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Predicting Dementia Risk Factors Based on Feature Selection and Neural Networks

Computers, Materials & Continua 2023年第5期75卷 2491-2508页

作者： Ashir Javeed Ana Luiza Dallora johan Sanmartin berglund Arif Ali Peter Anderberg Liaqat Ali Aging Research Center Karolinska InstitutetStockholm17165Sweden Department of Health Blekinge Institute of TechnologyKarlskrona37141Sweden School of Health Sciences University of SkövdeSkövdeSE 54128Sweden Department of Computer Science University of Science and Technology BannuBannu28100Pakistan Department of Electrical Engineering University of Science and Technology BannuBannu28100Pakistan

Dementia is a disorder with high societal impact and severe consequences for its patients who suffer from a progressive cognitive decline that leads to increased morbidity,mortality,and *** there is a consensus that dementia is a multifactorial disorder,which portrays changes in the brain of the affected individual as early as 15 years before its onset,prediction models that aim at its early detection and risk identification should consider these *** study aims at presenting a novel method for ten years prediction of dementia using on multifactorial data,which comprised 75 *** are two automated diagnostic systems developed that use genetic algorithms for feature selection,while artificial neural network and deep neural network are used for dementia *** proposed model based on genetic algorithm and deep neural network had achieved the best accuracy of 93.36%,sensitivity of 93.15%,specificity of 91.59%,MCC of 0.4788,and performed superior to other 11 machine learning techniques which were presented in the past for dementia *** identified best predictors were:age,past smoking habit,history of infarct,depression,hip fracture,single leg standing test with right leg,score in the physical component summary and history of TIA/*** identification of risk factors is imperative in the dementia research as an effort to prevent or delay its onset.

关键词： Dementia prediction feature selection genetic algorithm neural networks

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Aetiology of Tick-Borne Infections in an Adult Swedish Population—Are Co-Infections with Multiple Agents Common?

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Open Journal of Clinical Diagnostics 2014年第1期4卷 31-40页

作者： Marika Nordberg Pia Forsberg johan berglund Anneli Bjoersdorff Jan Ernerudh Ulf Garpmo Mats Haglund Kenneth Nilsson Ingvar Eliasson Infectious Medicine Department of Clinical and Experimental MedicineFaculty of Health SciencesLinkoping UniversityLinkopingSweden Department of Infectious Diseases County Council of OstergotlandLinkopingSweden Blekinge Institute of Technology School of Health ScienceKarlskronaSweden Djursjukhusgruppen DanderydSweden Clinical Immunology Department of Clinical and Experimental MedicineFaculty of Health SciencesLinkoping UniversityDepartment of Clinical Immunology and Transfusion MedicineCounty Council of OstergotlandLinkopingSweden Department of Clinical Microbiology Kalmar County HospitalKalmarSweden Department of Infectious Diseases Kalmar County HospitalKalmarSweden Unit of Clinical Microbiology/Infectious Diseases Department of Medical SciencesUppsala UniversityUppsalaSweden Department of Laboratory Medicine Norra Alvsborg County HospitalTrollhattanSweden

In Scandinavia, tick-borne infections affecting humans include Lyme borreliosis (LB), tick-borne encephalitis (TBE) and human granulocytic anaplasmosis (HGA). Each of these infections can present with unspecific symptoms. In this prospective clinical study, we recruited patients based on two independent inclusion criteria;1) patients with unspecific symptoms, i.e. fever (≥38.0℃) or a history of feverishness and/or any combination of headache, myalgia or arthralgia and 2) patients with erythema migrans (EM), following an observed tick bite or tick exposure within one month prior to onset of symptoms. A total of 206 patients fulfilled the study. Among these, we could identify 186 cases of LB (174 with EM), 18 confirmed and two probable cases of HGA and two cases of TBE. Thirteen of the HGA cases presented without fever. Furthermore, 22 of the EM patients had a sub-clinical co-infection with Anaplasma phagocytophilum, based on serology. Both TBE cases had co-infections, one with Borrelia burgdorferi and one with Anaplasma phagocytophilum. We conclude that it is important to consider several causative agents and possible co-infections in the clinical management of infectious diseases where ticks may be suspected as vectors.

