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Hasan M.K.,Marquette University | Ahsan G.M.T.,Marquette University | Ahamed S.I.,Marquette University | Love R.,International Breast Cancer Research Foundation IBCRF | Salim R.,Amader Gram
Journal of Information Processing | Year: 2016

Accurate symptom of cancer patient in regular basis is highly concern to the medical service provider for clinical decision making such as adjustment of medication. Since patients have limitations to provide self-reported symptoms, we have investigated how mobile phone application can play the vital role to help the patients in this case. We have used facial images captured by smart phone to detect pain level accurately. In this pain detection process, existing algorithms and infrastructure are used for cancer patients to make cost low and user-friendly. The pain management solution is the first mobile-based study as far as we found today. The proposed algorithm has been used to classify faces, which is represented as a weighted combination of Eigenfaces. Here, angular distance, and support vector machines (SVMs) are used for the classification system. In this study, longitudinal data was collected for six months in Bangladesh. Again, cross-sectional pain images were collected from three different countries: Bangladesh, Nepal and the United States. In this study, we found that personalized model for pain assessment performs better for automatic pain assessment. We also got that the training set should contain varying levels of pain in each group: low, medium and high. © 2016 Information Processing Society of Japan. Source


Kawsar F.,Marquette University | Hasan M.K.,Marquette University | Roushan T.,Marquette University | Ahamed S.I.,Marquette University | And 2 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

About two billion people in this world are using smart devices where significant computational power, storage, connectivity, and built-in sensors are carried by them as part of their life style. In health telematics, smart phone based innovative solutions are motivated by rising health care cost in both the developed and developing countries. In this paper, systems and algorithms are developed for remote monitoring of human activities using smart phone devices. For this work, time-delay embedding with expectation-maximization for Gaussian Mixture Model is explored as a way of developing activity detection system. In this system, we have developed lower computational cost algorithm by reducing the number of sensors. © Springer International Publishing Switzerland 2016. Source


Hossain S.M.,Khulna Medical College and Hospital | Hussain Md.M.,Dhaka Medical College and Hospital | Mostafa M.G.,National Cancer Research Institute and Hospital | Laudico A.V.,Philippines General Hospital | And 25 more authors.
European Journal of Cancer | Year: 2016

Purpose: In premenopausal women with metastatic hormone receptor-positive breast cancer, hormonal therapy is the first-line therapy. Gonadotropin-releasing hormone analogue + tamoxifen therapies have been found to be more effective. The pattern of recurrence risk over time after primary surgery suggests that peri-operative factors impact recurrence. Secondary analyses of an adjuvant trial suggested that the luteal phase timing of surgical oophorectomy in the menstrual cycle simultaneous with primary breast surgery favourably influenced long-term outcomes. Methods: Two hundred forty-nine premenopausal women with incurable or metastatic hormone receptor-positive breast cancer entered a trial in which they were randomised to historical mid-luteal or mid-follicular phase surgical oophorectomy followed by oral tamoxifen treatment. Kaplan-Meier methods, the log-rank test, and multivariable Cox regression models were used to assess overall and progression-free survival (PFS) in the two randomised groups and by hormone-confirmed menstrual cycle phase. Results: Overall survival (OS) and PFS were not demonstrated to be different in the two randomised groups. In a secondary analysis, OS appeared worse in luteal phase surgery patients with progesterone levels <2 ng/ml (anovulatory patients; adjusted hazard ratio 1.46, 95% confidence interval [CI]: 0.89-2.41, p = 0.14) compared with those in luteal phase with progesterone level of 2 ng/ml or higher. Median OS was 2 years (95% CI: 1.7-2.3) and OS at 4 years was 26%. Conclusions: The history-based timing of surgical oophorectomy in the menstrual cycle did not influence outcomes in this trial of metastatic patients. © 2016 Elsevier Ltd. All rights reserved. Source


Haque M.M.,University of Alabama at Birmingham | Kawsar F.,Marquette University | Adibuzzaman M.,Marquette University | Uddin M.M.,Marquette University | And 6 more authors.
Personal and Ubiquitous Computing | Year: 2014

Healthcare facility is scarce for rural women in the developing world. The situation is worse for patients who are suffering from diseases that require long-term feedback-oriented monitoring such as breast cancer. Lack of motivation to go to the health centers on patients’ side due to sociocultural barriers, financial restrictions and transportation hazards results in inadequate data for proper assessment. Fortunately, mobile phones have penetrated the masses even in rural communities of the developing countries. In this scenario, a mobile phone-based remote symptom monitoring system (RSMS) with inspirational videos can serve the purpose of both patients and doctors. Here, we present the findings of our field study conducted on 39 breast cancer patients in rural Bangladesh. Based on the results of extensive field studies, we have categorized the challenges faced by patients in different phases of the treatment process. As a solution, we have designed, developed and deployed e-ESAS—the first mobile-based RSMS in rural context. Along with the detail need assessment of such a system, we describe the evolution of e-ESAS and the deployment results. We have included the unique and useful design lessons that we learned as e-ESAS evolved through participatory design process. The findings show how e-ESAS addresses several challenges faced by patients and doctors and positively impact their lives. © 2014, Springer-Verlag London. Source


Haque M.M.,University of Alabama at Birmingham | Kawsar F.,Marquette University | Adibuzzaman M.,Marquette University | Uddin M.M.,Marquette University | And 6 more authors.
20th Americas Conference on Information Systems, AMCIS 2014 | Year: 2014

Here, we present the findings of our field study conducted on 39 breast cancer patients in rural Bangladesh. Lack of motivation to go to health centers on patients' side due to financial, social and transportation hazards result in inadequate data for proper assessment. In this scenario a mobile phone based remote symptom monitoring system (RSMS) with inspirational videos can serve the purpose of both patients and doctors. Based on the results of extensive field studies we have designed, developed and deployed e-ESAS - the first mobile based RSMS for rural context. Along with the detail need assessment of such a system, we describe the evolution of e-ESAS and the deployment results. The findings show how e-ESAS addresses several challenges faced by patients and doctors, and positively impact their lives. Source

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