{"id":"https://openalex.org/W4412464555","doi":"https://doi.org/10.1186/s40537-025-01207-5","title":"Cloud based real-time multivariate multi-step prediction of systolic blood pressure and heart rate using temporal convolutional network and Apache Spark","display_name":"Cloud based real-time multivariate multi-step prediction of systolic blood pressure and heart rate using temporal convolutional network and Apache Spark","publication_year":2025,"publication_date":"2025-07-16","ids":{"openalex":"https://openalex.org/W4412464555","doi":"https://doi.org/10.1186/s40537-025-01207-5"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01207-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01207-5","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01207-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01207-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108016584","display_name":"Hager Saleh","orcid":"https://orcid.org/0000-0001-6184-7107"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hager Saleh","raw_affiliation_strings":["Faculty of Computers and Artificial Intelligence, Hurghada University, Hurghada, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Artificial Intelligence, Hurghada University, Hurghada, Egypt","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050567281","display_name":"Nora El-Rashidy","orcid":"https://orcid.org/0000-0001-8177-9439"},"institutions":[{"id":"https://openalex.org/I130309236","display_name":"Kafrelsheikh University","ror":"https://ror.org/04a97mm30","country_code":"EG","type":"education","lineage":["https://openalex.org/I130309236"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Nora El-Rashidy","raw_affiliation_strings":["Machine Learning and Information Retrieval Department, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Machine Learning and Information Retrieval Department, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, Egypt","institution_ids":["https://openalex.org/I130309236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033536879","display_name":"Sherif Mostafa","orcid":"https://orcid.org/0000-0002-2520-4005"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sherif Mostafa","raw_affiliation_strings":["Faculty of Computers and Artificial Intelligence, Hurghada University, Hurghada, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Artificial Intelligence, Hurghada University, Hurghada, Egypt","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066802602","display_name":"Abdulaziz AlMohimeed","orcid":"https://orcid.org/0009-0005-9862-6398"},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdulaziz AlMohimeed","raw_affiliation_strings":["College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052265483","display_name":"Shaker El\u2013Sappagh","orcid":"https://orcid.org/0000-0001-9705-1477"},"institutions":[{"id":"https://openalex.org/I130009713","display_name":"Suez University","ror":"https://ror.org/00ndhrx30","country_code":"EG","type":"education","lineage":["https://openalex.org/I130009713"]},{"id":"https://openalex.org/I207547235","display_name":"Benha University","ror":"https://ror.org/03tn5ee41","country_code":"EG","type":"education","lineage":["https://openalex.org/I207547235"]},{"id":"https://openalex.org/I4400009028","display_name":"Galala University","ror":"https://ror.org/04x3ne739","country_code":null,"type":"education","lineage":["https://openalex.org/I4400009028"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Shaker El-Sappagh","raw_affiliation_strings":["Faculty of Computer Science and Engineering, Galala University, Suez 435611, Egypt","Information Systems Department, Faculty of Computers and Artificial Intelligence, Benha University, Banha 13518, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Engineering, Galala University, Suez 435611, Egypt","institution_ids":["https://openalex.org/I130009713","https://openalex.org/I4400009028"]},{"raw_affiliation_string":"Information Systems Department, Faculty of Computers and Artificial Intelligence, Benha University, Banha 13518, Egypt","institution_ids":["https://openalex.org/I207547235"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072299343","display_name":"Zainab H. Ali","orcid":"https://orcid.org/0000-0002-5046-428X"},"institutions":[{"id":"https://openalex.org/I130309236","display_name":"Kafrelsheikh University","ror":"https://ror.org/04a97mm30","country_code":"EG","type":"education","lineage":["https://openalex.org/I130309236"]},{"id":"https://openalex.org/I57629906","display_name":"Nile University","ror":"https://ror.org/03cg7cp61","country_code":"EG","type":"education","lineage":["https://openalex.org/I57629906"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Zainab H. Ali","raw_affiliation_strings":["Department of Electronics and Computer Engineering, School of Engineering and Applied Sciences, Nile University, Giza, Egypt","Department of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Computer Engineering, School of Engineering and Applied Sciences, Nile