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Privacy Concerns In IoT A Deeper Insight into Privacy Concerns in IoT Based Healthcare

Fatma Alshohoumi, Mohamed Sarrab
2020 International Journal of Computing and Digital Systems  
Future research will extend this work to design privacy preservation mechanisms that suit the nature of IoT-based healthcare.  ...  It discusses the IoT privacy concerns in healthcare and provides a complete scenario of the IoT data flow with privacy concerns.  ...  The hacker can gain access to the device and enforce it to deliver a lethal dose of insulin to diabetic patients [148] .  ... 
doi:10.12785/ijcds/090306 fatcat:uweseonn2rclbnhksuljxnauim

Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey [article]

Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene, Amr Mohamed, Aiman Erbad, Mohsen Guizani
2021 arXiv   pre-print
A lightweight privacy-preserving scheme is presented in [82] , based on Q-learning.  ...  Thus, efficient privacy-preserving schemes should be implemented near to the patients.  ... 
arXiv:2108.04087v1 fatcat:ifdpiqwunrawbmpfy6ftjk43g4

A distributed ensemble approach for mining healthcare data under privacy constraints

Yan Li, Changxin Bai, Chandan K. Reddy
2016 Information Sciences  
In this regard, there are conflicting objectives of preserving patient privacy and having sufficient data for modeling and decision making.  ...  related decisions.  ...  distributed privacy preservation [13] .  ... 
doi:10.1016/j.ins.2015.10.011 pmid:26681811 pmcid:PMC4677334 fatcat:kjosxdwhuvc3nnd2dnn7gcv75e

Impact of Information Technology on the Therapy of Type-1 Diabetes: A Case Study of Children and Adolescents in Germany

Rolf-Dietrich Berndt, Claude Takenga, Petra Preik, Sebastian Kuehn, Luise Berndt, Herbert Mayer, Alexander Kaps, Ralf Schiel
2014 Journal of Personalized Medicine  
Being able to manage and adjust insulin doses is a key part of managing type-1 diabetes.  ...  0.73 Insulin dose per kg body weight (I.U.  ...  /kg body weight) at the beginning 0.89 ± 0.33 0.86 ± 0.44 0.74 Insulin dose (I.U.) at the end 46.3 ± 17.8 47.0 ± 24.4 0.89 Insulin dose per kg body weight (I.U.  ... 
doi:10.3390/jpm4020200 pmid:25563223 pmcid:PMC4263973 fatcat:3tvx7yatffasblxv7watdcc254

Using Medical History Embedded in Biometrics Medical Card for User Identity Authentication: Data Representation by AVT Hierarchical Data Tree

Simon Fong, Yan Zhuang
2012 Journal of Biomedicine and Biotechnology  
Privacy, however, may be a concern when medical history is used for authentication.  ...  One of the challenges is to preserve privacy and find association among the attributes.  ...  dose NPH insulin dose Ultralente insulin dose Ad-hoc measurement Breakfast BG measurement Lunch BG measurement Supper BG measurement Snack BG measurement Other events Heavy meal  ... 
doi:10.1155/2012/539395 pmid:22547926 pmcid:PMC3325028 fatcat:4jgkjlltvfbrrl3dk433tu2a5m

Using Digital Health Technology to Better Generate Evidence and Deliver Evidence-Based Care

Abhinav Sharma, Robert A. Harrington, Mark B. McClellan, Mintu P. Turakhia, Zubin J. Eapen, Steven Steinhubl, James R. Mault, Maulik D. Majmudar, Lothar Roessig, Karen J. Chandross, Eric M. Green, Bakul Patel (+5 others)
2018 Journal of the American College of Cardiology  
Despite their potential, the use of such information technologies in clinical care and research faces major data quality, privacy, and regulatory concerns.  ...  As we enter the information age of health care, digital health technologies offer significant opportunities to optimize both clinical care delivery and clinical research.  ...  The app requires a prescription from a physician and enables patients to titrate insulin dosing by using the proprietary insulin calculator (7).  ... 
doi:10.1016/j.jacc.2018.03.523 pmid:29880129 fatcat:drplm3ttcrggtbiooymz7336im

Rationale, design, and methods for the Medical Optimization and Management of Pregnancies with Overt Type 2 Diabetes (MOMPOD) study

Diane C. Berry, Sonia Davis Thomas, Karen F. Dorman, Amber Rose Ivins, Maria de los Angeles Abreu, Laura Young, Kim Boggess
2018 BMC Pregnancy and Childbirth  
Strict maternal glycemic control is the key to optimizing infant outcomes.  ...  plus insulin versus insulin alone.  ...  Independent of study participation the primary physician is responsible for all clinical treatment decisions including insulin dosing.  ... 
doi:10.1186/s12884-018-2108-3 pmid:30541506 pmcid:PMC6292086 fatcat:2pp3sumbdreghntvcwrnfdttxe

Liraglutide vs Exenatide: Patient Adherence, Medication Persistence and Economic Evaluation in the Treatment of Type 2 Diabetes Mellitus

Fiorenzo Santoleri, Paola Sorice, Ruggero Lasala, Alberto Costantini
2014 Pharmacology and Pharmacy  
Treatment adherence was quantified utilizing the ratio between RDD and Prescribed Daily Dose (PDD).  ...  Persistence is calculated into account the actual therapy days, comparing posology with supplied dose and the graph is drawn using Kaplan-Meir method.  ...  Previously, they were developed to counter postprandial glycaemia, and then they were found to be capable of improving beta cell survival, thus contributing to the long-term, optimal regulation of insulin  ... 
doi:10.4236/pp.2014.54040 fatcat:frdwnkbinjgl3cquziowusuv4i

