{"id":"https://openalex.org/W7128736434","doi":"https://doi.org/10.1186/s12911-026-03343-1","title":"A comprehensive maternal health risk prediction dataset from IoT-enabled medical cyber-physical systems in developing countries: supporting machine learning and deep learning applications for clinical decision support","display_name":"A comprehensive maternal health risk prediction dataset from IoT-enabled medical cyber-physical systems in developing countries: supporting machine learning and deep learning applications for clinical decision support","publication_year":2026,"publication_date":"2026-02-12","ids":{"openalex":"https://openalex.org/W7128736434","doi":"https://doi.org/10.1186/s12911-026-03343-1","pmid":"https://pubmed.ncbi.nlm.nih.gov/41680779"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-026-03343-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-026-03343-1","pdf_url":null,"source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1186/s12911-026-03343-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101557071","display_name":"Mohammad Mobarak Hossain","orcid":"https://orcid.org/0000-0003-2400-392X"},"institutions":[{"id":"https://openalex.org/I4210144275","display_name":"Dhaka University of Engineering & Technology","ror":"https://ror.org/03qxvyy35","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210144275"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Mohammad Mobarak Hossain","raw_affiliation_strings":["Department of Computer Science and Engineering, Dhaka University of Engineering and Technology(DUET), Gazipur, 1707, Bangladesh. mobarak.hossain@smuct.ac.bd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Dhaka University of Engineering and Technology(DUET), Gazipur, 1707, Bangladesh. mobarak.hossain@smuct.ac.bd","institution_ids":["https://openalex.org/I4210144275"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093362728","display_name":"Nasim Mahmud Nayan","orcid":null},"institutions":[{"id":"https://openalex.org/I142758973","display_name":"University of Information Technology and Sciences","ror":"https://ror.org/04j1jjs80","country_code":"BD","type":"education","lineage":["https://openalex.org/I142758973"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Nasim Mahmud Nayan","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Information Technology and Sciences (UITS), Dhaka, 1212, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Information Technology and Sciences (UITS), Dhaka, 1212, Bangladesh","institution_ids":["https://openalex.org/I142758973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102584617","display_name":"Mohammod Abdul Kashem","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144275","display_name":"Dhaka University of Engineering & Technology","ror":"https://ror.org/03qxvyy35","country_code":"BD","type":"education","lineage":["https://openalex.org/I4210144275"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mohammod Abdul Kashem","raw_affiliation_strings":["Department of Computer Science and Engineering, Dhaka University of Engineering and Technology(DUET), Gazipur, 1707, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Dhaka University of Engineering and Technology(DUET), Gazipur, 1707, Bangladesh","institution_ids":["https://openalex.org/I4210144275"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101557071"],"corresponding_institution_ids":["https://openalex.org/I4210144275"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18749863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.2736999988555908,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.2736999988555908,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.14079999923706055,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.08739999681711197,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/clinical-decision-support-system","display_name":"Clinical decision support system","score":0.7433000206947327},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.6273999810218811},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6243000030517578},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5550000071525574},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5073000192642212},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.4578000009059906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45419999957084656},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4092999994754791},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.3970000147819519},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.3864000141620636}],"concepts":[{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.7433000206947327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7121999859809875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7120000123977661},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.6273999810218811},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6243000030517578},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5550000071525574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5523999929428101},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5073000192642212},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.4578000009059906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45419999957084656},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4092999994754791},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3564999997615814},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3564000129699707},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.34709998965263367},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31839999556541443},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.314300000667572},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.28929999470710754},{"id":"https://openalex.org/C71405471","wikidata":"https://www.wikidata.org/wiki/Q757012","display_name":"Quality management","level":3,"score":0.2892000079154968},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2831000089645386},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2718000113964081},{"id":"https://openalex.org/C2780221984","wikidata":"https://www.wikidata.org/wiki/Q131191","display_name":"Body mass index","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C2779891985","wikidata":"https://www.wikidata.org/wiki/Q46994","display_name":"Telemedicine","level":3,"score":0.2524999976158142}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-026-03343-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-026-03343-1","pdf_url":null,"source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:41680779","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41680779","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:13005474","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13005474/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13005474/pdf/12911_2026_Article_3343.