University, Giza, Egypt","institution_ids":["https://openalex.org/I57629906"]},{"raw_affiliation_string":"Department of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafrelsheikh, Egypt","institution_ids":["https://openalex.org/I130309236"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108016584"],"corresponding_institution_ids":[],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":2.0104,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86373286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9398000240325928,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/spark","display_name":"SPARK (programming language)","score":0.8247132301330566},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.6894943118095398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6687452793121338},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6132152676582336},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.514982283115387},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.46136751770973206},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4301036596298218},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.37149083614349365},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.32335883378982544},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.29217562079429626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28124749660491943},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2075766623020172},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.206853985786438},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1069587767124176},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08616924285888672}],"concepts":[{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.8247132301330566},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6894943118095398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6687452793121338},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6132152676582336},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.514982283115387},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.46136751770973206},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4301036596298218},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.37149083614349365},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.32335883378982544},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.29217562079429626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28124749660491943},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2075766623020172},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.206853985786438},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1069587767124176},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08616924285888672}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-025-01207-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01207-5","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01207-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5df44847e4d247c9a4db723a5d796251","is_oa":true,"landing_page_url":"https://doaj.org/article/5df44847e4d247c9a4db723a5d796251","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":"Journal of Big Data, Vol 12, Iss 1, Pp 1-46 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01207-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01207-5","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01207-5","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412464555.pdf","grobid_xml":"https://content.openalex.org/works/W4412464555.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W950853366","https://openalex.org/W1071368427","https://openalex.org/W1156664373","https://openalex.org/W1656898673","https://openalex.org/W1970412017","https://openalex.org/W2064675550","https://openalex.org/W2122966699","https://openalex.org/W2130312979","https://openalex.org/W2160801689","https://openalex.org/W2180882458","https://openalex.org/W2247568498","https://openalex.org/W2530314904","https://openalex.org/W2542459869","https://openalex.org/W2604258491","https://openalex.org/W2604922364","https://openalex.org/W2761415985","https://openalex.org/W2782959932","https://openalex.org/W2784502443","https://openalex.org/W2804882919","https://openalex.org/W2898485069","https://openalex.org/W2907536137","https://openalex.org/W2908867460","https://openalex.org/W2910830939","https://openalex.org/W2914440067","https://openalex.org/W2920258695","https://openalex.org/W2937484199","https://openalex.org/W2963309363","https://openalex.org/W2963608065","https://openalex.org/W2978273980","https://openalex.org/W2994709722","https://openalex.org/W2996206732","https://openalex.org/W2996954264","https://openalex.org/W2999716773","https://openalex.org/W3004070234","https://openalex.org/W3007551345","https://openalex.org/W3031176687","https://openalex.org/W3037322243","https://openalex.org/W3040040993","https://openalex.org/W3046567096","https://openalex.org/W3083204285","https://openalex.org/W3100734282","https://openalex.org/W3115069763","https://openalex.org/W3120015513","https://openalex.org/W3