关键词： Epidemiology Tick-Borne Infections Tick-Borne Encephalitis Lyme Borreliosis Human Granulocytic Anaplasmosis

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How much has the Sun influenced Northern Hemisphere temperature trends?An ongoing debate

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Research in Astronomy and Astrophysics 2021年第6期21卷 131-198页

作者： Ronan Connolly Willie Soon Michael Connolly Sallie Baliunas johan berglund C.John Butler Rodolfo Gustavo Cionco Ana G.Elias Valery M.Fedorov Hermann Harde Gregory W.Henry Douglas V.Hoyt Ole Humlum David R.Legates Sebastian Liming Nicola Scafetta Jan-Erik Solheim Laszlo Szarka Harry van Loon Victor M.Velasco Herrera Richard C.Willson Hong Yan Weijia Zhang Center for Environmental Research and Earth Science(CERES) SalemMA 01970USA Independent scientists DublinIreland Retired formerly Harvard-Smithsonian Center for AstrophysicsCambridgeMA 02138USA Independent researcher MalmoSweden Retired formerly Armagh ObservatoryCollege HillArmagh BT619DGNorthern IrelandUK Comision de Investigaciones Cientlficas de la Provincia de Buenos Aires Argentina Grupo de Estudios Ambientales Universidad Tecnologica NationalColpn 332San Nicolas(2900)Buenos AiresArgentina Laboratorio de Fisica de la Atmosfera Facultad de Ciencias Exactas y TecnologlaUniversidad National de TucumanAv.Independencia 18004000 TucumanArgentina Instituto de Fisica del Noroeste Argentino(Consejo Nacional de Investigaciones Cientficas y Tecnicas-Universidad Nacional de Tucuman) 4000 TucumanArgentina Faculty of Geography LomonosovMoscow State UniversityLeninskie Gory St.1Moscow 119991Russia Helmut-Schmidt-University HamburgGermany Center of Excellence in Information Systems Tennessee State UniversityNashvilleTN 37209 USA Independent scientist Berkeley SpringsWVUSA Emeritus Professor in Physical Geography Department of GeosciencesUniversity of OsloNorway College of Earth Oceanand the EnvironmentUniversity of DelawareNewark DE 19716-2541USA Institute for Hydrography Geoecology and Climate SciencesHauptstra/3e 476315 AgeriSwitzerland Department of Earth Sciences Environment and GeoresourcesUniversity of Naples Federico nComplesso Universitario di Monte S.Angelovia Cinthia2180126 NaplesItaly Retired formerly Department of Physics and TechnologyUiT The Arctic University of Norway9037 TromspNorway ELKH Institute of Earth Physics and Space Science 9400 SopronCsatkai utca 6-8Hungary Retired formerly National Center for Atmospheric ResearchBoulderColoradoUSA Instituto de Geofisica Universidad Nacional Autonoma de MexicoCiudad UniversitariaCoyoacan04510Mexico D.F.Mexico Active Cavity Radiometer Irradiance Monitor(ACRIM) CoronadoCA 92118USA State Key Laboratory of Loe

In order to evaluate how much Total Solar Irradiance(TSI)has influenced Northern Hemisphere surface air temperature trends,it is important to have reliable estimates of both *** different estimates of the changes in TSI since at least the 19th century were compiled from the *** of these estimates are"low variability"and half are"high variability".Meanwhile,five largely-independent methods for estimating Northern Hemisphere temperature trends were evaluated using:1)only rural weather stations;2)all available stations whether urban or rural(the standard approach);3)only sea surface temperatures;4)tree-ring widths as temperature proxies;5)glacier length records as temperature *** standard estimates which use urban as well as rural stations were somewhat anomalous as they implied a much greater warming in recent decades than the other estimates,suggesting that urbanization bias might still be a problem in current global temperature datasets-despite the conclusions of some earlier ***,all five estimates confirm that it is currently warmer than the late 19th century,i.e.,there has been some"global warming"since the 19th *** each of the five estimates of Northern Hemisphere temperatures,the contribution from direct solar forcing for all sixteen estimates of TSI was evaluated using simple linear least-squares *** role of human activity on recent warming was then calculated by fitting the residuals to the UN IPCC’s recommended"anthropogenic forcings"time *** all five Northern Hemisphere temperature series,different TSI estimates suggest everything from no role for the Sun in recent decades(implying that recent global warming is mostly human-caused)to most of the recent global warming being due to changes in solar activity(that is,that recent global warming is mostly natural).It appears that previous studies(including the most recent IPCC reports)which had prematurely concluded the former,had done so be