2016 Diabetes Technology Meeting Abstracts

2017 Journal of Diabetes Science and Technology  
A38 Diabetes Technology Meeting November 10 The capability of a patient to measure their own insulin concentration in real time could better inform decisions about subsequent dosing.  ...  Insulin doses or OAD regimen were modified in tandem with AGP graphs.  ...  Conclusion: The proposed mp-ZMPC is an attractive decision-making algorithm for the artificial pancreas (AP) as it provides identical insulin profiles as a ZMPC.  ... 
doi:10.1177/1932296817696371 fatcat:beoqlfgdsbecnm7mnx3y44ptnm

A randomized controlled trial-based algorithm for insulin-pump therapy in hyperglycemic patients early after kidney transplantation

Johannes M. Werzowa, Marcus D. Säemann, Alexander Mohl, Michael Bergmann, Christopher C. Kaltenecker, Wolfgang Brozek, Andreas Thomas, Michael Haidinger, Marlies Antlanger, Johannes J. Kovarik, Chantal Kopecky, Peter X. K. Song (+4 others)
2018 PLoS ONE  
Privacy and Confidentiality Each participant's privacy and confidentiality will be respected throughout the study.  ...  doses.  ...  APPENDICES *only high pre-lunch and at bedtime glucose levels will require short acting insulin coverage.  ... 
doi:10.1371/journal.pone.0193569 pmid:29518094 pmcid:PMC5843249 fatcat:ezjj3licdzfdfcjqqpg546ohbq

Efficacy and Safety of Dulaglutide Versus Insulin Glargine in Chinese T2DM Patients: A Subgroup Analysis of a Randomized Trial (AWARD-CHN2)

Yan Li, Ling Li, Yong De Peng, Guang Yao Song, Shan Dong Ye, Li Ying Du, Jia Ning Hou, Qiu He Ji
2019 Diabetes Therapy  
Both doses of dulaglutide were noninferior and superior to glargine at 26 weeks and 52 weeks (two-sided P value < 0.05).  ...  The primary endpoint was assessment of the noninferiority of dulaglutide 1.5 mg as measured by change in HbA1c, compared with insulin glargine (glargine), using a 0.4% noninferiority margin at week 26.  ...  Incretin hormones help in preservation of beta cell function [8] .  ... 
doi:10.1007/s13300-019-0646-y pmid:31228090 pmcid:PMC6612357 fatcat:rhn443oc2vfopa56wudvinlqda

How to Best Protect People With Diabetes From the Impact of SARS-CoV-2: Report of the International COVID-19 and Diabetes Summit

Jennifer Y. Zhang, Trisha Shang, David Ahn, Kong Chen, Gerard Coté, Juan Espinoza, Carlos E. Mendez, Elias K. Spanakis, Bithika Thompson, Amisha Wallia, Lauren E. Wisk, David Kerr (+1 others)
2021 Journal of Diabetes Science and Technology  
, (19) International Responses to COVID-19, (20) Government Policy, (21) Regulation of Tests and Treatments, (22) Digital Health Technology, (23) Big Data Statistics, and 24) Patient Surveillance and Privacy  ...  However, policy and technological goals for privacy need to align around optimizing privacy protections for both individual patient and population health needs.  ...  Generally, glucose checks and insulin dosing can be clustered with other scheduled nursing interventions, thus reducing exposure and potentially improving care.  ... 
doi:10.1177/1932296820978399 pmid:33476193 fatcat:c2nwndrafvezdb7zokckz55w2a

Type 1 Diabetes in Children and Adolescents: A Position Statement by the American Diabetes Association

Jane L. Chiang, David M. Maahs, Katharine C. Garvey, Korey K. Hood, Lori M. Laffel, Stuart A. Weinzimer, Joseph I. Wolfsdorf, Desmond Schatz
2018 Diabetes Care  
in insulin dosing regimens based on blood glucose patterns and trends.  ...  intake, eating bedtime snacks, using CGM, and/or reducing basal insulin doses.  ... 
doi:10.2337/dci18-0023 pmid:30093549 pmcid:PMC6105320 fatcat:4xzem6d5nrcwle5iv2phvvvmtq

A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard

Shaker El-Sappagh, Farman Ali, Abdeltawab Hendawi, Jun-Hyeog Jang, Kyung-Sup Kwak
2019 BMC Medical Informatics and Decision Making  
Mobile health (MH) technologies including clinical decision support systems (CDSS) provide an efficient method for patient monitoring and treatment.  ...  The morning dose is divided again into 2/3 in an intermediate-acting dose (e.g. NPH insulin), and 1/3 in a short-acting dose (e.g. regular insulin).  ...  As a result, bedtime basal insulin dose must be increased by at least 10%.  ... 
doi:10.1186/s12911-019-0806-z pmid:31077222 pmcid:PMC6511155 fatcat:hp657vv5afg6xey7mlkonphaei

Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications [article]

Jin Li, Benjamin J. Cairns, Jingsong Li, Tingting Zhu
2021 arXiv   pre-print
EHR-M-GAN may have use in developing AI algorithms in resource-limited settings, lowering the barrier for data acquisition while preserving patient privacy.  ...  However, patient privacy has become a major concern that limits data sharing across hospital settings and subsequently hinders the advances in AI.  ...  Privacy-preserving data sharing infrastructures for medical research: systematization and comparison. BMC Medical Informatics and Decision Making, 21(1), 1–13.  ... 
arXiv:2112.12047v1 fatcat:hvul4asuhfdtzbwjqlox5id23e
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