126434679","https://openalex.org/W3131395107","https://openalex.org/W3144707062","https://openalex.org/W3153977456","https://openalex.org/W3191253450","https://openalex.org/W3192530442","https://openalex.org/W3203298641","https://openalex.org/W3215465102","https://openalex.org/W3216691447","https://openalex.org/W4200102736","https://openalex.org/W4205915034","https://openalex.org/W4212904355","https://openalex.org/W4230981215","https://openalex.org/W4284897283","https://openalex.org/W4293054791","https://openalex.org/W4312100216","https://openalex.org/W4317737894","https://openalex.org/W4321204435","https://openalex.org/W4321494985","https://openalex.org/W4324385549","https://openalex.org/W4379381485","https://openalex.org/W4382362474","https://openalex.org/W4387177236","https://openalex.org/W4390170858","https://openalex.org/W4393044095","https://openalex.org/W4394011589","https://openalex.org/W4394856710","https://openalex.org/W4401895087","https://openalex.org/W4403677326","https://openalex.org/W4403935192","https://openalex.org/W4404959087","https://openalex.org/W4405747085","https://openalex.org/W4405802758","https://openalex.org/W4406614497","https://openalex.org/W4408869639","https://openalex.org/W4408958860","https://openalex.org/W6614148910","https://openalex.org/W6679436768","https://openalex.org/W6737778391"],"related_works":["https://openalex.org/W1975949872","https://openalex.org/W3159871278","https://openalex.org/W2230552005","https://openalex.org/W2905242764","https://openalex.org/W4391094140","https://openalex.org/W3109411864","https://openalex.org/W3017846737","https://openalex.org/W4379407450","https://openalex.org/W3003280185","https://openalex.org/W2613379984"],"abstract_inverted_index":{"Abstract":[0],"Systolic":[1],"blood":[2],"pressure":[3],"(SBP)":[4],"and":[5,33,52,73,87,102,116,125,137,142,200,205,210,221,231,259],"heart":[6],"rate":[7],"(HR)":[8],"are":[9,146,224],"critical":[10],"for":[11,153,203,213,262,271],"proactive":[12],"clinical":[13],"decision-making,":[14],"particularly":[15],"in":[16,24,104,127,215],"intensive":[17],"care":[18],"environments.":[19],"Early":[20],"identification":[21],"of":[22,163,265],"abnormalities":[23],"these":[25],"vital":[26,266],"signs":[27],"helps":[28],"patients":[29],"receive":[30],"appropriate":[31],"treatment":[32],"reduce":[34],"associated":[35],"health":[36],"degradation.":[37],"This":[38],"study":[39],"presents":[40],"FCMS-iDMM,":[41],"a":[42,257],"fog/cloud-based":[43],"real-time":[44,229,263],"forecasting":[45,75,100,123,183,234,251],"system":[46,255],"that":[47,243],"simultaneously":[48],"predicts":[49],"future":[50],"SBP":[51,103,126,214,232],"HR":[53,101,124,204,230],"values":[54],"using":[55,107,140,238],"deep":[56],"learning":[57,170],"models":[58,139,172,194,245],"integrated":[59],"with":[60,195],"big":[61],"data":[62],"streaming":[63],"platforms.":[64],"The":[65,96,253],"research":[66],"involves":[67],"two":[68],"main":[69],"phases:":[70],"offline":[71,80],"model":[72,81],"online":[74,233],"pipeline":[76],"optimization.":[77],"During":[78],"the":[79,85,149,161,164,188,228,239,269],"development,":[82],"we":[83],"explore":[84],"single-task":[86,247],"multi-task":[88,166,244],"modeling.":[89],"Different":[90],"optimization":[91],"steps":[92],"have":[93],"been":[94],"explored.":[95],"single":[97],"task":[98],"includes":[99],"multi-step":[105,129],"heads":[106,130],"Temporal":[108,175],"Convolutional":[109,176],"Networks":[110,177],"(TCN),":[111],"Long":[112],"Short-Term":[113],"Memory":[114],"(LSTM),":[115],"Gated":[117],"Recurrent":[118],"Unit":[119],"(GRU).":[120],"Multi-task":[121,169],"comprises":[122],"diverse":[128],"as":[131],"puerperal":[132],"employing":[133],"TCN,":[134],"sequence-to-sequence":[135],"(seq2seq),":[136],"Autoencoder":[138],"LSTM":[141],"GRU.":[143],"Extensive":[144],"results":[145],"accomplished":[147],"by":[148],"Medical":[150],"Information":[151],"Mart":[152],"Intensive":[154],"Care":[155],"III":[156],"(MIMIC":[157],"III)":[158],"to":[159,192,226],"assess":[160],"performance":[162,190],"proposed":[165,254],"DL":[167],"model.":[168],"(MTL)":[171],"based":[173],"on":[174],"(TCNs)":[178],"achieved":[179],"superior":[180],"performance.":[181],"In":[182],"8":[184],"min,":[185],"TCN":[186],"recorded":[187],"best":[189],"compared":[191],"other":[193],"1.5428":[196],"RMSE,":[197,207],"1.0871":[198],"MAE,":[199],"1.269":[201],"MAPE":[202,212],"4.1446":[206],"2.4323":[208],"MAE":[209],"2.5237":[211],"multi-task.":[216],"Simulated":[217],"sensors,":[218],"Apache":[219,222],"Kafka,":[220],"Spark":[223],"used":[225],"develop":[227],"pipeline.":[235],"Experimental":[236],"validation":[237],"MIMIC-III":[240],"database":[241],"confirmed":[242],"outperform":[246],"approaches":[248],"across":[249],"multiple":[250],"horizons.":[252],"offers":[256],"scalable":[258],"efficient":[260],"solution":[261],"monitoring":[264],"signs,":[267],"paving":[268],"way":[270],"predictive,":[272],"patient-centered":[273],"healthcare":[274],"systems.":[275]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}