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f708b010d546454689a45cab440b9d4b","is_oa":true,"landing_page_url":"https://doaj.org/article/f708b010d546454689a45cab440b9d4b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 26, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12911-026-03343-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-026-03343-1","pdf_url":null,"source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4410803020000458,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2888765847","https://openalex.org/W3020272230","https://openalex.org/W4200071622","https://openalex.org/W4211032164","https://openalex.org/W4232395828","https://openalex.org/W4240748119","https://openalex.org/W4386211330","https://openalex.org/W4389097062","https://openalex.org/W4391677740","https://openalex.org/W4394928287","https://openalex.org/W4400958434","https://openalex.org/W4400973552","https://openalex.org/W4403033892","https://openalex.org/W4403919160","https://openalex.org/W4408155482","https://openalex.org/W4408249334","https://openalex.org/W6887890959","https://openalex.org/W6907612436","https://openalex.org/W6962726951"],"related_works":[],"abstract_inverted_index":{"BACKGROUND:":[0],"This":[1,282],"data":[2,184,307,333],"article":[3],"presents":[4],"a":[5],"comprehensive":[6],"maternal":[7,289],"health":[8,290,359],"risk":[9,81,291,343],"dataset":[10,50,283],"comprising":[11],"6058":[12],"samples":[13,109],"(from":[14],"an":[15],"initially":[16],"collected":[17,26],"6103":[18],"samples,":[19],"after":[20],"quality":[21,102,185,336],"validation":[22,103],"and":[23,45,61,72,97,134,171,206,246,302,328,345,357],"outlier":[24],"removal)":[25],"through":[27,144],"Internet":[28],"of":[29],"Things":[30],"(IoT)-enabled":[31],"Medical":[32],"Cyber-Physical":[33],"Systems":[34],"(MCPS)":[35],"across":[36],"nine":[37],"healthcare":[38,329],"facilities":[39],"in":[40,190,293,362],"Bangladesh":[41],"between":[42,244],"February":[43],"2021":[44],"January":[46],"2023.":[47],"METHODS:":[48],"The":[49,240,306],"includes":[51],"eight":[52],"clinical":[53,126,165,188,300,313,355],"features:":[54],"age,":[55],"body":[56,65,203],"temperature,":[57],"heart":[58],"rate,":[59],"systolic":[60,207],"diastolic":[62,199],"blood":[63,74,200,208],"pressure,":[64],"mass":[66],"index":[67],"(BMI),":[68],"hemoglobin":[69],"A1c":[70],"(HbA1c),":[71],"fasting":[73],"glucose":[75],"levels,":[76],"with":[77,92,159,163,169,338],"expert-":[78],"validated":[79,340],"three-level":[80],"classifications":[82],"(high,":[83],"mid,":[84],"low).":[85],"Data":[86],"collection":[87],"employed":[88],"standardized":[89],"IoT":[90],"sensors":[91],"Raspberry":[93],"Pi":[94],"4":[95],"controllers":[96],"medical-grade":[98],"sensor":[99],"arrays.":[100],"Comprehensive":[101,120],"removed":[104],"45":[105],"physio-":[106],"logically":[107],"implausible":[108],"(0.74%),":[110],"ensuring":[111],"all":[112],"values":[113],"fall":[114],"within":[115],"clinically":[116],"acceptable":[117],"ranges.":[118],"RESULTS:":[119],"evaluation":[121],"demonstrates":[122],"dual-purpose":[123],"utility(1)":[124],"immediate":[125,187,299],"deployment":[127,189,301],"for":[128,139,186,236,262,272,288,310,352],"hos-":[129],"pital":[130],"decision":[131,166,192,314],"support":[132,167,193,315],"systems":[133,316],"(2)":[135],"research":[136,304,323],"baseline":[137],"infrastructure":[138,271,324],"future":[140,237,303],"temporal":[141,227,273,321],"modeling":[142,274,322],"studies-validated":[143],"rigorous":[145,335],"experimental":[146],"analysis.":[147],"Traditional":[148],"machine":[149],"learning":[150,264],"models":[151,221],"achieved":[152,222],"clinical-grade":[153],"performance":[154,242],"(defined":[155],"as":[156,212,231],"\u226595%":[157],"accuracy":[158,177,224],"balanced":[160],"precision/recall,":[161],"consistent":[162],"established":[164],"benchmarks),":[168],"XGBoost":[170,245],"Random":[172],"Forest":[173],"both":[174,298],"reaching":[175],"99.34%":[176,319],"(95%":[178],"confidence":[179],"interval:":[180],"98.84\u201399.75%),":[181],"confirming":[182],"exceptional":[183],"hospital":[191],"systems.":[194],"Feature":[195],"importance":[196],"analysis":[197],"identified":[198],"pressure":[201],"(18.1%),":[202],"temperature":[204],"(17.7%),":[205],"pres-":[209],"sure":[210],"(17.0%)":[211],"primary":[213],"predictive":[214],"indicators.":[215],"Additionally,":[216],"recurrent":[217],"neural":[218],"network":[219],"(RNN)":[220],"93.98%":[223],"using":[225],"synthetic":[226],"sequences":[228],"(treating":[229],"features":[230],"timesteps),":[232],"establishing":[233],"architectural":[234],"baselines":[235],"longitudinal":[238,277],"studies.":[239],"5.36%":[241],"gap":[243],"Simple":[247],"RNN":[248,267,326],"(p":[249],"<":[250],"0.001,":[251],"McNemar\u2019s":[252],"test)":[253],"confirms":[254],"the":[255,285],"dataset\u2019s":[256],"cross-sectional":[257],"structure":[258],"is":[259],"optimally":[260],"suited":[261],"ensemble":[263],"methods,":[265],"while":[266],"experiments":[268],"provide":[269],"proof-of-concept":[270],"when":[275],"genuine":[276],"measurements":[278],"become":[279],"available.":[280],"CONCLUSIONS:":[281],"addresses":[284],"critical":[286],"need":[287],"prediction":[292],"resource-limited":[294],"set-":[295],"tings,":[296],"supporting":[297],"directions.":[305],"demonstrate":[308],"readiness":[309],"integration":[311],"into":[312],"(validated":[317],"by":[318],"accuracy),":[320],"(93.98%":[325],"baseline),":[327],"technology":[330],"development.":[331],"All":[332],"underwent":[334],"control":[337],"physiologically":[339],"ranges,":[341],"expert":[342],"classification,":[344],"ethical":[346],"approval":[347],"(DUET-IRB-2021\u2013034),":[348],"making":[349],"it":[350],"suitable":[351],"academic":[353],"research,":[354],"implementation,":[356],"public":[358],"policy":[360],"formulation":[361],"developing":[363],"countries.":[364]},"counts_by_year":[],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2026-02-13T00:00:00"}
