent use. Younger age, poorer subjective health, and a personal cancer experience predicted support group participation. In general, social media are penetrating the US population independent of education, race/ethnicity, or health care access. Recent growth of social media is not uniformly distributed across age groups; therefore, health communication programs utilizing social media must first consider the age of the targeted population to help ensure that messages reach the intended audience. While racial/ethnic and health status-related disparities exist in Internet access, among those with Internet access, these characteristics do not affect social media use. This finding suggests that the new technologies, represented by social media, may be changing the communication pattern throughout the United States.

Fluoride and health hazards: community perception in a fluorotic area of central Rajasthan (India): an arid environment

Environmental Monitoring and Assessment, 2010

India is among the 23 nations around the globe where health problems occur due to excess ingestio... more India is among the 23 nations around the globe where health problems occur due to excess ingestion of fluoride (&amp;amp;gt;1.5 mg/l) by drinking water. In Rajasthan, 18 out of 32 districts are fluorotic and 11 million of the populations are at risk. An exploratory qualitative survey was conducted to describe perception of the community regarding fluoride and related health problems in Central Rajasthan. A study on distribution and health hazards by fluoride contaminate in groundwater was performed in 1,030 villages of Bhilwara district of Central Rajasthan. One thousand thirty water samples were collected and analyzed for fluoride concentration. Fluoride concentration in these villages varies from 0.2 to 13.0 mg/l. Seven hundred fifty-six (73.4%) villages have fluoride concentration above 1.0 mg/l. Sixty (5.83%) villages have fluoride concentration above 5.0 mg/l with maximum numbers (24, 19.5%) from Shahpura tehsil. A detailed fluorosis study was carried out in 41 villages out of 60 villages having fluoride above 5.0 mg/l in the study age, sex, and occupation data were also collected. Four thousand, two hundred fifty-two individuals above 5 years age were examined for the evidence of dental fluorosis, while 1998 individuals above 21 years were examined for the evidence of skeletal fluorosis. The overall prevalence of dental and skeletal fluorosis was found to be 3,270/4,252 (76.9%) and 949/1,998 (47.5%), respectively. Maximum of 23.9% (1,016) individuals have mild grade of Dean&amp;amp;#39;s classification. Three hundred seventy-four (8.8%) individuals have severe type of dental fluorosis. The Dean&amp;amp;#39;s Community Fluorosis Index for the studied area in total is 1.62. Maximum CFI 3.0 was recorded from Surajpura of Banera Tehsil. Five hundred sixty-six (28.3%) individuals have Grade I type of skeletal fluorosis while only 0.6% (12) individuals have Grade III skeletal fluorosis. In conclusion, the prevalence and severity of fluorosis increased with increasing fluoride concentration. It was interesting to note that in some villages, the prevalence and severity of fluorosis were highest in subjects belonging to the economically poor community. Similarly, male laborers showed highest prevalence of fluorosis. Prevalence and severity of fluorosis were observed higher in subjects using tobacco, bettle nuts, and alcoholic drinks. In contrast, subjects using citrus fruits and having good nutritional status showed low prevalence.

Study Natural Vadionetirty and Assessment of Excess Cancer Risk in Some Select Areas of Jardan

Hussain , Ahmed Jamil A (1997) Study Natural Vadionetirty and Assessment of Excess Cancer Risk in... more

Greenrey (Green Space) Percentage Estimation Using Band Ratio, NDVI From Landsat Enhanced Thematic Mapper (ETM)-2002 & An Application Of …

mapindia.org

Landsat-7 ETM was used to derive the greenery for the Oct-2002 in the Dezful-Andimeshk, Khuzestan... more

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Influence of soil-applied boron on yield, fiber quality and leaf boron contents of cotton (Gossypium hirsutum L.)

Journal of Agriculture …, 2007

Experiments were conducted to investigate the usefulness of boron (B) on cotton cultivar CIM-499 ... more

Prospective, multi-center study of the effectiveness of orthodontic/orthognathic surgery care in the United Kingdom

American Journal of Orthodontics and Dentofacial Orthopedics, 2009

Introduction: The aim of this study was to evaluate the effectiveness of orthodontic/orthognathic... more Introduction: The aim of this study was to evaluate the effectiveness of orthodontic/orthognathic surgical care provided in the North West region of England. It was an observational, prospective cohort study at 13 maxillofacial clinics in the United Kingdom. Methods: The 131 patients comprised 47 males (35.9%) and 84 females (64.1%), with an average age of 22.6 years. They received orthodontic/orthognathic treatment according to the normal protocols of the operators. They were then followed until all orthodontic treatment was completed. Final skeletal pattern, final peer assessment rating score, number of attendances, and duration of treatment were recorded. Results: At the end of the 5-year study, 94 patients had completed treatment, and 71 had complete data. Data analysis showed that, overall, the treatments provided were effective in terms of skeletal and dental occlusal outcomes; the final mean peer assessment rating score was 10.58. However, treatment duration was longer than commonly expected, with a mean length of 32.8 months (SD,11.3). The outcome of treatment was influenced by only pretreatment skeletal discrepancy. Conclusions: This prospective investigation showed that orthodontic/orthognathic surgical care was effective. The outcome of treatment was influenced only by the severity of the pretreatment skeletal discrepancy. (Am J Orthod Dentofacial Orthop 2009;135:709-14) From the North West UK Orthognathic study group,

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EMG Signal Classification for Human Computer Interaction: A Review EMG Signal Classification for Human Computer Interaction: A Review

With the ever increasing role of computerized machines in society, Human Computer Interaction (HC... more With the ever increasing role of computerized machines in society, Human Computer Interaction (HCI) system has become an increasingly important part of our daily lives. HCI determines the effective utilization of the available information flow of the computing, communication, and display technologies. In recent years, there has been a tremendous interest in introducing intuitive interfaces that can recognize the user's body movements and translate them into machine commands. For the neural linkage with computers, various biomedical signals (biosignals) can be used, which can be acquired from a specialized tissue, organ, or cell system like the nervous system. Examples include Electro-Encephalogram (EEG), Electrooculogram (EOG), and Electromyogram (EMG). Such approaches are extremely valuable to physically disabled persons. Many attempts have been made to use EMG signal from gesture for developing HCI. EMG signal processing and controller work is currently proceeding in various direction including the development of continuous EMG signal classification for graphical controller, that enables the physically disabled to use word processing programs and other personal computer software, internet. It also enable manipulation of robotic devices, prosthesis limb, I/O for virtual reality games, physical exercise equipments etc. Most of the developmental area is based on pattern recognition using neural networks. The EMG controller can be programmed to perform gesture recognition based on signal analysis of groups of muscles action potential. This review paper is to discuss the various methodologies and algorithms used for EMG signal classification for the purpose of interpreting the EMG signal into computer command.

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