关键词： Sun:activity (Sun:)solar terrestrial relations (Sun:)sunspots Sun:faculae,plages

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Challenges in the Detection and Attribution of Northern Hemisphere Surface Temperature Trends Since 1850

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Research in Astronomy and Astrophysics 2023年第10期23卷 367-386页

作者： Ronan Connolly Willie Soon Michael Connolly Sallie Baliunas johan berglund C.J.Butler Rodolfo Gustavo Cionco Ana G.Elias Valery M.Fedorov Hermann Harde Gregory W.Henry Douglas V.Hoyt Ole Humlum David R.Legates Nicola Scafetta Jan-Erik Solheim LászlóSzarka Víctor M.Velasco Herrera Hong Yan Weijia Zhang Center for Environmental Research and Earth Science(CERES) SalemMA 01970USA Independent scientists DublinIreland Institute of Earth Physics and Space Science(EPSS) SopronHungary Retired formerly Harvard-Smithsonian Center for AstrophysicsCambridgeMA 02138USA Independent researcher MalmöSweden Retired formerly Armagh ObservatoryCollege HillArmagh BT619DGNorthern IrelandUK Comisión de Investigaciones Científicas de la Provincia de Buenos Aires Argentina Grupo de Estudios Ambientales Universidad Tecnológica NacionalColón 332San Nicolás(2900)Buenos AiresArgentina Laboratorio de Ionosfera Atmosfera Neutra y Magnetosfera(LIANM)Facultad de Ciencias Exactas y TecnologíaUniversidad Nacional de TucumánAv.Independencia 18004000 TucumánArgentina Instituto de Física del Noroeste Argentino(Consejo Nacional de Investigaciones Científicas y Técnicas—Universidad Nacional de Tucumán) 4000 TucumánArgentina Faculty of Geography Lomonosov Moscow State UniversityLeninskie Gory St.1Moscow 119991Russia Helmut-Schmidt-University HamburgGermany Center of Excellence in Information Systems Tennessee State UniversityNashvilleTN 37209 USA Independent scientist Berkeley SpringsWVUSA Emeritus Professor in Physical Geography Department of GeosciencesUniversity of OsloNorway Professor Emeritus College of EarthOceanand the EnvironmentUniversity of DelawareNewark DE 19716-2541USA Department of Earth Sciences Environment and GeoresourcesUniversity of Naples Federico IIComplesso Universitario di Monte S.Angelovia Cinthia21I-80126 NaplesItaly Retired formerly Department of Physics and TechnologyUiT The Arctic University of Norway9037 TromsøNorway Instituto de Geofisica Universidad Nacional Autónoma de MéxicoCiudad UniversitariaCoyoacán04510México D.F.México State Key Laboratory of Loess and Quaternary Geology Institute of Earth EnvironmentChinese Academy of SciencesXi’an 710061China Department of Mathematics and Physics Shaoxing UniversityShaoxing 312000China

Since 2007,the Intergovernmental Panel on Climate Change(IPCC)has heavily relied on the comparison between global climate model hindcasts and global surface temperature(ST)estimates for concluding that post-1950s global warming is mostly *** Connolly et al.,we cautioned that this approach to the detection and attribution of climate change was highly dependent on the choice of Total Solar Irradiance(TSI)and ST data *** compiled 16 TSI and five ST data sets and found by altering the choice of TSI or ST,one could(prematurely)conclude anything from the warming being“mostly human-caused”to“mostly natural.”Richardson and Benestad suggested our analysis was“erroneous”and“flawed”because we did not use a multilinear *** argued that applying a multilinear regression to one of the five ST series re-affirmed the IPCC's attribution *** also objected that many of the published TSI data sets were ***,here we show that when applying multilinear regression analysis to an expanded and updated data set of 27 TSI series,the original conclusions of Connolly et *** confirmed for all five ST data ***,it is still unclear whether the observed warming is mostly human-caused,mostly natural or some combination of both.

关键词： Sun:activity (Sun:)solar-terrestrial relations Earth

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